Artificial intelligence is moving incredibly fast, but there is still a massive gap between flashy demos and reliable, production-grade systems. Clueso is currently hiring to bridge that gap. Based in Bengaluru, this full-time, on-site opportunity is built for engineers who want to create the next generation of AI copilots that operate inside real product workflows. If you have spent significant time working with modern AI systems and want to ship features that actual users rely on every single day, this role is worth your attention.
Why This Opportunity Matters
Joining Clueso means stepping away from pure research and moving into an environment deeply tied to shipping products. You will not be following established playbooks; instead, you will help decide exactly what to build and how to build it.
Backed by Y Combinator and boasting top-tier product ratings, Clueso offers a fast-moving culture where you can own a core product area with direct founder collaboration. The engineering problems here are hard and meaningful, requiring systems that scale cleanly rather than simple CRUD work. You will be surrounded by a tight-knit team of engineers who care deeply about depth, speed, and technical craft.
What You’ll Work On
In this role, your core focus will be turning fast-moving LLM and vLLM capabilities into stable applications. You will design agent architectures that seamlessly combine AI models with deterministic systems. A major part of your day-to-day will involve translating fuzzy user intent into structured, reliable actions that assist users directly inside their workflows.
You will also be responsible for evaluating new models as they ship, which means you must be willing to rethink and rebuild your pipelines when technical capabilities change. Instead of optimizing for static benchmarks, you will debug and improve AI systems based on real user behavior. Working closely with product and engineering teams, you will ship complex AI features end-to-end, ensuring they work flawlessly at scale.
Skills and Requirements
Clueso is looking for exceptionally sharp and curious problem solvers with strong software engineering fundamentals. You must write clean, debuggable code and have at least two years of experience working with modern AI systems, LLMs, or applied machine learning. Prior experience operating LLMs or vLLMs in non-trivial systems is absolutely essential.
You must be comfortable operating in ambiguous problem spaces with incomplete information, and you need the ability to make smart tradeoffs between AI-driven and deterministic approaches. While not strictly required, experience building AI agents, copilots, or workflow automation tools will make your application stand out. Familiarity with the evaluation, reliability, and failure modes of LLM systems, as well as experience with multimodal models—including text, vision, audio, and video—are highly preferred. Clueso does not care where you learned your skills, as long as you have gone deep into the technology.
Quick Job Details
- Role: Applied AI Engineer
- Company: Clueso
- Location: Bengaluru (On-site)
- Experience: 2+ years
- Posting Date: Jul 14, 2026
- Application Deadline: —
- Eligibility: —
- Key Skills: LLMs, vLLMs, AI Agent Architecture, Machine Learning, Applied AI, Software Engineering, Multimodal Models
- Employment Type: Full Time
- Work Mode: On-site
Apply
Apply through the official link here: Applied AI Engineer
Career Advice
To stand out for this role, your resume should highlight production-level engineering over pure research or academic Jupyter notebook projects. Be prepared to discuss how you have handled the unpredictability of LLMs in your past work.
During interviews, expect deep technical discussions about system architecture and how you evaluate new models. Focus on demonstrating your ability to reason through the tradeoffs between using a generative AI model versus writing deterministic code. If you have built AI agents or workflow tools before, ensure you can explain how you managed failure modes, handled edge cases, and improved reliability based on actual user data.
Conclusion
The Clueso Applied AI Engineer jobs in Bengaluru offer a rare chance to work on the cutting edge of production AI. If you are a hands-on builder who wants to create AI systems that actually work in production, check the requirements and apply. You will be joining a team that moves fast and tackles meaningful problems at scale.
If the Apply button above doesn’t work, you can also use the official application link below: https://www.clueso.io/careers/applied-ai-engineer