Gen AI Developer

Role & responsibilities

• Build robust backend systems and APIs using Python.
• Connect applications to LLMs via APIs from providers like OpenAI, Anthropic, or Hugging Face.
• Build Retrieval-Augmented Generation pipelines using vector databases like Pinecone, FAISS, or ChromaDB.
• Design, test, and refine prompts and agent workflows using tools like LangChain or LangGraph.
• Deploy AI solutions on cloud platforms like AWS, Azure, or GCP with proper monitoring.
• Write clean code, fix bugs, and document development processes

Preferred candidate profile

• Must have Advanced proficiency in Python and standard libraries.
• Hands-on experience with LangChain, LlamaIndex, or semantic search workflows.
• Working knowledge of vector stores and SQL/NoSQL databases.
• Experience with Docker, Kubernetes, and cloud environments (AWS/Azure/GCP).
• Minimum of 3 to 5 years of general software development with dedicated hands-on focus on AI/ML integrations