Forward Deployed Engineer (AI)
$102,000–$115,000 year
On-siteFremont, California, United States
Job Summary
Partner with business stakeholders across Finance, HR, Supply Chain, and Operations to identify workflows for AI-enabled automation. Design, develop, test, and deploy AI-powered applications, assistants, and agents using Large Language Models, RAG, and emerging frameworks. Rapidly build proof-of-concepts and minimum viable products to validate value, then iterate based on user feedback. Integrate solutions with enterprise platforms like Microsoft 365, Salesforce, and Oracle while establishing reusable components and best practices. Embed within functional teams to communicate technical concepts and support adoption through demonstrations and knowledge sharing. Drive enterprise AI adoption by delivering high-value solutions that streamline processes and create measurable operational impact.
Required Qualifications
- Onsite in Fremont, California
- Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical field
- 0–3 years of professional software engineering or application development experience
- Strong analytical and problem-solving skills
- Ability to manage complexity, take initiative in problem solving, and think critically under pressure
- Experience building applications utilizing Large Language Models (LLMs), AI APIs, AI agents, or similar generative AI technologies through professional work, personal projects, research, or open-source contributions
- Ability to quickly learn new technologies and adapt to evolving AI capabilities
- Excellent communication and interpersonal skills
- Ability to work independently while managing multiple priorities in a fast-paced environment
Desired Qualifications
- Experience with OpenAI APIs, ChatGPT Enterprise, Azure OpenAI, Anthropic Claude, Gemini, or similar enterprise AI platforms
- Experience with agent frameworks such as OpenAI Agents SDK, LangGraph, CrewAI, or similar orchestration frameworks
- Familiarity with Retrieval-Augmented Generation (RAG), vector databases, semantic search, and Model Context Protocol (MCP)
- Experience with Azure, AWS, or GCP cloud platforms
- Experience with Docker, GitHub, CI/CD pipelines, or Kubernetes
- Experience developing internal productivity tools or workflow automation solutions
- Contributions to open-source projects, hackathons, AI competitions, or personal AI projects that demonstrate technical curiosity and initiative
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