We’re hiring an Applied AI Engineer to build the next generation of AI copilots inside Clueso. This role is about turning fast-moving LLM and vLLM capabilities into reliable, production-grade systems. You’ll work on agents that understand context, reason over complex inputs, and assist users inside real workflows—not demos, not prototypes.

Company: Clueso

Role: Applied AI Engineer

Location: Bengaluru (On-site)

Experience:

2+ years working with modern AI systems, LLMs, or applied machine learning
Prior experience working with LLMs or vLLMs in non-trivial systems

Key Skills:

LLMs
vLLMs
applied machine learning
AI systems
software engineering

Role Focus: • Building AI copilots that operate inside real product workflows • Designing agent architectures that combine LLMs, vLLMs, and deterministic systems • Translating fuzzy user intent into structured, reliable actions • Evaluating new models as they ship—and rethinking pipelines when capabilities change • Debugging and improving AI systems based on real user behavior, not benchmarks • Working closely with product and engineering to ship AI features end-to-end

Nice to have:

Experience building AI agents, copilots, or workflow automation tools
Familiarity with evaluation, reliability, and failure modes of LLM systems
Experience working with multimodal models (text, vision, audio, video)
Comfort iterating quickly as models and constraints change

Other:

Loved product, proven traction: #1 Product of the Month on Product Hunt, 4.9 rating on G2, and fast-growing adoption across product, marketing, and L&D teams
Hard, meaningful problems: Rich editors, AI-native UX, and systems that need to scale cleanly — not CRUD work
Real ownership: You’ll own a core product area with direct founder collaboration
Tight-knit, top-tier team: Small, highly driven team backed by YC
Catered meals: Lunch and dinner (except Sundays) provided every day
Epic offsites: Our last offsite was in Vietnam — and most of us ranked it the best trip of our lives

Applied AI Engineer

Skills Required

Description

Experience:

Key Skills:

Nice to have:

Other:

Prepare for this role

More LLM jobs