Senior Artificial Intelligence Engineer

TymblHub; Hyderabad; Presencial; INR 4 020 000 - 5 590 000; Tempo integral

Resumo da oferta

Epam Systems in Hyderabad is seeking a Senior AI Engineer to design, build, and scale enterprise GenAI solutions. You will lead development of LLMs, multi-agent systems, and RAG pipelines across cloud and backend integrations.

Ideal candidates have 6+ years in AI, strong Python skills, and hands-on experience with LangChain, LangGraph, and enterprise AI frameworks. This role emphasizes CI/CD, governance, and collaboration for secure, scalable AI delivery.

Qualificações

• 6+ years of AI/GenAI experience.
• Strong Python programming skills.
• Hands-on with LangChain and LangGraph.
• Experience with enterprise AI frameworks and cloud platforms.

Responsabilidades

• Build & deploy LLMs, GenAI, and multi-agent AI solutions.
• Design and lead multi-agent systems and RAG pipelines.
• Optimize AI models for performance and scalability.
• Integrate AI with cloud platforms, APIs, and back-end systems.
• Drive CI/CD deployments and AI governance practices.

Conhecimentos

Python

LangChain

LangGraph

AgentBricks

AWS Bedrock

Databricks Mosaic AI

Microsoft Foundry

Gemini Enterprise

Snowflake Cortex

Docker

Kubernetes

CI/CD

Data Engineering

Data Science

Descrição da oferta de emprego

# Senior Artificial Intelligence EngineerEpam SystemsPosted on October 6, 2026---Experience6 - 10 yrsSalary (CTC)₹40.2L - ₹55.9LJob LocationHyderabad, IndiaVacancy1DesignationSenior Artificial Intelligence EngineerJob TypeNot specified---## Job Description**Role & responsibilities****Were Hiring: Senior AI Engineer**Looking to work on cutting-edge **GenAI, LLMs, and Agentic AI systems**? This is your chance to build and scale next-gen AI solutions at an enterprise level.**Role:** Senior / Lead AI Engineer**Location:** Pune, Bangalore, Hyderabad , Chennai, Coimbatore **Experience:** 6+ years in AI/GenAI**What Youll Do:*** Build & deploy **LLMs, GenAI, and Agentic AI solutions*** Design and lead **multi-agent systems*** Architect and implement **RAG pipelines*** Optimize AI models for performance and scalability* Integrate AI solutions with **cloud platforms, APIs, and backend systems*** Drive **CI/CD deployments** and AI engineering best practices* Ensure **AI governance, ethics, and AgentOps****Skills Were Looking For:*** Strong **Python** expertise* Experience with **LangChain, LangGraph*** Hands-on with enterprise AI frameworks like **AgentBricks, AWS AgentCore, Microsoft Foundry, Gemini Agent Studio, Snowflake Cortex Agents, Azure AI*** Exposure to **AWS Bedrock, Databricks Mosaic AI, Microsoft Foundry, Gemini Enterprise, Snowflake Cortex*** Familiarity with **Docker, Kubernetes, CI/CD pipelines****Nice to Have:*** Background in **Data Engineering / Data Science*** Experience working on **data-driven projects (2+ years)****Soft Skills Matter:*** Strong communication skills* Ability to collaborate across teams and drive deliveryIf you're passionate about building **scalable AI systems** and shaping the future of enterprise AI, we'd love to connect!