Role Description
Senior AI Forward Deployed Engineer || Full time || Remote || New York
- We are seeking a highly skilled Senior AI Engineer to design, build, and deploy enterprise-level AI solutions using Generative AI, Large Language Models (LLMs), and AI automation technologies.
The ideal candidate will have strong hands-on experience with Python, OpenAI GPT, Azure OpenAI, RAG applications, AI Agents, LangChain/LangGraph, and cloud-based AI solutions. This role involves working with business teams to identify AI opportunities and delivering production-ready solutions from architecture through deployment.
Key Responsibilities:
+ Build and deploy LLM-powered applications, AI agents, and automation workflows. + Develop RAG solutions using embeddings, vector search, and document processing. + Design AI integrations with APIs, databases, and enterprise applications. + Create scalable backend services using Python. + Implement AI security, monitoring, evaluation, and optimization practices. + Collaborate with business and engineering teams to deliver impactful AI solutions.
- Required Skills:
+ 8+ years of software engineering or solution development experience. + 4+ years of AI/ML and Generative AI experience. + Strong Python development skills. + Hands-on experience with GPT, Azure OpenAI, Claude, RAG, LangChain, LangGraph, or Semantic Kernel. + Experience deploying AI solutions into production environments. + Strong understanding of APIs, cloud platforms, and enterprise integrations.
- Experience with Azure AI services, AWS, Docker, Kubernetes, CI/CD, vector databases, and AI governance is preferred.
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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