Software Developer

We are pleased to invite you to participate in our Onsite Hiring Drive for Senior AI Engineer and Lead AI Engineer positions at our Hyderabad office.

Drive Details:

• Date: Sunday, August 26
• Location: EPAM Office
• Employment Type: Full-Time with EPAM
• Work Model: Hybrid

Job description

Total Exp- 5 to 15Yrs

Role- Senior Developer/ Tech Lead

Location- Bangalore, Hyderabad, Chennai, Pune, Gurgaon, Jaipur

We are currently hiring for below skillset-

1- Python AI Developer(Python+GENAI/AGENTICAI)

JD-

• 5+ years of software development experience with strong proficiency in Python.
• Hands-on experience with LangGraph, LangChain, CrewAI, AutoGen, or similar agentic AI frameworks.
• Strong understanding of LLMs, prompt engineering, tool calling, memory, and multi-agent orchestration.
• Experience building RAG applications using vector databases such as Pinecone, Chroma, Weaviate, or Qdrant.
• Hands-on experience with FastAPI and REST API development.
• Knowledge of Model Context Protocol (MCP) or similar agent communication frameworks.
• Experience with Git, Docker, CI/CD, and production deployment.
• Strong problem-solving and debugging skills.

Good to Have

Experience with one or more cloud AI platforms:

• Google Cloud: Vertex AI, Gemini, Google ADK
• Microsoft Azure: Azure OpenAI, Azure AI Foundry, Azure AI Search

AWS: Amazon Bedrock, Bedrock Agents, AgentCore

2- Python Fullstack Developer(Python+React/Angular)

JD-

Required Technical Experience

Backend Development (5+ years) Mandatory

• Python backend development
• Flask framework for API development
• Pandas for data manipulation and analysis

Frontend Development Mandatory

• Angular/React framework (TypeScript, component architecture, state management)

Database Technologies Mandatory

• SQL databases (design, query optimization, transactions)
• MongoDB (document modeling, aggregation pipelines, indexing)

Cloud & DevOps Nice to Have

• Good general knowledge of cloud computing concepts
• Familiarity with Microsoft Azure (preferred)
• Understanding of CI/CD pipelines and containerization (Docker)
• SOLID principles and microservices architecture
• DevOps practices (automated testing, monitoring)