Lead / Senior GenAI Engineer – AI & Data Team

Experience

5 – 15 Years

Employment Type

Full-Time

Location

India (Remote/Hybrid as per business requirements)

About the Role

We are seeking highly skilled and innovative Generative AI professionals to join our AI & Data team. This role offers an opportunity to design, develop, and deploy enterprise-scale AI solutions that drive meaningful business outcomes for global organizations.

The ideal candidate will have extensive experience in building production-grade Generative AI applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Agentic AI frameworks, and modern AI/ML technologies. You will work closely with cross-functional teams to solve complex business challenges and deliver scalable, high-impact AI solutions.

Key Responsibilities

Generative AI Solution Development

• Design, develop, and deploy enterprise-grade Generative AI applications.

• Build intelligent solutions using LLMs, RAG architectures, AI Agents, and multi-agent systems.

• Develop and optimize prompt engineering strategies for accuracy, performance, and reliability.

• Implement agentic workflows using modern AI frameworks and orchestration tools.

• Evaluate, fine-tune, and optimize foundation models for business-specific use cases.

AI Engineering & Architecture

• Design scalable AI architectures capable of supporting production workloads.

• Build robust APIs, microservices, and AI pipelines for enterprise deployment.

• Develop monitoring, evaluation, and governance mechanisms for AI applications.

• Ensure security, scalability, reliability, and responsible AI practices across deployments.

Data Science & Machine Learning

• Develop advanced machine learning and deep learning solutions where applicable.

• Build and optimize data pipelines supporting AI and analytics initiatives.

• Apply statistical and machine learning techniques to solve complex business challenges.

• Collaborate with data engineering teams to ensure high-quality data availability.

Cloud & MLOps

• Deploy and manage AI solutions on Azure, AWS, or Google Cloud Platform.

• Implement CI/CD pipelines and MLOps best practices for AI model lifecycle management.

• Leverage containerization technologies such as Docker and orchestration platforms like Kubernetes.

• Optimize infrastructure costs and performance for AI workloads.

Stakeholder Collaboration

• Partner with business stakeholders to understand requirements and translate them into AI solutions.

• Present technical concepts and solution recommendations to leadership teams.

• Mentor junior team members and contribute to AI best practices and knowledge sharing.

Required Qualifications

Experience

• 5–15 years of experience in AI/ML, Data Science, Software Engineering, or related domains.

• Demonstrated experience building and deploying production-grade Generative AI solutions.

• Proven track record of delivering measurable business impact through AI initiatives.

Technical Skills

Generative AI & LLMs

• Strong hands-on experience with:

  • Large Language Models (OpenAI, Claude, Llama, Gemini, Mistral, etc.)

  • Retrieval-Augmented Generation (RAG)

  • AI Agents and Multi-Agent Systems

  • Prompt Engineering

  • Agentic AI Frameworks

  • Model Evaluation and Optimization

AI Frameworks & Libraries

• Expertise in:

  • LangChain

  • LangGraph

  • LlamaIndex

  • CrewAI

  • AutoGen

  • Semantic Kernel

  • Hugging Face Ecosystem

Programming

• Advanced proficiency in Python.

• Strong software engineering fundamentals.

• Experience with REST APIs, FastAPI, Flask, or similar frameworks.

Cloud Platforms

• Hands-on experience with at least one of:

  • Microsoft Azure

  • Amazon Web Services (AWS)

  • Google Cloud Platform (GCP)

Databases & Vector Stores

• Experience with:

  • Pinecone

  • Weaviate

  • ChromaDB

  • FAISS

  • Elasticsearch/OpenSearch

  • SQL and NoSQL databases

DevOps & MLOps

• Docker

• Kubernetes

• Git

• CI/CD Pipelines

• Model Monitoring & Governance

Preferred Qualifications

• Experience in Life Sciences, Healthcare, Pharmaceutical, or Commercial Analytics domains.

• Exposure to enterprise AI governance frameworks.

• Experience with Responsible AI, model explainability, and compliance requirements.

• Knowledge of NLP, Knowledge Graphs, and advanced search systems.

• Experience leading AI teams or mentoring engineers.

What Success Looks Like

• Delivering scalable AI applications used by business teams and clients.

• Driving measurable productivity, automation, and decision-making improvements.

• Building reusable AI accelerators and frameworks.

• Establishing best practices for enterprise AI development and deployment.

Why Join Us

• Work on cutting-edge Generative AI and Agentic AI initiatives.

• Solve complex business challenges using state-of-the-art AI technologies.

• Collaborate with highly experienced AI, Data Science, and Engineering professionals.

• Build solutions that create significant business value for global organizations.

• Opportunity to influence the future of enterprise AI adoption at scale.

Notice Period

Immediate joiners or candidates with a short notice period will be preferred.

You can add the following hashtags at the end of the JD or LinkedIn post:

#Hiring #GenAI #GenerativeAI #ArtificialIntelligence #AIJobs #LLM #LargeLanguageModels #AgenticAI #AIAgents #RAG #PromptEngineering #MachineLearning #DataScience #MLOps #PythonDeveloper #LangChain #LangGraph #LlamaIndex #AzureAI #AWSAI #GCP #AIEngineering #DataEngineering #PharmaAnalytics #LifeSciences #HealthcareAI #DigitalTransformation #TechHiring #HiringNow #CareerOpportunity