AI Engineer Data science & Gen AI

2 - 3 years

4 - 5 Lacs

Posted:3 days ago| Platform: Naukri logo

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Job Description

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About the Role
We are looking for a highly motivated AI Engineer with strong foundations in Data Science and hands-on experience in Generative AI and Agentic AI systems. This role is ideal for someone who enjoys both building intelligent models and engineering robust, scalable solutions for production. You will be instrumental in building next-generation AI applications leveraging LLMs, multi-agent workflows, and orchestration frameworks to automate complex tasks across domains like document understanding, workflow intelligence, and customer support.
Key Responsibilities
Design and build GenAI-powered applications using LLMs (e.g., GPT, Claude, LLaMA, Mistral) for use cases like summarization, Q&A, document parsing, and chatbots.
Build and orchestrate agentic workflows using frameworks like LangChain, LangGraph, Semantic Kernel, autogen etc.
Implement retrieval-augmented generation (RAG) pipelines using vector stores and embedding models.
Translate business problems into AI workflows involving multi-agent planning, decision-making, and task execution.
Collaborating closely with clients to prototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale.
Deploy and maintain production-grade AI solutions using MLOps practices, including model monitoring, versioning, and CI/CD pipelines.
Develop scalable, modular APIs and microservices around AI capabilities.
Collaborate closely with data scientists, ML engineers, and product teams to iterate and refine models.
Must-Have Skills & Experience
2 + years of experience in Data Science, Applied AI, or AI Engineering roles.
Hands-on experience working with LLMs and GenAI models via APIs or fine-tuning (OpenAI, Azure OpenAI, Hugging Face, etc.).
Experience building and deploying agent-based AI systems using tools like LangGraph, LangChain Agents, or Semantic Kernel Planners.
Strong proficiency in Python and experience with common AI/ML frameworks (PyTorch, transformers, etc.).
2+ years of experience with AWS, GCP or Microsoft Azure,
Experience building microservices with Azure Functions and/or AWS Lambda functions
1+ years experience with MLOps, CI/CD pipeline development, containerization, model deployment in test and production environments
Experience in AI/ML technologies and software engineering,
At least 2+ years of hands-on experience with Python and 1+ years of experience building and maintaining scalable API solution
Nice to have Skills
Familiarity with multi-agent systems, workflow planners, or autonomous agents.
Exposure to LangGraph node/edge orchestration, OpenAI function calling, or tools/plugins.
Experience with structured information extraction from unstructured documents (e.g., invoices, forms).
Understanding of AI safety, guardrails, or trustworthy AI principles.

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