AI Engineer - Contract

AI Engineer (LLM) – Contract

Location:
New York, NY (Hybrid – 3 days onsite)

Contract:
3–6 months (extension likely)

We are partnering with a
mission-driven organisation
investing heavily in AI and Large Language Model (LLM) capabilities. They are building out a specialist AI team and are looking for
experienced AI Engineers
to develop and scale production-grade AI systems.

This is an opportunity to work on
cutting-edge LLM applications
within an environment that combines
startup-style innovation with the stability of a well-established organisation
.

The Role

You will join a
dedicated LLM engineering team
, contributing to the design, development, and deployment of
AI-powered systems and applications
.

The work includes:

- Building
LLM-powered products and services
- Designing and implementing
RAG pipelines
- Scaling and optimising
existing AI systems
- Working on
greenfield AI initiatives

Key Responsibilities

- Develop and deploy
production LLM applications
- Design and optimise
retrieval-augmented generation (RAG) systems
- Build scalable
Python-based APIs and microservices
- Integrate AI systems with internal platforms and data sources
- Implement
evaluation, monitoring, and optimisation
of LLM outputs
- Collaborate with cross-functional teams across engineering and product

Required Experience

- Strong experience building
LLM-based applications
- Advanced
Python engineering skills
- Experience with
RAG, vector databases, and prompt pipelines
- Experience deploying systems in
cloud environments (AWS, GCP, or Azure)
- Background working on
production AI/ML systems
- Excellent communication skills

Nice to Have

- Experience with
LangChain, LangGraph, or similar frameworks
- Familiarity with
Kubernetes, Docker, or serverless architectures
- Experience with
event-driven systems or API integrations
- Experience working in
enterprise or large-scale environments

Working Environment

- Hybrid working (3 days onsite in Manhattan)
- Collaborative, high-performing AI engineering team
- Fast-paced environment with strong focus on
real-world impact