Applied AI Engineer

Diagonal recruitment; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

Diagonal recruitment is seeking an AI software engineer to build AI-powered applications, copilots and agents, integrating foundation models into business workflows.

You will develop prompting strategies, tool calls and reasoning, collaborate with product, data and architecture teams, and help design scalable, maintainable AI systems for production use.

Qualifications

• Experience deploying AI apps to production.
• Experience across multiple LLMs.
• Develop agentic AI workflows.
• Integrate AI with business systems and APIs.

Responsibilities

• Build AI-powered applications, copilots and agents.
• Integrate foundation models into business workflows.
• Develop prompting, tool-calling and reasoning strategies.
• Evaluate and improve AI application performance.
• Collaborate with product, data and architecture teams.
• Contribute to the design of scalable, maintainable AI systems.

Skills

Software engineering

Delivery mindset

Prototype to prod

Business problem solving

Curiosity about AI

Tools

Python

OpenAI

Anthropic

Gemini

LangChain

LangGraph

APIs

Git

Docker

Job description

As organisations move from AI pilots into practical deployment, demand is growing for engineers capable of building real-world applications powered by large language models and modern AI tooling.

Role Overview

• Build AI-powered applications, copilots and agents
• Integrate foundation models into business workflows
• Develop prompting, tool-calling and reasoning strategies
• Evaluate and improve AI application performance
• Collaborate with product, data and architecture teams
• Contribute to the design of scalable, maintainable AI systems

Tools & Technologies (required)

• Python
• OpenAI, Anthropic, Gemini or similar LLM platforms
• LangChain, LangGraph or equivalent frameworks
• APIs and integration tooling
• Git Docker

Experience (required)

• Building and deploying AI applications into production
• Working across LLMs
• Developing agentic AI workflows
• Integrating AI solutions with business systems and APIs
• Understanding of evaluation, testing and performance optimisation

About You

• Strong software engineering fundamentals
• Builder mentality with a focus on delivery
• Comfortable moving from prototype to production
• Focused on solving business problems using AI
• Practical understanding of model limitations and trade-offs
• Curious about emerging AI capabilities but grounded in real-world implementation

Additional Information

• Permanent, interim and fractional opportunities available
• Exposure to a broad range of AI use cases and technologies