Lead Python - Gen AI Developer

Job Description

We are seeking a highly skilled Senior GenAI Backend Engineer with 8+ years of backend engineering experience and strong expertise in designing, building, and deploying enterprise-grade Generative AI and Agentic AI solutions.

The ideal candidate should have deep experience in developing scalable AI platforms, autonomous AI agents, Retrieval-Augmented Generation (RAG) systems, LLM integrations, and distributed backend architectures. This role requires hands-on engineering expertise along with technical leadership in designing AI-native enterprise applications.

Requirements

Key Responsibilities

AI Platform Development

• Design, develop, and deploy enterprise-grade GenAI applications using Large Language Models (LLMs).
• Build intelligent AI agents using Agentic AI frameworks and multi-agent orchestration.
• Develop scalable Retrieval-Augmented Generation (RAG) solutions using Vector Databases and Knowledge Graphs.
• Design Graph RAG, Hybrid RAG, and semantic retrieval pipelines.
• Integrate OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or other foundation models into enterprise applications.

Backend Engineering

• Design high-performance REST APIs and microservices using Python.
• Build distributed backend systems capable of handling high-volume concurrent workloads.
• Develop secure multi-tenant architectures.
• Design event-driven systems using asynchronous programming patterns.
• Optimize API performance, scalability, and latency.

AI Agent Development

• Develop autonomous AI workflows using
• LangGraph
• LangChain
• Semantic Kernel
• DSPy
• Model Context Protocol (MCP)
• Agent-to-Agent (A2A) communication
• Build reusable AI tools, planners, memory systems, and orchestration pipelines.

System Architecture

• Define backend architecture for AI-native applications.
• Design scalable cloud-native systems on AWS, Azure, or GCP.
• Implement observability, monitoring, logging, and tracing for AI workloads.
• Design secure APIs with authentication, authorization, and data protection.

Collaboration \& Leadership

• Lead backend engineering initiatives for AI projects.
• Mentor junior developers and AI engineers.
• Collaborate with Product Managers, Architects, Data Scientists, and DevOps teams.
• Participate in architecture reviews and technical decision-making.
• Drive engineering best practices, coding standards, and design reviews.

Required Technical Skills

Programming

• Python (Expert)
• JavaScript / TypeScript
• SQL
• NoSQL databases

Backend Frameworks

• FastAPI
• Django
• Flask

AI \& LLM Frameworks

• LangChain
• LangGraph
• Semantic Kernel
• DSPy
• OpenAI SDK
• Azure OpenAI
• Anthropic Claude APIs
• Google Gemini APIs

Agentic AI

• Multi-Agent Systems
• Agentic Orchestration
• Model Context Protocol (MCP)
• Agent-to-Agent (A2A) Communication
• AI Planning \& Tool Calling
• Prompt Engineering
• Function Calling

RAG Technologies

• Vector Databases (Qdrant, Pinecone, Milvus, Weaviate, ChromaDB)
• Hybrid Search
• Graph RAG
• Semantic Search
• Embedding Models
• Knowledge Graphs

Databases

• PostgreSQL
• MongoDB
• Redis
• Elasticsearch

Cloud \& DevOps

• Docker
• Kubernetes
• GitHub Actions / Azure DevOps / GitLab CI
• Terraform (preferred)
• Azure / AWS / GCP

API Development

• REST APIs
• WebSockets
• Async Programming
• OAuth2 / JWT
• API Gateway

Work Location

In person