Senior GenAI / Agentic AI Engineer

Pitsolutions; India; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Pitsolutions is seeking a Senior GenAI Backend Engineer with 8+ years of backend experience to design and deploy enterprise-grade GenAI and Agentic AI solutions.

You will drive AI platform development, build autonomous AI workflows, and integrate multiple foundation models, while leading backend engineering initiatives and mentoring juniors.

Qualifications

• 8+ years of backend engineering experience in GenAI or enterprise AI.
• Strong experience with scalable AI platforms and LLM integrations.
• Proven ability to design, build and deploy high‑volume, reliable AI‑driven services.

Responsibilities

• Design, develop, and deploy GenAI applications using LLMs.
• Build autonomous AI workflows with LangChain, LangGraph, and related tools.
• Develop scalable RAG solutions using vector stores and knowledge graphs.
• Architect cloud‑native backend systems on AWS, Azure, or GCP.
• Implement observability, security, and high‑performance APIs.
• Lead backend initiatives and mentor junior engineers.

Skills

Python

SQL

NoSQL

FastAPI

Django

LLM integration

Distributed systems

REST APIs

Tools

MongoDB

Redis

Elasticsearch

Docker

GitHub Actions

Terraform

Job description

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.
• Design high‑performance REST APIs and microservices using Python.
• Build distributed backend systems capable of handling high‑volume concurrent workloads.
• 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
• Agent‑to‑Agent (A2A) communication
• Build reusable AI tools, planners, memory systems, and orchestration pipelines.
• 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.
• 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)
• SQL
• NoSQL databases
• FastAPI
• Django
• Flask

AI & LLM Frameworks

• LangChain
• LangGraph
• Semantic Kernel
• DSPy
• OpenAI SDK
• Anthropic Claude APIs

Agentic AI

• Multi‑Agent Systems
• Agentic Orchestration
• Agent‑to‑Agent (A2A) Communication
• AI Planning & Tool Calling
• Prompt Engineering
• Function Calling

RAG Technologies

• Hybrid Search
• Graph RAG
• Semantic Search
• Knowledge Graphs

Databases

• MongoDB
• Redis
• Elasticsearch
• Docker
• GitHub Actions / Azure DevOps / GitLab CI
• Terraform (preferred)

API Development

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

Equal Opportunity Statement

We value diversity and inclusion. As an equal opportunity employer, we welcome applicants from all backgrounds and walks of life.

Security & Confidentiality Statement

This role may involve access to sensitive business information. The selected candidate is expected to follow internal information security policies and maintain strict confidentiality when handling proprietary or confidential data.