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Sr. Software AI Engineer
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Location
In office (Bengaluru)
Seniority
Senior · 4+ years exp
Visa
Sponsors visas in United States, United Kingdom, Ireland; no register of this country names it
Employment
Full-Time
Confirmed on the employer's own hiring board on Nov 8, 2026. First seen by Alion on Nov 2, 2026. GE Vernova scores B on the Alion truth index.
Overview
Company
Impact
Profile match
GE Vernova is an American energy company created in April 2024 when General Electric split into three, taking the power, wind and electrification businesses. It builds and services gas turbines that generate a substantial share of the world's electricity, onshore and offshore wind turbines, grid equipment including transformers and high-voltage transmission, and nuclear technology through GE Hitachi and its BWRX-300 small modular reactor. Headquartered in Cambridge, Massachusetts, the company sits at the centre of two simultaneous demand shocks: the electrification of transport and industry, and the electricity requirements of large-scale artificial intelligence data centres.
Job Description Summary
As a Sr. Software AI Engineer, you will drive the development of our AI Agents and the underlying infrastructure that powers it. You will implement AI agents and robust MCP (Model Context Protocol) servers that standardize data connectivity, skills, and tools. You will be involved from design to code implementation to rigorous testing and production support.You will partner with internal teams and external contractors to lead technical reviews, integrations, and delivery execution. You will deliver using Coding Agents, establish testing approaches for prompts and model performance, and implement observability for AI features. We value autonomy, continuous learning, and clear business impact. If you are excited by this work but unsure whether you meet every requirement, we encourage you to apply.
Job Description
Responsibilities:
- Collaborate with cross-functional teams (product, design, operations, infrastructure) to build AI-native application experiences
- Build AI Agents, MCP Servers, Tools and integrate LLM / generative AI capabilities into products, including structured prompting, memory management and context management.
- Implement retrieval-augmented generation (RAG) patterns (e.g., embeddings + retrieval) and contribute to context-aware and personalized user experiences
- Drive end-to-end execution of medium-to-large features with independence, contribute to technical direction within the team
Required Qualifications:
- Bachelor’s degree in computer science, Computer Engineering, or related technical field
- 4+ years of experience using at least one general purpose programming language (Python [preferred], Java, or Go) and front-end experience with JavaScript/TypeScript
- Proven track record shipping production applications that incorporate LLMs, MCPs or AI services at scale
- Experience with cloud platforms (i.e. AWS) and advanced containerization (Docker, Kubernetes)
Preferred Qualifications:
- Experience in Cloud Software Development, including architecture design, technical leadership, and system optimization
- Experience with Strands, ADK or Agent development frameworks.
- Experience with multiple LLM providers and advanced AI orchestration frameworks (e.g. Amazon Bedrock AgentCore, LangChain)
- Experience with modern front-end frameworks (React, Vue, or Angular) and advanced state management
- Experience with vector databases (e.g. pgvector) and embedding model optimization
- Experience with enterprise RAG architectures, semantic search optimization, and conversation memory management at scale
Additional Information
Relocation Assistance Provided: Yes
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