Gen AI Engineer
Hiring for Gen AI Engineer
About the Role
We are building next-generation AI-powered products that help businesses improve their digital presence and customer engagement in an AI-first world. As a fast-growing technology company, we are solving complex problems at the intersection of Generative AI, scalable systems, and intelligent user experiences.
We’re looking for a Gen AI Engineer to build and scale AI-native products powered by LLMs, retrieval systems, autonomous workflows, and modern AI infrastructure. You’ll work closely with product, backend, frontend, and data teams to design intelligent systems that deliver reliable, high-quality AI experiences for real-world users.
This is an opportunity to work on cutting-edge AI technologies, solve complex engineering problems, and help shape the future of AI-powered software products.
What You’ll Do
Design, develop, and deploy AI-powered applications using Large Language Models (LLMs) and modern AI frameworks
Build intelligent workflows involving prompt engineering, retrieval-augmented generation (RAG), agents, orchestration systems, and evaluation pipelines
Develop scalable backend services and APIs that power AI-driven product experiences
Integrate and optimize LLM providers such as OpenAI, Anthropic, Gemini, or open-source models
Build AI pipelines for data ingestion, embeddings, retrieval, ranking, and context management
Improve latency, reliability, observability, and cost optimization across AI systems
Collaborate with frontend, backend, and product teams to deliver seamless AI experiences
Design and maintain evaluation systems for AI quality, hallucination reduction, and model performance
Experiment rapidly with new AI technologies, frameworks, and tooling
Write technical documentation, architecture notes, and operational runbooks
What We’re Looking For
Gen AI & LLM Expertise
3+ years of software engineering experience with exposure to AI/ML or Generative AI systems
Strong hands-on experience working with LLMs, prompt engineering, RAG pipelines, and AI orchestration frameworks
Familiarity with frameworks such as LangChain, LlamaIndex, DSPy, Semantic Kernel, or similar tools
Experience integrating commercial and/or open-source foundation models into production systems
Understanding of embeddings, vector databases, retrieval systems, and AI evaluation techniques
Engineering & System Design
Strong programming skills in Python, Node.js, or similar backend technologies
Experience building scalable APIs, distributed systems, and cloud-native applications
Familiarity with databases, asynchronous processing, caching, and event-driven architectures
Understanding of observability, monitoring, and debugging for AI-powered systems
AI Product Mindset
Ability to think beyond model outputs and focus on customer experience, reliability, and business outcomes
Strong understanding of AI failure modes, hallucinations, latency trade-offs, and human-in-the-loop workflows
Experience designing AI systems with quality, scalability, security, and cost in mind
Comfortable experimenting quickly and iterating based on product feedback
Infrastructure & Deployment
Experience with cloud platforms such as AWS, GCP, or Azure
Familiarity with Docker, Kubernetes, CI/CD pipelines, and deployment workflows
Experience with vector databases such as Pinecone, Weaviate, Chroma, or FAISS is preferred
Exposure to model serving, inference optimization, and GPU-based workloads is a plus
Engineering Excellence
Passion for writing clean, maintainable, and scalable code
Strong debugging and problem-solving skills across AI and backend systems
High ownership, bias for action, and pragmatic decision-making
Ability to balance experimentation with production reliability
Communication & Collaboration
Strong written and verbal communication skills
Ability to explain complex AI concepts clearly to technical and non-technical stakeholders
Collaborative mindset with the ability to thrive in fast-paced environments
Preferred Qualifications
Experience building AI copilots, AI agents, conversational systems, or autonomous workflows
Familiarity with fine-tuning, evaluation frameworks, and reinforcement learning concepts
Startup or high-growth product company experience is a plus
Contributions to AI open-source projects or research-driven engineering work are preferred
Why Join Us
Opportunity to work on cutting-edge AI-driven products
High ownership and direct impact on AI product direction
Collaborative and fast-moving engineering culture
Work with smart, ambitious, and supportive teammates
Exposure to the latest advancements in Generative AI and LLM ecosystems
Flexible work environment and growth opportunities
Competitive compensation and benefits package
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