Forward Deployed Engineers

Forward Deployed EngineersHybrid, New York (Manhattan) | Contract | Competitive day rate

Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed.
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.
We will also require you to complete a Technical Assessment.
About the roleWe are looking for a number Forward Deployed Engineers to work alongside our AI Solutions Lead, building production AI applications directly for our clients.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.
What you will doWork directly with our client to scope problems and turn them into technical solutionsAct as the day-to-day technical contact for the client team, explaining progress and trade-offs with confidenceBuild and deploy production-ready applications with modern full-stack toolingDevelop LLM features, AI agents, and intelligent workflows inside customer environmentsBuild backend services and frontend experiences that hold up under real useRun prompt engineering and evaluation cycles to keep improving what's shipped
What you will bringSolid background in software engineering or AI engineering, ideally with roots in solutions engineering, implementation, or embedded delivery work before AI made it fashionable8+ years in software engineering overall5+ 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 production1+ year working with agent orchestration frameworks (LangChain, LangGraph, or CrewAI)1+ year designing RAG pipelines and working with vector databasesComfortable translating business needs into technical decisions with minimal hand-holdingGenuine interest in where this field is heading, and the ability to adapt fast when the tools changeStrong communication skills and real confidence dealing with clients. You'll be the engineer customers see and trust
Tech skillsYou keep pace with how fast AI is moving, and you have actually used the latest tools, not just read about them.Core languages and backendPython: for AI orchestration, data scripting, and backend logicTypeScript / Node.js: for customer-facing extensions, full-stack glue code, and lightweight web UIsReact / Next.js: for customer-facing interfacesSQL: for deep database queries (Java or Go is a plus for heavy enterprise system extensions)FastAPI / Flask: for spinning up microservices and rapid integration layersAI and agent orchestrationLLM providers: fluency with Anthropic Claude, OpenAI, and open-source models via Hugging Face or vLLMOrchestration: production proficiency in LangChain, LangGraph, or CrewAI for multi-step agent behavioursRAG and vector stores: hands-on design with vector databases (Pinecone, Qdrant, pgvector) and retrieval systemsEvaluation and observability: deployment tracking using tools like LangSmith or Braintrust to audit hallucination rates and latencyData and infrastructureDatabases and warehouses: PostgreSQL, Snowflake, or BigQuery for customer data ingestionCloud platforms: working knowledge of AWS, GCP, or AzureContainerisation: Docker as a baseline, with basic Kubernetes and Terraform for replicating environments
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. xzbcwsv Thank you for taking the time to apply and for your interest in working with us. Your effort is genuinely appreciated.