Senior AI / LLM Engineer

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Senior AI / LLM Engineer

Full-time

Mohali / Remote

4–8 years experience

Build production LLM systems, RAG pipelines, and agentic workflows that actually ship.

About The Role

We're looking for a Senior AI/LLM Engineer to design and operate intelligent systems in production. You'll work across the full lifecycle - from architecture and evaluation harnesses to deployment and monitoring. This isn't a research role. You'll be building AI systems that run real workflows for real clients, and you'll own the outcome.

What you'll do

• Design and implement production RAG systems, LLM pipelines, and multi-agent workflows
• Build evaluation frameworks to measure accuracy, hallucination rate, and latency before every deployment
• Set up LLMOps infrastructure - logging, monitoring, cost tracking, and model versioning
• Work directly with clients to translate business requirements into AI architectures
• Conduct code reviews, define engineering standards, and mentor junior engineers
• Own end-to-end delivery from architecture to production handover
  
  

What we're looking for

• 4+ years of software engineering experience with 2+ years in production ML or LLM systems
• Strong Python skills and experience with LangChain, LlamaIndex, or similar frameworks
• Hands-on experience with vector databases (Pinecone, Weaviate, Qdrant, pgvector)
• Experience building and evaluating RAG pipelines at production scale
• Familiarity with OpenAI, Anthropic, Cohere, or open-source LLM APIs
• Strong understanding of prompt engineering, context management, and retrieval strategies
• Experience with cloud infrastructure (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes)
  
  

Nice to have

Not required

• Experience with multi-agent frameworks (AutoGen, CrewAI, LangGraph)
• Familiarity with LLMOps tools (Langfuse, Helicone, Phoenix, W&B Weave)
• Prior consulting or client-facing project delivery experience
• Contributions to open-source AI tooling
  
  

What we offer

• Work on real production AI systems used by enterprise clients - not internal demos
• Senior, small team with direct impact on architecture decisions
• Competitive salary with performance-linked bonuses
• Remote-friendly with async-first culture
• Learning budget (courses, conferences, research papers)
• Access to the latest LLM platforms, APIs, and tooling budgets
• Equity participation for exceptional contributors
  
  

Apply for this role

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What to include

• Your CV or LinkedIn profile
• 2–3 lines on why this role fits you
• Link to something you've shipped (GitHub, app, case study)
  
  

Role at a glance

DepartmentEngineering

TypeFull-time

LocationMohali / Remote

Experience4–8 years

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