Job Description
Forward Deployed Engineers
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Hybrid, New York (Manhattan) | Contract | Competitive day rate
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You must hold full working rights in the United States. We are unable to sponsor visas, and we do not consider visa holders working through a C2C arrangement.
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We will also require you to complete a Technical Assessment.
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About the role
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We are looking for a number Forward Deployed Engineers to work alongside our AI Solutions Lead, building production AI applications directly for our clients.
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You will partner with the client to understand their operational problems, then design and ship full-stack solutions powered by LLMs and agentic workflows. This is a client-facing role, not a back-office build role. You will own projects from discovery through deployment, working closely with the client team and iterating fast as requirements shift.
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What you will do
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- Work directly with our client to scope problems and turn them into technical solutions
- Act as the day-to-day technical contact for the client team, explaining progress and trade-offs with confidence
- Build and deploy production-ready applications with modern full-stack tooling
- Develop LLM features, AI agents, and intelligent workflows inside customer environments
- Build backend services and frontend experiences that hold up under real use
- Run prompt engineering and evaluation cycles to keep improving what's shipped
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What you will bring
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- Solid background in software engineering or AI engineering, ideally with roots in solutions engineering, implementation, or embedded delivery work before AI made it fashionable
- 8+ years in software engineering overall
- 5+ years in full-stack development (React, SQL, and Python or TypeScript as your main language, with working fluency in the other)
- 2+ years hands-on shipping LLM or generative AI applications in production
- 1+ year working with agent orchestration frameworks (LangChain, LangGraph, or CrewAI)
- 1+ year designing RAG pipelines and working with vector databases
- Comfortable translating business needs into technical decisions with minimal hand-holding
- Genuine interest in where this field is heading, and the ability to adapt fast when the tools change
- Strong communication skills and real confidence dealing with clients. You'll be the engineer customers see and trust
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Tech skills
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You keep pace with how fast AI is moving, and you have actually used the latest tools, not just read about them.
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Core languages and backend
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- Python: for AI orchestration, data scripting, and backend logic
- TypeScript / Node.js: for customer-facing extensions, full-stack glue code, and lightweight web UIs
- React / Next.js: for customer-facing interfaces
- SQL: for deep database queries (Java or Go is a plus for heavy enterprise system extensions)
- FastAPI / Flask: for spinning up microservices and rapid integration layers
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AI and agent orchestration
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- LLM providers: fluency with Anthropic Claude, OpenAI, and open-source models via Hugging Face or vLLM
- Orchestration: production proficiency in LangChain, LangGraph, or CrewAI for multi-step agent behaviours
- RAG and vector stores: hands-on design with vector databases (Pinecone, Qdrant, pgvector) and retrieval systems
- Evaluation and observability: deployment tracking using tools like LangSmith or Braintrust to audit hallucination rates and latency
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Data and infrastructure
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- Databases and warehouses: PostgreSQL, Snowflake, or BigQuery for customer data ingestion
- Cloud platforms: working knowledge of AWS, GCP, or Azure
- Containerisation: Docker as a baseline, with basic Kubernetes and Terraform for replicating environments
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Please note: I personally review every CV, message, and email I receive regarding our vacancies. While I carefully read each one, I am unfortunately unable to reply to everyone individually due to the volume of applications. Thank you for taking the time to apply and for your interest in working with us. Your effort is genuinely appreciated.
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