aimlroles

Staff AI Software Engineer

Gevernova gevernova.com Open · verified Oct 22, 2026
Bengaluru Full-time Senior AI Engineering

At a glance

Senior AI Engineering role at Gevernova. Bengaluru · full-time.

Pay not stated AI Software Engineer salary

RoleAI Engineering
SenioritySenior
LocationBengaluru
EmploymentFull-time
PostedJul 9, 2026 · 3mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Design and run the AI platform, from its core architecture and infrastructure through production support
  • Build AI agents and MCP servers, connecting language models to products with prompting, memory and context handling
  • Use retrieval and embeddings to make AI experiences relevant to each user
  • Deliver substantial features independently, shape technical decisions and coach engineers and contractors
  • Set prompt and model testing practices, oversee reviews and quality checks, and add observability to AI features

What you bring

  • A degree in computer science, computer engineering or another related technical discipline
  • At least six years using Python, Java or Go, plus front-end work in JavaScript or TypeScript
  • A record of shipping production software that uses LLMs, MCPs or AI services at scale
  • Experience guiding technical teams and external contractors, with cloud and Docker or Kubernetes expertise
  • You can work from the office in Niskayuna, New York

Who this fits

This staff-level role suits a hands-on technical lead who can guide engineers while owning architecture and delivery. You’ll work across product, design, operations and infrastructure teams, and the role requires office work in Niskayuna, New York. Relocation assistance is provided.

From the employer

Job Description Summary

As a Staff AI Engineer, you will lead the architecture, development, and end-to-end lifecycle of our AI platform and the underlying infrastructure that powers it. You will design and deploy AI agents and robust MCP (Model Context Protocol) servers that standardize data connectivity, skills, and tools. You will also own the full stack, from architectural design and clean code implementation to rigorous testing and production support. By balancing high-level system strategy with hands-on technical execution, you will ensure our agentic workflows are scalable, secure, and seamlessly integrated into the enterprise ecosystem.

You will partner with internal teams and external contractors to lead technical reviews, integrations, and delivery execution. You will drive Agile practices, 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
  • Mentor engineers; guide contractors and partners.

Required Qualifications:

  • Bachelor’s degree in computer science, Computer Engineering, or related technical field
  • 6+ 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
  • Demonstrated experience leading technical teams and providing guidance to external contractors or vendors
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (Docker, Kubernetes)
  • Experience with technical oversight, code review processes, and quality assurance methodologies
  • Must be willing to work out of an office located in Niskayuna, NY.

Preferred Qualifications:

  • 10+ years of 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
  • Experience building and scaling AI-powered features for 100k+ users

Additional Information

Relocation Assistance Provided: Yes