- Develop and implement GenAI applications, chatbots, and enterprise AI assistants.
- Build and optimize RAG pipelines including:
- Data ingestion (PDFs, docs, structured data) • Chunking, embeddings, indexing, and retrieval • Implement prompt engineering strategies and prompt workflows.
- Develop APIs and microservices using FastAPI or Flask.
- Integrate LLMs with:
- SQL/NoSQL databases • Enterprise knowledge bases • Vector databases • Implement Text-to-SQL, conversational search, and semantic querying solutions.
- Fine-tune and prompt-tune LLMs where required.
- Write clean, scalable, and secure Python code.
- Perform unit testing, debugging, and performance tuning.
- Participate in code reviews and CI/CD pipelines.
- Support production deployments and post-deployment monitoring.
Required Skills &
Experience
- 15+ years in software development with solid Python expertise.
- Hands-on experience with:
- LangChain or similar frameworks • Vector databases and embeddings • REST APIs and microservices • Working knowledge of HTML/CSS/React for basic UI integration.
- Strong SQL skills and data processing with Pandas/NumPy.
- Familiarity with Docker and cloud environments (AWS/Azure/GCP) is a plus.
Additional Qualifications
- Bachelor’s or Master’s degree in Computer Science / AI / related.
- 8+ years in software development with at least 3+ years building AI/ML applications.
- Expert Python skills, including frameworks such as TensorFlow, PyTorch, transformers libraries.
- Strong experience with REST APIs and microservices (Flask/FastAPI).
- Proficiency with vector databases and embedding-based search systems.
📌 Digital & GenAI Analyst - Consulting (India)
🏢 Hexaware
📍 India
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