AI Senior Developer

Role & responsibilities

• 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.

Preferred candidate profile

Required Skills & Experience:

• 15+ years in software development with strong 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 Qualification:

• Bachelors or Masters 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.