Responsibilities:

• •Develop and maintain backend services using Python and FastAPI.
• •Build and optimize AI-driven pipelines using LangChain, Generative AI, and Agentic AI patterns.
• •Implement and manage vector embeddings, chunking logic, and vector search using Pinecone or Qdrant.
• •Architect scalable RAG (Retrieval-Augmented Generation) systems and hybrid search mechanisms.
• •Integrate and manage LLM APIs such as OpenAI, Anthropic, and others.
• •Develop autonomous agents and multi-step agentic workflows.
• •Build caching layers with Redis to ensure low-latency performance.
• •Design, develop, and optimize serverless architectures using AWS Lambda, versions, aliases, and Step Functions.
• •Set up monitoring, logging, and event tracking using AWS CloudWatch.
• •Manage relational and NoSQL databases including PostgreSQL, MySQL, and Firestore.
• •Build and maintain containerized deployments using Docker.
• •Develop and maintain CI/CD pipelines using GitHub Actions.
• •Work with BM25, ElasticSearch, and hybrid retrieval methods.
• •Apply prompt engineering practices and evaluate LLM output quality.
• •Participate in Agile/Scrum ceremonies using tools like Jira or Nifty.
• •Collaborate with cross-functional teams and take part in architectural decision-making.

Requirements:

• •Strong proficiency in Python and backend development.
• •Hands-on experience with FastAPI for building scalable APIs.
• •Practical experience with LangChain, LLMs, and Agentic AI workflows.
• •Proficiency with vector databases such as Pinecone or Qdrant.
• •Hands-on experience with embeddings, similarity search, and RAG pipelines.
• •Strong understanding of Redis caching and optimization strategies.
• •Proven experience with Docker and containerized development.
• •Strong grasp of serverless architectures and microservice design.
• •Experience with AWS Lambda, versioning, aliases, and Step Functions.
• •Familiarity with CloudWatch monitoring and logging.
• •Solid database experience with PostgreSQL, MySQL, or Firestore.
• •Strong Git/GitHub knowledge for collaboration.
• •Experience building CI/CD pipelines (preferably GitHub Actions).
• •Practical experience integrating and using OpenAI, Anthropic, or similar LLM APIs.
• •Understanding of search/retrieval systems such as BM25, ElasticSearch, and hybrid methods.
• •Strong grounding in prompt engineering techniques and evaluation.
• •Experience working in Agile/Scrum environments.