2–5 years of experience in Python development and AI/ML applications.

Hands-on experience with:

AWS Bedrock or Azure OpenAI services

REST APIs / FastAPI / Flask

Strong understanding of LLMs, prompt engineering, and NLP concepts.

Experience with vector databases (FAISS, Pinecone, ChromaDB, etc.).

Knowledge of RAG architectures and embeddings.

Familiarity with LangChain, LlamaIndex, or similar frameworks.

Experience with JSON, APIs, and microservices architecture.

• Primary skills:Technology->Finacle-Core-Payments->Positive Pay Services->Advance,Technology->Geographical Information System->Spatial Databases->SQL Server

Experience with cloud platforms (AWS, Azure) and their AI services.

Knowledge of fine-tuning and model evaluation techniques.

Familiarity with Docker & Kubernetes.

Experience with CI/CD pipelines and MLOps practices.

Exposure to data engineering pipelines.

Understanding of Responsible AI / AI ethics.