Forward Deployed AI Engineer

Forward Deployed AI Engineer (Agentic AI) / AI Solutions Engineer

Location:
Palo Alto, CA (Hybrid)

Compensation
: $150,000 - $200,000 Base Salary + Equity

Own Production AI. Not Just POCs.
We're placing a
Forward Deployed AI Engineer
at a hyper-growth Agentic AI startup, automating core industrial workflows for F500 clients. (Palo Alto, CA - Hybrid)

Are you a builder eager to move past abstract models and deliver
measurable, bottom-line impact
with Generative AI?

My client, a pioneering Agentic AI startup, is disrupting how major industrial enterprises (think Oil & Gas, Aerospace, etc.) run their operations. They are moving beyond simple automation to deploy intelligent, autonomous AI Agents that can
reason, adapt, and execute multi-step processes
across complex enterprise systems (ERP, SCADA, MRO, etc.).

We are seeking a
Forward Deployed AI Engineer
to be the technical spearhead for customer success—the critical link between the core engineering team and the client's industrial operations.

The Mission: Deployment & Impact

You will operate as a hybrid
Solutions Architect
and
ML Engineer
, owning the full lifecycle of AI Agent deployment:

• Consult & Scope:
  Partner directly with senior client stakeholders to identify, design, and scope mission-critical Agent use cases (e.g., closed-loop process optimization, autonomous asset management, real-time compliance).
• Integrate & Tune:
  Perform hands-on integration with complex, often legacy, industrial and enterprise systems. Tune the Agent's logic (RAG, prompt engineering, vector search) to guarantee specific, quantifiable outcomes like
  lower operational costs
  or
  10x efficiency gains.
• Influence Product:
  Bring high-value, real-world deployment insights directly back to the Product and Core Engineering teams, actively shaping the platform's roadmap.

Your Builder Toolkit (Must Haves):

• Experience:
  2–5 years in Software Engineering, Solutions Engineering, or ML Deployment is required.
• Core Stack:
  Strong Python and Javascript.
• GenAI/MLOps:
  Experience with OpenAI/LLMs, Embeddings, Prompt Engineering, and RAG Systems (e.g., LangChain).
• Data Infrastructure:
  Hands-on experience with Vector Databases (Pinecone, Weaviate, Postgres) and complex RESTful API integration.

The Offer:

• Compensation:
  $150K - $200K Base + Performance Bonus Potential.
• Location:
  Hybrid in
  Palo Alto, CA
  .
• Growth:
  This is a high-visibility role with a direct line to the founders, offering a clear path to Senior IC or leadership as the company scales.