AI Engineer
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Key skills for this role
About the Role
Open Innovation AI is hiring an AI Engineer to build applied AI for their agentic platform. Responsibilities include developing LLM-based features, prototyping new techniques, and maintaining production AI workloads.
Key Skills for This Role
Responsibilities
- Write clean, reliable code for agentic and applied AI features
- Get LLM capabilities into production: agents, orchestration flows, RAG, tool use, multi agent setups
- Try new models, techniques, and frameworks; prototype and integrate the good ones
- Build evals, benchmarks, and observability to measure agent performance
- Keep AI workloads running in production: automation, scaling, monitoring
- Work with product and other teams to turn user needs into specs
- Debug, test, and tune the core product for performance and correctness
- Review code and help junior engineers level up
- Keep an eye on new research and flag what's worth the team's attention
Requirements
- Degree in CS or engineering, or equivalent experience
- Strong Python or TypeScript
- Experience building applied AI or ML and shipping to real users
- Hands on with LLMs and current toolset: orchestration frameworks, agentic patterns, RAG, prompt engineering, fine tuning, evals
- Exposure to MLOps/LLMOps: deploying, scaling, monitoring models in production
- Real grounding in software design and architecture
- Comfortable with Git
- Ability to make progress on a deadline and explain thinking
Full Job Posting
Company Overview
- Open Innovation AI develops advanced solutions for managing AI workloads, including the Open Innovation Cluster Manager (OICM) platform.
Role Responsibilities
- Write clean, reliable code for agentic and applied AI features.
- Get LLM capabilities into production: agents, orchestration flows, RAG, tool use, multi agent setups.
- Try new models, techniques, and frameworks; prototype and integrate the good ones.
- Build evals, benchmarks, and observability to measure agent performance.
- Keep AI workloads running in production: automation, scaling, monitoring.
- Work with product and other teams to turn user needs into specs.
- Debug, test, and tune the core product.
- Review code and help junior engineers level up.
- Keep an eye on new research and flag what's worth the team's attention.
Required Experience & Qualifications
- Degree in CS or engineering, or equivalent experience.
- Strong Python or TypeScript.
- Experience building applied AI or ML and shipping to real users.
- Hands on with LLMs and current toolset: orchestration frameworks, agentic patterns, RAG, prompt engineering, fine tuning, evals.
- Exposure to MLOps/LLMOps: deploying, scaling, monitoring models in production.
- Real grounding in software design and architecture.
- Comfortable with Git.
- Ability to make progress on a deadline and explain thinking.
Nice to Have
- A strongly typed language like Go, Java, or C++.
- Open source contributions, papers, or applied research.
- Habit of reading AI research and turning it into product changes.
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