AI Forward Deployed Engineer (FDE)- W2 only

Job Description:

Role Overview & Responsibilities:

• Client-Embedded Execution: Work shoulder-to-shoulder with strategic enterprise customers to deploy AI capabilities directly into their live production systems.
• AI System Integration: Build and scale Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestrations, and API integrations connecting LLMs to internal databases and enterprise software.
• Evaluations & Optimization: Create testing and evaluation frameworks to minimize hallucinations, measure model performance, track observability, and drive cost efficiencies.
• Feedback Loop: Translate custom client deployment hurdles and recurring field requirements back into core product and model roadmaps.

Required Qualifications & Skills:

• Engineering Stack: 3 5+ years of software development experience using Python, TypeScript, and SQL alongside full-stack system design.
• AI Tooling: Hands-on experience with frameworks like LangChain, LangGraph, HuggingFace, vector databases, and model APIs (OpenAI, Anthropic, or similar).
• Cloud & Infrastructure: Familiarity with deploying secure workloads via AWS, Azure, Google Cloud Platform, Docker, and Kubernetes within client environments.
• Communication & Ambiguity: Exceptional stakeholder management skills to translate vague business problems into structured technical scope under pressure