Senior AI Engineer LLM Infrastructure & Tooling

Neuronimbus Software Services

7 - 10 years

12 - 18 Lacs

Gurugram

Posted:-1 days ago| Platform:

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Skills Required

Typescript LLM agent architectures transformer models

Work Mode

Remote

Job Type

Full Time

Job Description

Job Title: Senior AI Engineer LLM Infrastructure & Tooling

Location:

Key Responsibilities:

Build core AI components (frontend & backend) including observability and feedback tools.
Develop and optimize
LLM-powered APIs
, vector search tools, and orchestration workflows.
Monitor performance, reliability, and safety of AI agents and design improvement feedback loops.
Identify gaps in tooling and standardize best practices for deploying and maintaining AI services.
Collaborate with product, infrastructure, and data teams to ensure reusability and scalability of AI solutions.
Stay updated on emerging LLMs, retrieval methods, and modern deployment techniques.

Must-Have Skills:

7+ years of hands-on software development experience, with 5+ years in building cloud-based web applications.
1+ year experience working with
LLMs in production
environments.
Proficient in
TypeScript
or other typed programming languages.
Solid understanding of
transformer models
,
agent architectures
, and
attention mechanisms
.
Experience with
cloud infrastructure
and full-lifecycle AI/ML system deployment.
Strong problem-solving and stakeholder communication skills.

Good to Have:

Experience with
RAG systems
, vector databases, chunking strategies.
Familiarity with
semantic search
and
LLM evaluation frameworks
.
Exposure to
frontend development
, particularly in scalable, modular AI interfaces.
Background in documenting technical trade-offs and performance benchmarks.

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