Applied AI Scientist (Clinical AI Agents)

Harrison Clarke; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Harrison Clarke, a rapidly expanding AI-native technology company, is seeking an Applied AI Scientist in New York. This role focuses on designing and deploying agentic AI systems, requiring a blend of software engineering and applied AI expertise. Successful candidates will engage in building production-grade AI agents, developing workflows, and collaborating across teams to solve complex problems.

The company offers a dynamic work environment where engineers have significant ownership over projects and can experiment with cutting-edge AI tools.

Qualifications

• Strong candidates should have a software engineering or applied AI background.
• Experience in AI Agents, LLM Applications, or related technologies is valuable.

Responsibilities

• Design and build production-grade AI agents.
• Develop workflows involving reasoning and tool use.
• Create evaluation frameworks and benchmarks.
• Prototype new capabilities and iterate based on usage.
• Collaborate with product teams to solve operational problems.

Skills

AI Agents

LLM Applications

Retrieval-Augmented Generation (RAG)

Tool Calling

Prompt Engineering

LangGraph

LangChain

Agent Frameworks

Evaluation Systems

Workflow Automation

Job description

Applied AI Scientist (Clinical AI Agents)

Hybrid | NY

A fast-growing AI-native technology company is hiring Applied AI Engineers to help build and deploy the next generation of agentic AI systems.

This is not a traditional machine learning role.

The team is looking for engineers who are excited about building real-world AI products, designing agent workflows, experimenting with emerging tools, and shipping systems that create measurable business impact.

Successful candidates will work on complex, multi-step AI systems that reason, retrieve information, make decisions, interact with tools, and automate workflows that previously required significant human effort.

What You'll Work On

• Design and build production-grade AI agents
• Develop multi-step workflows involving reasoning, retrieval, tool use, memory, routing, and verification
• Build systems that leverage LLMs, RAG, structured outputs, and agent orchestration frameworks
• Create evaluation frameworks, benchmarks, and feedback loops to improve agent performance
• Prototype new capabilities quickly and iterate based on real-world usage
• Partner closely with engineering, product, and domain experts to solve complex operational problems

Ideal Background

Strong candidates may come from either a software engineering or applied AI background.

Experience with some combination of the following is highly valuable:

• AI Agents
• LLM Applications
• Retrieval-Augmented Generation (RAG)
• Tool Calling
• Prompt Engineering
• LangGraph
• LangChain
• Agent Frameworks
• Evaluation Systems
• Workflow Automation

What The Team Values

• Strong builders who ship quickly
• Product-oriented thinking
• Curiosity around emerging AI tools and frameworks
• Comfort operating in ambiguity
• Ability to learn and adapt rapidly as the ecosystem evolves
• Focus on outcomes rather than research for research's sake

Examples of Relevant Experience

• Building AI copilots or assistants
• Designing agent workflows
• Developing AI-powered internal tools
• Building evaluation and monitoring systems for LLM applications
• Creating retrieval and reasoning pipelines
• Shipping AI products that users interact with daily

Why Join?

The company is investing heavily in AI and views agentic systems as a core part of its future product strategy.

Engineers on this team have significant ownership, move quickly, and work directly on products that are already delivering value at scale. This is an opportunity to help define how modern AI systems are built, deployed, and improved in production environments.

If you're the type of person who constantly experiments with new AI tools, has strong opinions on agent frameworks, and enjoys turning cutting-edge capabilities into useful products, this is likely worth a conversation.