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Morgan & Morgan, P.A.

Forward Deployed Engineer

United States; United States - RemoteRemote · United States
Product
POSTED 9 NOVVERIFIED 49M AGO
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Role
2 days opentrue age
Posted 9 Nov
Pay
$120k–$200kno pay posted
Market p25–p75
$120k–$200k
United States · n=7417 · 365d to 11 Nov
CompanyMorgan & Morgan, P.A. →
417open roles
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37,619open · Software engineering
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AWSLLMs

At Morgan & Morgan, the work we do matters. For millions of Americans, we’re their last line of defense against insurance companies, large corporations or defective goods. From attorneys in all 50 states, to client support staff, creative marketing to operations teams, every member of our firm has a key role to play in the winning fight for consumer rights. Our over 6,000 employees are all united by one mission: For the People.

Forward Deployed Engineer

Remote, United States

About the Role

We're hiring Forward Deployed Engineers who are passionate about building high-quality software and putting AI to work where it makes the biggest difference. In this role, you'll work directly with our business teams, such as call center reps, case managers and attorneys, to find problems worth solving and ship solutions that move a measurable business result. You'll build AI agents and full-stack applications on AWS and MX2, our in-house AI platform, which more than 5,000 people across the firm use every month.

This is a hands-on engineering role on smaller teams tasked with solving one problem at a time. You'll own each solution from the first conversation to the measured result, then hand it to a permanent owner and take on the next problem. There is one title for this role, with no junior or senior levels: we care most about the business impact you deliver and how well you use AI to get there, not about years of experience alone.

Responsibilities

  • Embed with the business: Spend time with the teams doing the work to understand how it gets done and where it gets stuck
  • Pick the right problem: Agree with business owners on one measurable problem, take a baseline before building, and define how success will be measured
  • Lead by example: Design and implement reliable systems across the backend, frontend, and cloud infrastructure on AWS
  • Build with AI: Build AI agents and workflows for areas such as our call center and client intake across chat, text and voice, the early steps of litigation, practice areas beyond personal injury, and new AI products the firm is building
  • Elevate code quality: Champion test-driven development, code hygiene, and clean architecture
  • Build for trust: Test and evaluate AI output, design human review where it matters, and protect client data under HIPAA and firm policy
  • Move fast, build right-sized: Ship working solutions quickly and improve them in production, with the reliability and observability the problem actually needs rather than over-engineering up front
  • Measure the result: Report the business outcome, not just the feature shipped
  • Champion documentation and handoff: Author technical design documents and transfer what you build cleanly to a permanent product or engineering owner
  • Cross-functional alignment: Collaborate with product managers, engineers, and business stakeholders to keep every solution aligned with the MX2 roadmap

Requirements

  • Typically 5+ years of professional software development experience, though we weigh shipped impact and AI fluency over tenure
  • Strong in at least one modern programming language, and comfortable working across the full stack
  • Hands-on experience with agentic development: using AI coding agents such as Claude Code or Cursor to plan, write, test and review production code
  • Hands-on experience building with large language models in production, such as Anthropic Claude or OpenAI models, including prompting, tool use, retrieval, AI agent workflows and evaluation
  • Production experience with AWS and modern cloud-native architectures
  • Demonstrated expertise in software testing, quality assurance, and CI/CD pipelines
  • Comfort turning a loosely defined business problem into a scoped build without a detailed spec
  • Exceptional communication skills, including explaining technical tradeoffs to non-technical stakeholders in plain language

Nice to Have

  • Experience as a forward deployed, solutions or field engineer, or in another customer-facing engineering role
  • Voice AI or contact center technology, such as speech-to-text, telephony and real-time conversation
Source · Morgan & Morgan, P.A.First seen 11 NovOriginal ↗