As a Forward Deployed AI Engineer, you will partner with our most strategic enterprise customers to turn frontier AI research into production-grade systems. You will own the entire lifecycle of an AI deployment—from initial technical discovery and scoping to building custom agentic workflows and ensuring long-term production reliability.
Core Responsibilities
- End-to-End Implementation: Lead the technical delivery of AI solutions, moving from a first prototype to a stable production system within the customer's infrastructure.
- Custom Agent Development: Design and build LLM-powered agents that can reason, plan, and execute tasks across a client's tools and sensitive data.
- Integration & Infrastructure: Build robust data connectors, ETL pipelines, and Model Context Protocol (MCP) servers to bridge company data with AI models.
- Evaluation & Optimization: Implement evaluation frameworks to measure model accuracy and conduct systematic prompt engineering to reduce hallucinations.
- Product Feedback Loop: Identify repeatable patterns in the field and collaborate with core Product and Research teams to influence the company’s roadmap.
Requirements
- Engineering Excellence: Strong proficiency in Python (often required) and experience with TypeScript, Java, or C++.
- AI Frameworks: Deep experience with modern AI stacks such as LangChain, LangGraph, AutoGen, or LlamaIndex.
- Cloud & Devops: Experience deploying resources via Terraform and architecting systems on GCP, AWS, or Azure.
- Communication: Ability to explain complex technical trade-offs to both C-suite executives and client engineering teams.
- Travel: Willingness to travel 25% to 50% of the time to work on-site at client locations.
Sample Compensation (2026 Estimates)
- Base Salary: $220,000 – $340,000+.
- Total Compensation: $300,000 (Mid-level) to $1.2M+ (Principal) including equity and bonuses.
