aimlroles

Sr SW engineer- AI/ML

Gevernova gevernova.com Open · verified Oct 22, 2026
Hyderabad TS IN 26 Bengaluru Full-time Senior AI Engineering

At a glance

Senior AI Engineering role at Gevernova. Hyderabad TS IN 26 · full-time.

Pay not stated AI Engineering salary

RoleAI Engineering
SenioritySenior
LocationHyderabad TS IN 26
EmploymentFull-time
PostedSep 1, 2026 · 7w ago
Also hiring inBengaluru
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Design AI platform architecture and make end-to-end technical decisions for multiple initiatives
  • Build reusable AI components, resilient APIs, microservices, RAG features and multimodal LLM capabilities
  • Create agent workflows that carry out tasks autonomously
  • Set standards for AI-assisted development while balancing system reliability, performance and cloud costs
  • Guide engineers, contractors and partners, and work with distributed teams to bring AI into Grid software work

What you bring

  • A computer science, computer engineering or related technical bachelor's degree
  • At least ten years using a general-purpose language such as Python, Java or Go, plus JavaScript or TypeScript front-end work
  • A record of delivering production applications that use LLMs or AI services at scale, including leadership across AI/ML projects
  • Experience guiding technical teams and outside contractors or vendors
  • Hands-on cloud and container experience with platforms such as AWS, GCP or Azure and tools such as Docker or Kubernetes

Who this fits

This role suits a senior engineer who can shape AI architecture, deliver production systems and guide technical teams. You’ll work with globally distributed teams. Relocation assistance is available.

From the employer

Job Description Summary

As a Staff AI Engineer, you’ll lead enterprise full stack and AI platform architecture at scale for multiple initiatives across the company. You’ll design and ship microservices and REST APIs, build RAG and multimodal LLM features, and set standards for AI-assisted development. You’ll make technical decisions end-to-end, balancing reliability, performance, and cloud cost for AI systems.
You will partner with globally distributed teams to engage, intervene and accelerate assimilation of AI into Grid SW services activities that drive tangible outcomes

Job Description

Key Responsibilities:

  • Identify and deliver reusable AI components for forward-deployed engineers.
  • Ship resilient REST APIs and microservices.
  • Build RAG and multimodal LLM features.
  • Design agentic workflows for autonomous tasks.
  • Mentor engineers and provide guidance to contractors and partners.

Required Qualifications:

  • Bachelor’s degree in computer science, Computer Engineering, or a related technical field.
  • 10+ years of experience with 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 or AI services at scale.
  • Demonstrated experience leading technical teams and providing guidance to external contractors or vendors.
  • Demonstrated experience of driving at least 5 projects with strong AI & ML engagement
  • 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.
  • Strong trouble shooting skills
  • Good communication skills and prior experience of working with globally distributed teams ​

Preferred Qualifications:

  • Experience in AI/ML, including architectural design, technical leadership, and system optimization.
  • Having a master's degree or equivalent in AI is a plus.
  • Experience with modern integration frameworks (SOAP, Rest, MuleSoft, ) and advanced state management.
  • Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and embedding model optimization.
  • Experience with multiple LLM providers and advanced AI-orchestration frameworks (e.g. LangChain, LlamaIndex).
  • 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