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# AI Forward Deployed Engineer

- **Company:** Tech Inc
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Python (Programming Language), Operational Databases, Software Engineering, SQL Databases, TypeScript, Google Cloud, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Generative AI, Kubernetes, HuggingFace, Api Management, Docker
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/44e394db-8537-4002-bfbf-204b3c9dcfdc

## About the Role

* 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

## Description

* 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.


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