Consultor de Finanzas de Dynamics 365 FO

Società di consulenza IT specializzata nella progettazione, implementazione e gestione di soluzioni tecnologiche per le aziende. Opera in ambiti che comprendono le infrastrutture IT, il cloud computing, la system administration, lo sviluppo software e la consulenza tecnologica.Attraverso le proprie competenze tecniche, supporta i clienti nell'evoluzione dei sistemi informativi, nell'ottimizzazione dei processi e nell'adozione di soluzioni tecnologiche moderne, affidabili e scalabili. La posizionePer un progetto in ambito tecnologico, siamo alla ricerca di un/una DevOps Engineer, interessato/a a sviluppare le proprie competenze nell'automazione dei processi di sviluppo, nella gestione delle infrastrutture cloud e nel rilascio di applicazioni software.La risorsa contribuirà alla gestione e all'evoluzione degli ambienti applicativi e infrastrutturali, collaborando con i team di sviluppo e IT per migliorare l'efficienza, l'affidabilità e la ripetibilità delle attività di deployment.Il ruolo prevede l'utilizzo di strumenti e tecnologie per l'automazione dell'infrastruttura, la gestione delle pipeline CI/CD e l'orchestrazione di applicazioni containerizzate. La figura ideale possiede una buona base tecnica, un approccio analitico e una forte motivazione ad approfondire le metodologie DevOps e le tecnologie cloud.Principali responsabilità•Cloud infrastructure management: supportare la configurazione, la gestione e l'ottimizzazione di infrastrutture cloud su Google Cloud Platform (GCP), Amazon Web Services (AWS) e/o Microsoft Azure.•CI/CD e automazione: contribuire alla realizzazione, manutenzione e ottimizzazione di pipeline di Continuous Integration e Continuous Delivery/Deployment, automatizzando le fasi di build, test e rilascio del software.•Infrastructure as Code (IaC): utilizzare Terraform per descrivere, configurare e gestire le risorse infrastrutturali attraverso codice, favorendo ambienti coerenti, riproducibili e facilmente aggiornabili.•Containerizzazione: collaborare alla creazione e alla gestione di container Docker, supportando la preparazione degli ambienti applicativi e la distribuzione dei servizi.•Orchestrazione con Kubernetes: supportare la gestione di applicazioni containerizzate, contribuendo alla configurazione e al mantenimento dei relativi ambienti di esecuzione.•Scripting e automazione: utilizzare Python e Bash per sviluppare script e strumenti utili a semplificare attività operative, automatizzare procedure ricorrenti e ridurre gli interventi manuali.•Versionamento del codice: utilizzare Git per gestire modifiche, branch e repository, collaborando con gli altri membri del team secondo le pratiche di sviluppo condivise.•Collaborazione tecnica: lavorare a stretto contatto con sviluppatori e professionisti IT per individuare problematiche, migliorare i processi di rilascio e contribuire alla stabilità degli ambienti applicativi.Requisiti tecnici•Conoscenza di almeno una delle principali piattaforme cloud: Google Cloud Platform (GCP), AWS o Microsoft Azure.•Familiarità con i processi e gli strumenti di Continuous Integration e Continuous Delivery/Deployment (CI/CD).•Conoscenza di base dei linguaggi di scripting Python e Bash.•Conoscenza di Terraform e dei principi dell'Infrastructure as Code.•Familiarità con Docker e con i concetti fondamentali della containerizzazione.•Conoscenza di Kubernetes e dei principi di orchestrazione dei container.•Utilizzo di Git per il versionamento del codice e la collaborazione tecnica.•Buone capacità di analisi e problem solving, precisione e attitudine all'apprendimento continuo.Competenze linguistiche•Italiano: livello C2, con piena padronanza della lingua parlata e scritta.•Inglese: livello B1, sufficiente per comprendere documentazione tecnica e comunicare in un contesto professionale. Profilo idealeCerchiamo una persona motivata a intraprendere o consolidare un percorso professionale in ambito DevOps e Cloud Engineering, con interesse per l'automazione, le infrastrutture moderne e il miglioramento continuo dei processi IT.Sono particolarmente apprezzate la curiosità verso le nuove tecnologie, la capacità di affrontare problemi tecnici in modo strutturato, la predisposizione al lavoro in team e la volontà di ampliare progressivamente la propria autonomia operativa.La familiarità con ambienti Linux, i concetti di networking, i sistemi di controllo versione e le metodologie Agile costituisce un valore aggiunto. Sede e condizioni contrattuali•Sede di lavoro: full remote.•RAL indicativa: fino a €50.000 lordi annui.•Ambito: consulenza IT, Cloud e DevOps.La posizione offre l'opportunità di lavorare con tecnologie diffuse nell'ambito cloud-native e di contribuire all'automazione e all'evoluzione degli ambienti infrastrutturali e applicativi.La configurazione contrattuale, la RAL effettivamente riconosciuta e le specifiche del progetto saranno definite in funzione del profilo del candidato e delle condizioni concordate.

Role Overview Our client is looking for a highly experienced Principal AI Engineer to lead the engineering and production deployment of advanced AI solutions, including Generative AI applications, LLM-powered systems, AI agents and machine learning platforms. The role focuses on translating AI research and business requirements into robust, scalable and production-ready applications. The successful candidate will provide hands-on technical leadership, establish AI engineering best practices and work closely with AI architects, product teams, data scientists and software engineers to deliver high-quality AI capabilities. The ideal candidate will combine deep engineering expertise with practical experience in building, evaluating, deploying and operating AI systems at enterprise scale. Key Roles & Responsibilities Lead the engineering and implementation of enterprise AI and Generative AI applications. Develop LLM-powered solutions, RAG pipelines and agent-based workflows. Build production-ready AI services using scalable software engineering principles. Design model evaluation frameworks to measure accuracy, reliability and business effectiveness. Develop data processing, embedding generation and retrieval pipelines. Implement prompt engineering, context management and AI orchestration strategies. Integrate AI models with enterprise APIs, databases and business applications. Optimise inference performance, latency, scalability and operational costs. Establish automated testing, CI/CD and deployment practices for AI applications. Implement observability, monitoring, guardrails and failure-handling mechanisms. Collaborate with architecture, product, data and security teams. Mentor senior engineers and establish reusable AI engineering standards. Evaluate emerging AI models, frameworks and technologies for enterprise adoption. Preferred Qualifications Bachelor's or master's degree in Computer Science, AI, Machine Learning or a related field. 10–15+ years of software engineering or AI-related experience. Strong hands-on experience building and deploying AI or machine learning applications. Demonstrated expertise in Generative AI and production LLM systems. Experience leading complex technical initiatives and mentoring engineering teams. Key Skills & Attributes Advanced software engineering and system design. Generative AI and LLM application development. RAG architecture and retrieval optimisation. Model evaluation and performance tuning. Production deployment and AI observability. Technical problem-solving and engineering leadership. Ability to balance innovation with reliability and maintainability. Technical Skills Python and modern software engineering practices. PyTorch, TensorFlow or equivalent machine learning frameworks. LLM APIs and open-source language models. LangChain, LlamaIndex or equivalent orchestration frameworks. Vector databases and semantic search. REST APIs, microservices and distributed systems. Docker, Kubernetes and cloud-native deployment. CI/CD, automated testing and MLOps/LLMOps. Model monitoring, evaluation and AI safety guardrails. AWS, Azure or Google Cloud AI services. Reporting / Team Relationships Works closely with: CTO / VP of Engineering AI Architect and Enterprise Architects AI and Machine Learning Teams Data Engineering Teams Product Management Team Cloud, DevOps and Security Teams What the Role Offers This is a senior technical leadership opportunity for an AI engineering professional who wants to shape the future of Generative AI, intelligent applications and advanced AI solutions. The successful candidate will play an important role in transforming AI concepts into scalable, production-ready applications, developing advanced AI capabilities and establishing engineering practices that improve performance, reliability and business value. The role offers an opportunity to influence technical direction, mentor engineering teams and contribute to the development of innovative AI-driven products.

Role Overview Our client is seeking an experienced Integration Manager to lead enterprise integration strategy, platform engineering, delivery and operational management across complex technology environments. The role involves managing integration platforms, API ecosystems, messaging middleware, application connectivity and secure data exchange across on-premises and cloud environments. The successful candidate will work closely with enterprise architecture, application development, infrastructure, cybersecurity and business teams to ensure reliable, scalable and secure integration services. The ideal candidate will bring extensive experience in enterprise integration technologies, middleware platforms, API management, cloud integration and team leadership, along with a strong understanding of service management, vendor management and operational excellence. Key Roles & Responsibilities Define and execute the enterprise integration strategy and technology roadmap. Lead integration architecture, platform engineering and service delivery. Manage enterprise middleware, messaging platforms, APIs and file transfer solutions. Oversee integration design, development, testing, deployment and production support. Drive cloud integration and middleware modernisation initiatives. Establish standards for API design, messaging, security and integration patterns. Ensure high availability, scalability, performance and resilience of integration platforms. Manage incident, problem, change and service request processes. Drive disaster recovery exercises, business continuity and platform resilience. Establish monitoring, alerting, automation and operational reporting. Manage vendors, licensing, platform upgrades and technology costs. Coordinate with application, cloud, security and infrastructure teams. Lead, mentor and develop integration engineering and operations teams. Drive continuous improvement, service quality and adherence to SLAs. Identify opportunities to simplify integration architecture and improve operational efficiency. Preferred Qualifications Bachelor's or master's degree in Computer Science, IT or Engineering. 12–18+ years of experience in enterprise integration, middleware or integration platform management. Demonstrated experience leading integration engineering or operations teams. Strong experience with enterprise messaging, API management and integration architecture. Experience managing business-critical platforms across cloud and on-premises environments. ITIL, PMP, cloud or relevant integration certifications preferred. Key Skills & Attributes Enterprise integration architecture and strategy. Middleware and API platform management. Messaging and event-driven architecture. Cloud integration and platform modernisation. Service management and operational governance. Incident, problem and change management. Disaster recovery, high availability and resilience. Vendor management, budgeting and cost optimisation. Team leadership and stakeholder management. Technical Skills IBM MQ, IBM App Connect, IBM ACE or equivalent integration platforms. IBM Integration Bus (IIB) and WebSphere Application Server, where applicable. API management and REST/SOAP web services. Event-driven architecture and messaging patterns. Secure file transfer technologies such as IBM Aspera, AWS Transfer Family or equivalent. AWS, Microsoft Azure or Google Cloud integration services. Linux, Windows Server and networking fundamentals. CI/CD, GitHub Actions, Jenkins and infrastructure automation. Monitoring and observability tools such as Splunk, CloudWatch or equivalent. Security controls, certificates, encryption and identity management. Reporting / Team Relationships Works closely with: CTO / Head of Technology Enterprise Architecture Team Application Development Teams Cloud Infrastructure and DevOps Teams Cybersecurity Team Business Application Owners Vendor and Service Management Teams What the Role Offers This is a strategic leadership opportunity for an integration professional who wants to shape the future of enterprise integration, middleware modernisation and connected technology platforms. The successful candidate will play an important role in developing integrated solutions across applications, APIs, messaging and cloud platforms, while improving service reliability, security and operational efficiency. The role offers an opportunity to influence integration strategy, lead technical teams and contribute to the growth of a technology-driven organisation.

Role Overview Our client is looking for an experienced Data Analytics Product Owner to drive the strategy, development and delivery of data analytics products, enterprise reporting platforms and business intelligence solutions. The role involves translating business requirements into product roadmaps, prioritizing data initiatives, managing product backlogs and ensuring that analytics solutions deliver measurable business value. The successful candidate will work closely with business stakeholders, data engineers, analytics teams and technology leaders to develop scalable, user-friendly and data-driven products. The ideal candidate will combine strong product management capabilities with an understanding of data architecture, analytics platforms, business intelligence and agile delivery methodologies. Key Roles & Responsibilities Define product vision, strategy and roadmap for data analytics and business intelligence solutions. Gather business requirements and translate them into product features and user stories. Manage product backlogs, prioritization and sprint planning. Collaborate with data engineering, data science and BI teams to deliver analytics capabilities. Identify opportunities to improve business performance through data-driven insights. Define product KPIs, adoption metrics and success criteria. Drive the development of dashboards, reports, self-service analytics and data products. Ensure data quality, consistency, governance and appropriate access controls. Coordinate with stakeholders to resolve dependencies and delivery challenges. Manage product releases, user acceptance testing and stakeholder feedback. Support data platform modernization and cloud analytics initiatives. Drive continuous product improvement based on user feedback and business outcomes. Preferred Qualifications Bachelor's or master's degree in a relevant technical or business discipline. 8–12+ years of experience in data analytics, BI, product management or related technology roles. Demonstrated experience as a Product Owner or Product Manager for data-driven solutions. Strong understanding of agile methodologies and product lifecycle management. Experience working with enterprise data platforms and analytics technologies. Key Skills & Attributes Product strategy and roadmap development. Business requirements gathering and stakeholder management. Data analytics and business intelligence. Agile product ownership and backlog management. Data governance and quality management. KPI definition and value measurement. Strong communication and decision-making skills. Technical Skills Power BI, Tableau or equivalent BI platforms. SQL and relational databases. Cloud data platforms such as AWS, Azure or Google Cloud. Data warehouses, data lakes and modern data architectures. ETL/ELT pipelines and data integration concepts. Jira and Confluence. Agile, Scrum and product management frameworks. Exposure to AI-enabled analytics and predictive insights. Reporting / Team Relationships Works closely with: Chief Data Officer / Head of Data Business Unit Leaders Data Engineering Teams Data Science Teams BI and Analytics Teams Enterprise Architecture and IT Leadership What the Role Offers This is a strategic product leadership opportunity for a professional who wants to shape the future of data analytics, business intelligence and data-driven decision-making. The successful candidate will play an important role in developing data-driven products, connecting business requirements with analytics capabilities and delivering actionable insights that improve business performance. The role offers an opportunity to influence product strategy, drive cross-functional collaboration and contribute to the growth of a data-driven organisation.

IT Support Mitarbeiter / Onsite IT Support (m/w/d), Nordwestdeutschland Standort: Nordwestdeutschland – Betreuung mehrerer Kundenstandorte und Büros Vollzeit Antal International sucht im Auftrag eines IT-Outsourcing- und Managed-Services-Unternehmens einen IT Support Mitarbeiter (m/w/d) zur Betreuung eines Kunden aus der Finanzdienstleistungsbranche. In dieser praxisorientierten Position unterstützen Sie die Mitarbeitenden vor Ort bei IT-Fragen, beheben alltägliche Hardwareprobleme und sorgen für einen reibungslosen Betrieb der Arbeitsplatztechnik. Sie betreuen zwei bis drei Bürostandorte in der Schweiz und arbeiten eng mit zentralen Supportteams zusammen. Ihre Aufgaben Persönliche Unterstützung der Anwender bei alltäglichen IT-Problemen vor Ort. Analyse einfacher Hardwarefehler sowie Austausch von Notebooks, PCs, Monitoren und weiteren Endgeräten. Einrichtung und Umbau von IT-Arbeitsplätzen sowie Unterstützung bei internen Umzügen. Betreuung von Druckern, Headsets, Telefoniezubehör und anderen Peripheriegeräten. Unterstützung bei der Nutzung von Besprechungsraum- und Videokonferenztechnik. Organisation der Ausgabe, Rücknahme und lokalen Bereitstellung von IT-Geräten. Pflege von Gerätebeständen und Dokumentation der durchgeführten Arbeiten. Durchführung einfacher Arbeiten an der lokalen IT-Infrastruktur nach Anleitung zentraler Spezialisten („Smart Hands“). Bearbeitung und Dokumentation von Störungen und Serviceanfragen im Ticketsystem sowie Weiterleitung komplexerer Probleme. Einhaltung der Sicherheits-, Vertraulichkeits- und Gerätehandhabungsvorgaben des Kunden. Regelmässige Reisen zwischen den betreuten Bürostandorten und Abstimmung der Vor-Ort-Einsätze. Ihr Profil Erste oder mehrjährige praktische Erfahrung im Onsite Support, Desktop Support, IT-Service-Desk oder einer vergleichbaren Tätigkeit. Kenntnisse im Umgang mit Windows-Endgeräten, Microsoft 365 und gängiger Arbeitsplatzhardware. Fähigkeit, alltägliche technische Probleme selbstständig zu lösen und bei Bedarf gezielt an Spezialisten weiterzugeben. Ausgeprägte Serviceorientierung, verständliche Kommunikation und ein professionelles Auftreten. Zuverlässige, strukturierte Arbeitsweise und Organisationstalent bei der Betreuung mehrerer Standorte. Gute Deutsch- und Englischkenntnisse; Französischkenntnisse sind von Vorteil. Bereitschaft zu regelmässigen Dienstreisen innerhalb der Schweiz. Eine IT-Ausbildung ist von Vorteil; Bewerber mit entsprechender praktischer Erfahrung sind ebenfalls willkommen. Ein Hochschul- oder Ingenieurabschluss ist nicht erforderlich. Erfahrung bei einem IT-Dienstleister oder in der Betreuung von Kunden aus der Finanzdienstleistungsbranche ist von Vorteil. Ihre Perspektive Sie übernehmen eine abwechslungsreiche, anwendernahe Aufgabe bei einem IT- Dienstleistungsunternehmen. Die Position verbindet praktische technische Tätigkeiten mit persönlichem Kundenkontakt und der eigenständigen Betreuung mehrerer Bürostandorte. Interesse? Bitte senden Sie Ihren Lebenslauf unter Angabe Ihrer Gehaltsvorstellung und Verfügbarkeit an Edward Moore an [email protected] bei Antal International. Ihre Bewerbung wird selbstverständlich vertraulich behandelt.

IT Support Mitarbeiter / Onsite IT Support (m/w/d) Standort: Schweiz – Betreuung von zwei bis drei Bürostandorten zwischen Zurich und Lausanne Vollzeit Antal International sucht im Auftrag eines IT-Outsourcing- und Managed-Services-Unternehmens einen IT Support Mitarbeiter (m/w/d) zur Betreuung eines Kunden aus der Finanzdienstleistungsbranche. In dieser praxisorientierten Position unterstützen Sie die Mitarbeitenden vor Ort bei IT-Fragen, beheben alltägliche Hardwareprobleme und sorgen für einen reibungslosen Betrieb der Arbeitsplatztechnik. Sie betreuen zwei bis drei Bürostandorte in der Schweiz und arbeiten eng mit zentralen Supportteams zusammen. Ihre Aufgaben Persönliche Unterstützung der Anwender bei alltäglichen IT-Problemen vor Ort. Analyse einfacher Hardwarefehler sowie Austausch von Notebooks, PCs, Monitoren und weiteren Endgeräten. Einrichtung und Umbau von IT-Arbeitsplätzen sowie Unterstützung bei internen Umzügen. Betreuung von Druckern, Headsets, Telefoniezubehör und anderen Peripheriegeräten. Unterstützung bei der Nutzung von Besprechungsraum- und Videokonferenztechnik. Organisation der Ausgabe, Rücknahme und lokalen Bereitstellung von IT-Geräten. Pflege von Gerätebeständen und Dokumentation der durchgeführten Arbeiten. Durchführung einfacher Arbeiten an der lokalen IT-Infrastruktur nach Anleitung zentraler Spezialisten („Smart Hands“). Bearbeitung und Dokumentation von Störungen und Serviceanfragen im Ticketsystem sowie Weiterleitung komplexerer Probleme. Einhaltung der Sicherheits-, Vertraulichkeits- und Gerätehandhabungsvorgaben des Kunden. Regelmässige Reisen zwischen den betreuten Bürostandorten und Abstimmung der Vor-Ort-Einsätze. Ihr Profil Erste oder mehrjährige praktische Erfahrung im Onsite Support, Desktop Support, IT-Service-Desk oder einer vergleichbaren Tätigkeit. Kenntnisse im Umgang mit Windows-Endgeräten, Microsoft 365 und gängiger Arbeitsplatzhardware. Fähigkeit, alltägliche technische Probleme selbstständig zu lösen und bei Bedarf gezielt an Spezialisten weiterzugeben. Ausgeprägte Serviceorientierung, verständliche Kommunikation und ein professionelles Auftreten. Zuverlässige, strukturierte Arbeitsweise und Organisationstalent bei der Betreuung mehrerer Standorte. Gute Deutsch- und Englischkenntnisse; Französischkenntnisse sind von Vorteil. Bereitschaft zu regelmässigen Dienstreisen innerhalb der Schweiz. Eine IT-Ausbildung ist von Vorteil; Bewerber mit entsprechender praktischer Erfahrung sind ebenfalls willkommen. Ein Hochschul- oder Ingenieurabschluss ist nicht erforderlich. Erfahrung bei einem IT-Dienstleister oder in der Betreuung von Kunden aus der Finanzdienstleistungsbranche ist von Vorteil. Ihre Perspektive Sie übernehmen eine abwechslungsreiche, anwendernahe Aufgabe bei einem IT- Dienstleistungsunternehmen. Die Position verbindet praktische technische Tätigkeiten mit persönlichem Kundenkontakt und der eigenständigen Betreuung mehrerer Bürostandorte. Interesse? Bitte senden Sie Ihren Lebenslauf unter Angabe Ihrer Gehaltsvorstellung und Verfügbarkeit an Edward Moore an [email protected] bei Antal International. Ihre Bewerbung wird selbstverständlich vertraulich behandelt.

AI Engineer (Agentic Systems, Deployment & Infrastructure Sizing)Job Description (JD)Role SummaryWe are looking for a specialized AI Engineer with deep expertise in architecting, building, and deployingautonomous AI Agents alongside a strong command of the underlying hardware and software infrastructurerequired to run them efficiently. Unlike purely API-bound developers, you will be responsible for the full stack:designing multi-agent workflows, implementing RAG (Retrieval-Augmented Generation) and tool-use pipelines,and sizing/optimizing the compute infrastructure (GPUs, VRAM, local/on-premise servers, and cloud instances) tobalance latency, accuracy, and operational cost.Key Responsibilities● AI Agent Development: Design, build, and orchestrate autonomous single- and multi-agent systems capableof complex reasoning, planning, memory management, and external tool/API execution (using frameworkslike LangGraph, CrewAI, AutoGen, LlamaIndex, or custom orchestrators).● Hardware Sizing & Infrastructure Architecture: Evaluate, specify, and procure/provision hardwarestacks for local, edge, or data-center AI workloads. Calculate exact GPU compute, VRAM bandwidth, CPU,RAM,storage IOPS, and thermal/power requirements for running open-weight LLMs, vision models, andembedding pipelines.● Model Deployment & Serving Optimization: Deploy and serve open-source and proprietary models usinghigh-throughput inference engines (vLLM, TensorRT-LLM, TGI, Triton Inference Server, Ollama). Applyquantization (AWQ, GPTQ, GGUF, FP8) to maximize throughput on target hardware.● RAG & Enterprise Integration: Build production-grade vector search pipelines (Milvus, Qdrant, pgvector)and securely connect AI agents to internal databases, ERPs, document management systems, andIoT/operational data streams.● Software Stack & MLOps: Containerize and orchestrate AI services using Docker, Kubernetes, and NVIDIAContainer Toolkit (CUDA/cuDNN stack management). Set up CI/CD pipelines for agent evaluation,observability (LangSmith, Arize Phoenix, Prometheus), and guardrails.● Cost & Performance Benchmarking: Continuously benchmark token generation speeds, Time-To-FirstToken (TTFT), concurrency limits, and cost-per-1k-tokens between self-hosted hardware and commercialcloud APIs.Required Qualifications & Skills● Education: B.Tech/B.E. or M.Tech/M.S. in Computer Science, Artificial Intelligence, Data Science, orequivalent practical experience.● Experience: 3–5+ years in Software/ML Engineering, with at least 1.5–2+ years specifically focused onLLMs, GenAI, and Agentic workflows in production.● Agentic & LLM Stack: Advanced Python proficiency; deep familiarity with agent orchestration frameworks,function calling, Model Context Protocol (MCP), structured outputs, and vector databases.● Infrastructure & Hardware Mastery: Deep understanding of GPU architectures (NVIDIA RTXAda/Blackwell workstation cards, L40S, A100, H100), VRAM calculation for model weights + KV cache +context windows, multi-GPU tensor parallelism, and Linux server administration.● Inference & Optimization: Hands-on experience with vLLM, TensorRT-LLM, ONNX Runtime, modelquantization techniques, and fine-tuning (LoRA/QLoRA).

IoT Engineer (Development & Implementation)Job Description (JD)Role SummaryWe are seeking a hands-on IoT Engineer with end-to-end expertise in designing, developing, and deployingscalable Internet of Things (IoT) solutions. The ideal candidate will bridge the gap between physical hardware(sensors, actuators, edge gateways) and cloud/on-premise data platforms. You will be responsible for taking IoTinitiatives from laboratory prototyping through to ruggedized field implementation across distributed sites.Key Responsibilities● End-to-End Architecture: Design and build full-stack IoT architectures encompassing sensor nodes, edgecomputing gateways, communication networks, and central data ingestion pipelines.● Firmware & Edge Development: Write, test, and optimize embedded code and edge software (C/C++,Python, Embedded Linux) for microcontrollers and industrial gateways.● Protocol & Network Integration: Implement reliable device-to-cloud and device-to-device communicationusing industrial and IoT protocols (MQTT, CoAP, Modbus TCP/RTU, OPC-UA, HTTP/HTTPS, LoRaWAN, BLE,or Cellular/4G/5G).● Field Deployment & Commissioning: Lead on-site installation, sensor calibration, gateway provisioning,and network troubleshooting across operational facilities.● Data Pipeline & Dashboarding: Integrate telemetry streams into time-series databases (InfluxDB,TimescaleDB) and enterprise systems (ERP/SCADA/Cloud IoT cores), building real-time monitoring andalerting dashboards.● Security & Fleet Management: Implement device-level security (TLS/SSL, secure boot, encryptedcredentials) and manage Over-The-Air (OTA) firmware updates for deployed fleets.● Reliability & Maintenance: Diagnose hardware failures, signal dropouts, and power-consumptionbottlenecks in harsh or remote operating environments.Required Qualifications & Skills● Education: B.Tech/B.E. in Electronics & Communication, Electrical, Instrumentation, Computer Science, or arelated engineering field.● Experience: 3–6+ years of demonstrable experience in full-cycle IoT development and field deployment(Industrial IoT/IIoT experience is highly preferred).● Hardware Proficiency: Hands-on experience with MCUs/SoCs (ESP32, STM32, ARM Cortex), Single BoardComputers (Raspberry Pi, NVIDIA Jetson, Industrial Edge PCs), and industrial PLCs/sensors.● Software & Cloud: Proficiency in C/C++ and Python; experience with Docker at the edge, Linuxadministration, and IoT platforms (AWS IoT, Azure IoT, ThingsBoard, or custom self-hosted stacks).● Tooling: Ability to use hardware debugging tools (oscilloscopes, multimeters, logic analyzers) andschematic/PCB review tools.

Software Developer Job Role & Responsibilities Design, develop, and maintain advanced software solutions using .NET and Python, integrating and optimizing Language Model frameworks for various applications. Apply Object-Oriented Principles, algorithms, and debugging techniques to ensure robust and scalable code solutions. Utilize version control systems (e.g., Git) proficiently to manage source code and collaborate effectively within a team environment. Implement Coding Design Patterns and adhere to SOLID Principles to promote code maintainability, scalability, and reusability. Develop and execute comprehensive unit tests using frameworks like pytest, unittest, and NUnit to validate functionality and performance. Lead and contribute to Agile practices, including sprint planning, daily stand-ups, and retrospectives, ensuring timely delivery of high-quality software. Collaborate closely with stakeholders including product managers, data scientists, and UX/UI designers to understand requirements and translate them into technical solutions. Provide technical leadership in software design and architecture, ensuring adherence to best practices and scalability. Stay updated with the latest advancements in Language Model frameworks and contribute to their integration and enhancement within our software ecosystem. Collaborate with cross-functional teams including product managers, designers, and developers to deliver high-quality software solutions. Specific Expertise Required Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 5 - 8 years of professional experience in software development with a strong emphasis on C#.NET and Python. Proficiency in LLM frameworks such as LangChain. Solid understanding of RAG, fine-tuning techniques, and building AI agents. Working knowledge of foundation models like Claude/OpenAI and Vector store. Excellent communication skills and ability to manage stakeholders, ensuring alignment of technical solutions with business goals. Strong analytical and problem-solving skills with attention to detail in software design and architecture. Previous experience mentoring junior engineers and guiding technical decisions. Very good at Vibe coding and rapid development. Technical / Functional Skills Proficient in .NET and Python. Experience with version control systems (e.g., Git). Familiarity with Agile methodologies. Knowledge of unit testing frameworks (pytest, unittest, NUnit). Understanding of Coding Design Patterns and SOLID Principles.

Conversational AI Specialist Job Role & Responsibilities Experience with Five9 Intelligent Virtual Agent (IVA), including: Conversational flow design Deployment Testing Ongoing optimization Support or integrate conversational AI platforms such as: Sierra.ai SoundHound Amelia Google CCAI Amazon Lex Microsoft Copilot Studio Similar enterprise AI solutions Understand conversational AI concepts including: Natural Language Understanding (NLU) Natural Language Processing (NLP) Intent recognition Entity extraction Dialogue management Integrate conversational AI platforms with Five9 using: APIs Webhooks Voice routing Knowledge of AI-assisted call routing, virtual agents, and: Intelligent escalation to live agents Context transfer between AI and Five9 Troubleshoot AI conversations, voice automation, and: Speech recognition AI-driven customer experiences Familiarity with: REST APIs JSON Webhooks Enterprise integration patterns Experience with speech analytics, AI transcription, Agent Assist, and: AI performance optimization (preferred) Support and maintain Five9 IVA and conversational AI applications. Assist with AI conversation design, testing, deployment, and production support. Troubleshoot AI call flows, integrations, voice automation, and customer experience issues. Participate in AI enhancement projects and optimize conversational experiences through testing and analytics. Specific Expertise Required Strong analytical skills Documentation skills Communication skills Problem-solving skills Technical / Functional Skills Conversational AI platforms Five9 IVA APIs and webhooks Speech analytics AI-driven customer experiences