What does a Forward Deployed Engineer do at Koya Consulting?

Forward Deployed Engineers at Koya Consulting are embedded directly with enterprise customers to implement and customize the platform, build integrations, and solve technical problems in real-world client environments. They combine software engineering skills with direct customer interaction, writing production code while also serving as the primary technical point of contact.

What skills are required for this Forward Deployed Engineer role?

The Forward Deployed Engineer role at Koya Consulting typically requires strong software engineering skills (Python, TypeScript, SQL), experience with APIs and system integration, comfort with cloud platforms, and the ability to communicate complex technical topics to non-technical stakeholders. Most FDE roles require 3-7 years of engineering experience.

Is this Forward Deployed Engineer position at Koya Consulting remote?

Remote availability varies by Koya Consulting FDE role. Some positions are fully remote, others require travel to customer sites, and some are hybrid. Check the full job description above for the specific location requirements for this posting.

Koya Consulting

Forward Deployed Engineer

$114K - $125K Fremont, CA, US Mid Posted May 14, 2026

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Role Description

Supply Chain AI Systems to work at the intersection of AI, distributed systems, and Tesla’s global supply chain operations. In this role, you’ll collaborate directly with engineering and operations teams to design, deploy, and scale agentic AI systems that optimize end-to-end supply chain performance.

Comment: looking for engineers with good supply chain background and experience on AI solution

Pay: $55.00 - $60.00 per hour

Work Location: In person

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.