Artificial Intelligence Engineer

Role: Applied AI Engineer

Space: Agentic AI x Life Sciences

Location: New York City (Onsite)

Interested in building production AI systems where the quality of the underlying models directly impacts the product?

We're partnered with a fast-growing, venture-backed AI company building complex enterprise software within life sciences.

They're looking for an Applied AI Engineer to join an early technical team and own AI systems from experimentation through to production, working across LLMs, RAG, agents, evaluations, and the infrastructure needed to make them reliable at scale.

This is a highly hands-on role where you'll experiment quickly, ship into production, measure what works, and continuously improve systems using real customer feedback.

What You'll Be Doing:

• Build and optimize production LLM applications, agentic workflows, and RAG pipelines

Experiment across models, prompting, retrieval strategies, and architectures to improve performance

• Build evaluation frameworks to measure output quality and turn feedback into measurable improvements

Work with complex proprietary datasets to power high-quality enterprise AI workflows

- Design and build agentic systems capable of handling complex, multi-step tasks

• Take AI systems from experimentation through deployment, monitoring, and continuous optimization

• Build the infrastructure and testing needed to make AI systems reliable in production

• Flex across backend, infrastructure, and product when needed to ship complete solutions

What They're Looking For:

• Strong software engineering fundamentals with experience shipping production systems

Hands-on experience building applications with modern LLMs

• Experience across RAG, agentic workflows, prompt engineering, or LLM evaluation

Strong Python engineering skills and experience with modern backend and cloud infrastructure

• Understanding of how to test, monitor, and improve AI systems in production

• Comfortable experimenting rapidly while maintaining strong engineering standards

• Strong communicator who enjoys working closely with engineering, product, and customers

Why Join?

- Build agentic AI systems that are already solving real enterprise problems

- Own the full AI lifecycle from experimentation and evaluation through to production

• Work on challenging problems across LLMs, RAG, agents, and AI infrastructure

Have significant influence over technical direction within an early engineering team

• Work directly with customers and use real-world feedback to improve the systems you build

• Competitive compensation, meaningful equity, and strong long-term career progression

If you're interested in learning more, I'd be happy to share additional details.