Lead Engineer - AI Engineering

GE Vernova; Bengaluru; On-site; INR 1,800,000 - 2,600,000; Full time

Benefits offered by this job

Relocation assistance provided

Job summary

GE Vernova is building a dedicated team to leverage Generative AI and redefine engagement with our industry in Bangalore. We seek an AI Engineer to create and optimize prompts for LLMs, collaborating with domain experts and end users to develop software solutions addressing internal and external needs.

You will work at the intersection of advanced technology and traditional industry, contributing to automation, reliability, and scalable AI-powered platforms while staying mindful of safety and

Qualifications

• Master's degree with 3+ years of relevant AI/GenAI experience.
• Experience in autonomous agent systems or related AI software engineering roles.
• Ability to work independently in fast-paced, experimental environments.
• Hands-on experience designing GenAI apps with agent orchestration, multi-step reasoning, RAG, and model selection.
• Expertise with LLMs, deep learning models, and ML lifecycle management.
• Willingness to work from a Bangalore office.
• Must be 18 years or older.

Responsibilities

• Design, implement, and optimize AI Agents using LLMs, reinforcement learning, planning algorithms, and decision-making frameworks.
• Develop scalable multi AI Agent architectures supporting long horizon reasoning, autonomy, planning, interaction, and complex task completion.
• Integrate AI Agents with APIs, backend services, databases, and enterprise applications.
• Prototype, deploy, and maintain AI-driven systems ensuring reliability and performance in production environments.
• Optimize agent behavior through continuous feedback, reinforcement learning, and user interaction.
• Collaborate with research, engineering, product, and deployment teams to iterate on agent capabilities.
• Monitor AI Agent performance, conduct evaluations, implement safety guardrails, and ensure ethical AI practices.
• Document AI Agent architectures, design decisions, workflows, and maintain technical docs.
• Stay current with emerging AI technologies and contribute to platform/tooling improvements.

Skills

Python

NLP & GenAI

LLM integration

Reinforcement learning

API integration

Cloud computing

Education

Master's degree in CS/AI/ML or related field

Tools

LangChain

OpenAI APIs

PyTorch

TensorFlow

Docker / Kubernetes

AutogenAI / LangGraph

MCP protocol

Job description

Job Description Summary

GE Vernova is embracing cutting-edge technologies to streamline operations, improve customer experiences, and drive growth. As part of this vision, we are building a dedicated team to leverage Generative AI and redefine how we engage with our industry. The ultimate goal of the team is to automate prompting, develop a framework for prompting across use cases to maximize reuse as well as sharing across businesses.

We are seeking a highly motivated and talented AI Engineer to join our dynamic team. The successful candidate will be responsible for creating and optimizing prompts for LLMs, collaborating with domain experts and end users to develop software solutions that address both internal and external needs. This position offers a great opportunity to work at the intersection of advanced technology and traditional industry, making a tangible impact on our business processes.

As a GE Vernova accelerator, AI Foundry is driving strategy and leading research & development efforts to execute on the business’s mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future.

Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova’s businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.

Job Description

Key Responsibilities:

• Design, implement, and optimize AI Agents using LLMs, reinforcement learning, planning algorithms, and decision‑making frameworks.

• Develop scalable multi AI Agent architectures supporting long horizon reasoning, autonomy, planning, interaction, and complex task completion.

• Integrate AI Agents with APIs, backend services, databases, and enterprise applications.

• Prototype, deploy, and maintain AI‑driven systems ensuring reliability and performance in production environments.

• Optimize agent behavior through continuous feedback, reinforcement learning, and user interaction.

• Collaborate closely with research, engineering, product, and deployment teams to iterate on agent capabilities and innovate continuously.

• Monitor AI Agent performance, conduct rigorous evaluations, implement safety guardrails, and ensure ethical AI practices.

• Document AI Agent architectures, design decisions, workflows, and maintain comprehensive technical documentation.

• Stay current with emerging AI technologies, contribute to platform and tooling improvements, and share knowledge within the team.

• Your mission is to push the boundaries of planning, reasoning, and agentic intelligence. You will design and implement large‑scale AI/ML solutions integrating the latest state of the art research in our global products
  

Core Technical Skills:

• Proficiency in Python and/or languages like JavaScript, TypeScript, Node.js, or Java, Go, with strong coding and software engineering practices.

• Expertise with AI/ML libraries and frameworks such as LangChain, OpenAI APIs, PyTorch, TensorFlow, commercial or open source LLMs.

• Hands‑on experience with LLMs, prompt engineering, and natural language processing (NLP).

• Knowledge of agent orchestration platforms and multi‑agent systems (e.g., AutogenAI, LangGraph, MCP protocol).

• Familiarity with data management, vector databases, semantic retrieval, and real‑time data pipelines.

• Experience deploying AI systems on cloud platforms (AWS, Google Cloud) with container orchestration (Docker, Kubernetes).

• Strong understanding of machine learning model training, fine‑tuning, and evaluation techniques.

• Awareness of AI ethics, data privacy, and secure handling of sensitive information.

Qualifications:

• Masters' degree in Computer Science, AI/ML,Engineering, Mathematics, or related field with 3+ years of relevant experience.

• Thorough experience in AI, GenAI application development & deployment particularly with autonomous agent systems or related AI software engineering roles.

• Demonstrated ability to work independently in fast‑paced, experimental environments.

• Hands‑on experience designing and building GenAI apps that allow users to experience AI use cases supporting features like agent orchestration, multi‑step reasoning, prompt engineering, RAG integration, and model selection

• Expertise with LLMs and deep learning models, machine learning lifecycle management, data generation methods, model training & validation coupled with strong fundamentals and passion in software engineering and system architecture

• Must be willing to work out of an office located in Bangalore

• Must be 18 years or older.

Additional Information

Relocation Assistance Provided: Yes