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Jose AtlinJA
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Jose Atlin

@joseatlin

Senior AI Engineer at Litmus7 shipping agentic SRE automation that cuts incident resolution time by 92%.

India
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What I'm looking for

I'm looking for senior AI Engineering, Agentic AI, or ML Platform roles where systems go to production and the technical depth is real.

At Litmus7 System Consultancy Private Limited, I lead a team of 4 AI engineers building a production Agentic AI platform for enterprise SRE automation. It reads SOPs, plans remediation, and coordinates MCP tools, cutting incident resolution time by about 92%.

I built a multi-agent framework with 15 specialised agents and three execution modes, alongside a hybrid RAG pipeline that achieves over 75% top-1 SOP retrieval across 50+ documents. The platform also uses human-in-the-loop controls and observability through Langfuse and SigNoz.

Previously, I built Litmus7’s internal MLOps platform, adopted by data science teams, and fine-tuned LLaMA and Gemma models for structured retail product output. I’m open to senior AI Engineering, Agentic AI, and ML Platform roles where systems go to production and the technical depth is real.

Experience

Work history, roles, and key accomplishments

Litmus7 System Consultancy Private Limited logoLL
Current

Senior Software Engineer

Apr 2024 - Present (2 years 5 months)

Leading a team of 4 AI engineers to architect and ship a production Agentic AI platform for enterprise SRE automation.

**Agentic AI Platform**
• Cut SRE incident resolution time by ~92% (1 hour → under 5 minutes) — platform reads SOPs, generates LLM-driven remediation plans, and orchestrates 6+ MCP tool calls across 14 enterprise integrations (~58 tools) per resolution, handling ~100 concurrent i

Litmus7 System Consultancy Private Limited logoLL

Backend & Machine Learning Engineer

Sep 2021 - Apr 2024 (2 years 7 months)

Built the company's internal MLOps platform and ML infrastructure, adopted across the full 25-member AI engineering organisation.

**ML Platform & MLOps**
• Architected a sklearn-compatible ML platform (Transformer → Estimator → Pipeline) adopted by 4+ data science teams — YAML-declarative config for hyperparameter experimentation, semantic pipeline versioning, and multi-backend artifact storage (

Education

Degrees, certifications, and relevant coursework

CE

Christ College of Engineering

Bachelor of Technology, Computer Science

2017 - 2021

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