Mid Level Forward Deployed Engineering Jobs
Mid level forward deployed engineering jobs go to engineers ready to own customer-facing deployments end to end, drive technical decisions with limited oversight, and mentor junior teammates through complex implementations. Openings run across Technology & Software, Consulting & Professional Services, and Artificial Intelligence, with a mix of on-site and hybrid settings, and employers like Jobot, Deloitte, and Stripe are 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 Engineering Jobs: Frequently Asked Questions
How do I get a mid level forward deployed engineering job?
Lead with evidence of ownership, not just participation. Hiring managers at this level want to see that you drove a deployment or integration from kickoff to customer sign-off, handled ambiguity without constant direction, and communicated technical tradeoffs to non-engineers. Tailor your application to show scope, not just tasks, and be specific about the customer impact you delivered.
Which companies hire mid level forward deployed engineerings?
Companies hiring mid level forward deployed engineerings 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 enterprise software companies, infrastructure vendors, and fast-scaling SaaS businesses that embed engineers directly with customers to manage complex technical rollouts.
Are there remote mid level forward deployed engineering jobs?
Yes, though the role's customer-facing nature means fully remote positions are less common than in pure software engineering. About 43% of mid level forward deployed engineering openings are remote or hybrid as of September 2026, with hybrid arrangements being the most frequent since periodic on-site work at customer locations is often part of the job scope at this level.
How do I move up to a mid level forward deployed engineering role?
The shift from entry level to mid level comes from accumulating real deployment ownership over time. Early in your career, focus on mastering one or two core technologies, then gradually take on more of the customer-facing work independently. Demonstrating that you can manage a full implementation cycle, troubleshoot under pressure, and earn customer trust without a senior engineer beside you is what signals readiness for mid level scope.
Which industries hire the most mid level forward deployed engineerings?
Mid Level forward deployed engineering roles concentrate in Technology & Software, Consulting & Professional Services, and Artificial Intelligence, based on current listings on Migrate Mate as of September 2026. These sectors tend to drive hiring at this level because their enterprise customers require hands-on technical integration support, and mid level engineers with proven deployment experience are the right fit for managing that complexity independently.