AI/ML Engineer - Generative AI GenAI

We're Hiring: AI/ML Engineer Generative AI (GenAI)

Company: Jnanasethu IT Labs Private Limited
Job Title: AI/ML Engineer Generative AI (GenAI)
Job Location: Bengaluru, Karnataka
Experience: 610 Years
Employment Type: Full-time
Industry: IT Services & Consulting / Software Development
Department: Engineering – AI/ML & Generative AI

About the Role

Jnanasethu IT Labs Private Limited is looking for an experienced AI/ML Engineer – Generative AI (GenAI) to design, develop, deploy, and optimize scalable, production-ready AI applications.

The ideal candidate will have strong hands-on expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, Python, LangChain, LangGraph, and AWS cloud services.

You will work on developing intelligent AI solutions, building enterprise-grade GenAI applications, implementing agentic workflows, and deploying secure, scalable cloud-native services.

Key Responsibilities

• Design, develop, and deploy Generative AI applications using LLMs and RAG architectures.
• Build and optimize RAG pipelines, including document ingestion, chunking, embeddings, retrieval, and response generation.
• Integrate LLM APIs, including OpenAI and Anthropic Claude, into enterprise applications.
• Implement vector databases, semantic search, and efficient information retrieval solutions.
• Develop AI agents and intelligent workflows using LangChain and LangGraph.
• Implement LLM monitoring, tracing, and observability using Langfuse or similar tools.
• Develop Python-based microservices and REST APIs for AI application integration.
• Deploy and manage applications using AWS Lambda, ECS, Fargate, S3, DynamoDB, and OpenSearch.
• Work with SQL and NoSQL databases for data storage, indexing, querying, and retrieval.
• Monitor and optimize application performance, response latency, reliability, and operational costs.
• Support CI/CD automation, containerization, and infrastructure provisioning.
• Collaborate with cross-functional teams to deliver secure, scalable, production-ready AI solutions.

Required Technical Skills

Generative AI & LLMs

• Hands-on experience developing Generative AI applications.
• Strong understanding of RAG, embeddings, vector search, semantic retrieval, and prompt engineering.
• Experience integrating OpenAI and Anthropic Claude APIs.
• Understanding of LLM evaluation, reliability, and performance optimization.

Python & AI Frameworks

• Strong proficiency in Python programming.
• Hands-on experience with LangChain, LangGraph, and OpenAI SDKs.
• Experience developing REST APIs and integrating external services.

Monitoring & Observability

• Experience with LLM tracing, monitoring, and debugging.
• Familiarity with Langfuse or similar observability platforms.
• Ability to monitor token usage, latency, errors, and application performance.

AWS Cloud & Deployment

• Working knowledge of AWS Lambda, Amazon ECS, AWS Fargate, Amazon S3, Amazon DynamoDB, and Amazon OpenSearch Service.
• Understanding of cloud-native application architecture, deployment, and scalability.

Databases

• Basic to intermediate knowledge of SQL and relational databases.
• Familiarity with NoSQL databases, data modeling, indexing, and querying.

Good to Have

• Experience with CI/CD pipelines using Azure DevOps.
• Basic knowledge of Terraform and Infrastructure as Code (IaC).
• Experience with Docker and containerized application deployments.
• Understanding of cloud security, application monitoring, and production deployment best practices.

Eligibility Criteria

• 6–10 years of relevant experience in software engineering, AI/ML engineering, Python development, or related technical roles.
• Demonstrated hands-on experience building and deploying GenAI applications.
• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or a related discipline, or equivalent practical experience.
• Strong analytical, problem-solving, and debugging skills.
• Ability to translate business requirements into practical AI solutions.
• Comfortable working in a collaborative, agile development environment.

Why Join Jnanasethu IT Labs?

• Work on innovative Generative AI and enterprise AI applications.
• Contribute to the development of intelligent, scalable, cloud-native solutions.
• Collaborate with technology professionals on real-world AI engineering challenges.
• Build expertise in emerging AI technologies, LLMs, and agentic AI systems.

Interested candidates can apply through Naukri with their updated resume highlighting their experience in Generative AI, RAG, Python, LangChain/LangGraph, and AWS.

Join Jnanasethu IT Labs Private Limited and help build the next generation of intelligent AI solutions!