Mid Level Forward Deployed Engineer Jobs
Mid level forward deployed engineer jobs go to engineers ready to own customer deployments end to end, drive technical decisions with limited oversight, and guide junior teammates through complex implementations. Openings run across Technology & Software, Consulting & Professional Services, and Artificial Intelligence, with companies like Jobot, Deloitte, and Stripe competing for engineers at this level now.
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Forward Deployed Engineer – Agent Runtimes & MCP (Python)
This role builds the Agent Trust integration for agentic commerce into Anthropic's Claude Commerce Agents blueprint and the surrounding Claude tooling, with the goal of making it adoptable by merchant engineers in a day.
First 90 days
- Stand up the blueprint's verticals on all three runtimes, run its test and verification suites, and pin and maintain fork compatibility.
- Implement the AgentTrustMixin for the blueprint's StorefrontBackend / MerchantBackend. This covers identity binding at session start, in-path trust checks on cart and checkout hooks, decision mapping to native tool-result semantics (Unavailable, domain errors), per-hook fail policy, PII-free decision logging, and outcome reporting.
- Build and test the storefront MCP server path for Managed Agents behind an authenticating gateway, with vault-credential and signed-claim identity options.
- Write the Agent Trust MCP server (advisory tools) and a companion skill for the blueprint's commerce-builder Claude Code plugin.
- Author the merchant integration guide and measure merchant effort (files, lines, prompt bytes, gates, time-to-first-verified-session) as an acceptance metric.
Must have
- 5+ years of Python with strong asyncio, typed code, pytest, and ruff, plus comfort subclassing abstract backends and mapping exceptions to structured results.
- Experience shipping tool-using LLM agents on the Claude Messages API or Agent SDK, and an understanding of prompt caching and why static-prefix bytes matter.
- Experience building or integrating MCP servers (streamable HTTP) with authentication in front, and an understanding that a model can skip a tool call, so enforcement must live server-side.
- JWT/JWKS verification, OAuth client credentials, and secrets handling, plus the ability to call a real-time risk API within a latency budget and reason about fail-open vs. fail-closed.
- Ability to read unfamiliar, unmaintained open-source code quickly, cite module and line for every claim, and work from written acceptance criteria without supervision.
Nice to have
- Claude Managed Agents beta (agents, environments, sessions, vaults, always_ask semantics)
- Claude Code plugin/skill authoring
- Bedrock/Vertex/Foundry routing
- E-commerce domain (cart, variants, checkout hand-off)
- Node 22 for example storefronts
Deliverables
- agent-trust-commerce Python package
- Managed Agents gateway variant
- Agent Trust MCP server
- commerce-builder companion skill
- Integration guide
- Retail vertical demo
Forward Deployed Engineer – Agent Runtimes & MCP (Python)
This role builds the Agent Trust integration for agentic commerce into Anthropic's Claude Commerce Agents blueprint and the surrounding Claude tooling, with the goal of making it adoptable by merchant engineers in a day.
First 90 days
- Stand up the blueprint's verticals on all three runtimes, run its test and verification suites, and pin and maintain fork compatibility.
- Implement the AgentTrustMixin for the blueprint's StorefrontBackend / MerchantBackend. This covers identity binding at session start, in-path trust checks on cart and checkout hooks, decision mapping to native tool-result semantics (Unavailable, domain errors), per-hook fail policy, PII-free decision logging, and outcome reporting.
- Build and test the storefront MCP server path for Managed Agents behind an authenticating gateway, with vault-credential and signed-claim identity options.
- Write the Agent Trust MCP server (advisory tools) and a companion skill for the blueprint's commerce-builder Claude Code plugin.
- Author the merchant integration guide and measure merchant effort (files, lines, prompt bytes, gates, time-to-first-verified-session) as an acceptance metric.
Must have
- 5+ years of Python with strong asyncio, typed code, pytest, and ruff, plus comfort subclassing abstract backends and mapping exceptions to structured results.
- Experience shipping tool-using LLM agents on the Claude Messages API or Agent SDK, and an understanding of prompt caching and why static-prefix bytes matter.
- Experience building or integrating MCP servers (streamable HTTP) with authentication in front, and an understanding that a model can skip a tool call, so enforcement must live server-side.
- JWT/JWKS verification, OAuth client credentials, and secrets handling, plus the ability to call a real-time risk API within a latency budget and reason about fail-open vs. fail-closed.
- Ability to read unfamiliar, unmaintained open-source code quickly, cite module and line for every claim, and work from written acceptance criteria without supervision.
Nice to have
- Claude Managed Agents beta (agents, environments, sessions, vaults, always_ask semantics)
- Claude Code plugin/skill authoring
- Bedrock/Vertex/Foundry routing
- E-commerce domain (cart, variants, checkout hand-off)
- Node 22 for example storefronts
Deliverables
- agent-trust-commerce Python package
- Managed Agents gateway variant
- Agent Trust MCP server
- commerce-builder companion skill
- Integration guide
- Retail vertical demo
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Who's Hiring
Top Industries Hiring
- Technology & Software48
- Consulting & Professional Services12
- Artificial Intelligence8
- Banking & Financial Services8
- Staffing & Recruiting7
Mid Level Forward Deployed Engineer Jobs: Frequently Asked Questions
How do I get a mid level forward deployed engineer job?
Lead with ownership. Hiring managers at this level want to see that you have independently managed deployments, debugged production issues on customer sites, and influenced technical direction without constant guidance. Tailor your resume to show specific outcomes you drove, customers you retained, and cross-functional problems you solved. Applications that demonstrate initiative and depth of customer engagement consistently stand out.
Which companies hire mid level forward deployed engineers?
Companies hiring mid level forward deployed engineers right now include Jobot, Deloitte, and Stripe, based on current listings on Migrate Mate as of September 2026. Hiring at this level tends to come from growth-stage software companies and established enterprise technology firms that need engineers who can operate independently at customer sites and close the gap between product and implementation.
Are there remote mid level forward deployed engineer jobs?
Yes, though the role is heavily field-oriented by nature. About 43% of mid level forward deployed engineer openings are remote or hybrid as of September 2026, which typically means customer-facing travel is still expected even when a home base is allowed. Fully remote positions are less common than in other engineering disciplines, so flexibility requirements vary by employer and customer portfolio.
How do I move up to a mid level forward deployed engineer role?
The path from entry level into mid level is built on demonstrated ownership over time. Focus on taking on increasingly complex customer engagements, volunteering to lead deployment projects, and documenting measurable impact like reduced time to value or improved customer adoption. Engineers who develop strong technical depth alongside consultative communication skills, and who show they can operate without close supervision, typically make the transition within a few years of consistent performance.
Which industries hire the most mid level forward deployed engineers?
Mid Level forward deployed engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Artificial Intelligence, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they deploy complex software into enterprise environments where a technically skilled engineer embedded with the customer is essential to successful adoption and long-term retention.