Gen AI Engineer

Wissen Infotech; Bengaluru; Hybrid; INR 2,500,000 - 4,500,000; Full time

Job summary

Wissen Infotech in Bengaluru is seeking an experienced Senior Software Developer to deliver enterprise-grade GenAI and Agentic AI solutions. You will design scalable GenAI applications, build RAG pipelines, and orchestrate multi-agent workflows in a production setting.

The role requires strong Python development and hands-on experience with LangGraph and LangChain, plus AWS services and microservices. You will mentor peers and collaborate with cross-functional teams.

Qualifications

• 5+ years in software development with strong GenAI solution delivery experience.
• Strong Python development experience.

Responsibilities

• Build GenAI applications using Python, LangGraph, and LangChain.
• Design and optimize RAG pipelines using embeddings, vector databases, and retrieval techniques.
• Develop multi-agent workflows, tool integrations, and AI orchestration frameworks.
• Deploy scalable AI solutions on AWS (Bedrock, SageMaker, ECS/EKS, Lambda, API Gateway).
• Build FastAPI/Flask microservices and implement secure, production-ready architectures.
• Establish AI evaluation, observability, and monitoring frameworks.
• Implement CI/CD, Infrastructure as Code (Terraform/CDK), and MLOps best practices.
• Ensure security, governance, compliance, and responsible AI standards.
• Mentor team members and collaborate with cross-functional stakeholders.

Skills

Python

LangGraph

LangChain

RAG

Agentic AI

OpenAI/Bedrock/Azure OpenAI

AWS Cloud & Microservices

Tools

FastAPI

Flask

Docker

Terraform

CI/CD

Job description

Job Role:

Gen AI Developer

Experience:

4+Years

Notice Period:

Immediate to 15days.

Location:

Bangalore Only

Job Description

Senior Software Developer - GenAI & Agentic AI

We are seeking an experienced Senior Software Developer to design and deliver enterprise-grade GenAI and Agentic AI solutions.

Key Responsibilities:

• Build GenAI applications using Python, LangGraph, and LangChain.
• Design and optimize RAG pipelines using embeddings, vector databases, and retrieval techniques.
• Develop multi-agent workflows, tool integrations, and AI orchestration frameworks.
• Deploy scalable AI solutions on AWS (Bedrock, SageMaker, ECS/EKS, Lambda, API Gateway).
• Build FastAPI/Flask microservices and implement secure, production-ready architectures.
• Establish AI evaluation, observability, and monitoring frameworks.
• Implement CI/CD, Infrastructure as Code (Terraform/CDK), and MLOps best practices.
• Ensure security, governance, compliance, and responsible AI standards.
• Mentor team members and collaborate with cross-functional stakeholders.

Required Skills:

• Strong Python development experience.
• Hands-on expertise with LangGraph, LangChain, RAG, and Agentic AI frameworks.
• Experience with OpenAI, Anthropic, Azure OpenAI, Bedrock, Llama, or Mistral models.
• AWS cloud services and microservices architecture.
• FastAPI/Flask, Docker, Terraform, CI/CD, and DevOps practices.
• Knowledge of vector databases, AI evaluation, and model governance.

Experience:

5+ years in software development with strong GenAI solution delivery experience.