GEN AI Engineer

AI Developer (Python) Experience 4-8 years’ experience

Skills and attributes for success

• Candidate must possess proficiency in the following technologies:

• Core AI Engineering & LLM Frameworks:
  Python, LangChain, LangGraph, Auto Gen, Google Agent SDK, Model Context Protocol, Skills-based agent frameworks.

• GenAI / Agentic AI Systems:
  LLM application development, agentic AI architectures, multi-agent workflows, prompt engineering, AI system design, tool/function calling, enterprise AI integration.

• RAG, Embeddings & Vector Search:
  Retrieval-Augmented Generation pipelines, embeddings, semantic search, context retrieval strategies, Azure AI Search, Pinecone, FAISS, Redis Vector, pgvector.

• Backend & API Engineering:
  Python, Fast API, REST API design, scalable API platforms, event-driven systems, microservices architecture, third-party system integration.

• Cloud, Infrastructure & Containers:
  Azure OpenAI, Azure AI Services, Docker, Kubernetes, OpenShift, cloud-native application development, containerized deployments.

• Databases & Data Platforms:
  SQL, NoSQL, MongoDB, Redis, ClickHouse, database design, performance optimization, data accuracy and integrity.

• AI Model Engineering:
  Model fine-tuning, LoRA, BERT, LLM architecture understanding, evaluation techniques, AI performance monitoring.

• AI Governance, Security & Responsible AI:
  PII protection, data privacy, AI security, compliance, responsible AI practices, governance controls, monitoring and observability frameworks.