Forward Deployed Engineer

morganmorganjobsapplynow; Stati Uniti; Remoto; USD 120.000 - 160.000; Tempo pieno

Descrizione del lavoro

Morgan & Morgan is hiring Forward Deployed Engineers to build AI-powered software on AWS and our MX2 platform. You’ll work directly with business teams to deliver solutions that drive measurable business results across call center, client intake, and litigation workflows.

This hands-on role emphasizes delivering impact with AI, owning solutions end-to-end, and maintaining high standards for testability, security, and production readiness.

Competenze

• 5+ years of software development experience with notable AI impact.
• Experience with AWS and cloud-native architectures.
• Experience with large language models in production (prompting, tool use, retrieval, AI agent workflows).
• Ability to translate loosely defined business problems into scoped builds without detailed specs.

Mansioni

• Embed with the business to understand workflows and bottlenecks.
• Define measurable problems and establish baselines.
• Design and implement reliable backend, frontend, and cloud infrastructure on AWS.
• Build AI agents and workflows for call center, client intake, and other areas.
• Champion test-driven development, code hygiene, and clean architecture.
• Test AI output, include human-in-the-loop reviews where needed, protect client data.

Conoscenze

AI fluency

Full-stack development

Communication skills

Software testing

CI/CD pipelines

Strumenti

AWS

Claude Code

Cursor

Bedrock AgentCore

Descrizione del lavoro

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
• Amazon Bedrock, Bedrock AgentCore or similar AI agent platforms
• Salesforce or Litify experience
• Experience in legal, healthcare or another regulated industry

Why Join Us

• Be part of a fast-growing engineering team within a stable, established company
• Build AI that people across America's largest injury law firm use every day
• Opportunities for career advancement, ownership, and professional development
• Get recognized for the impact you deliver, and see the difference your work makes in the business
• Work with passionate engineers who value thoughtful design, high-quality code, and continuous improvement
• Work remotely from anywhere in the United States
• This role is remote within the United States, with occasional travel to our offices and business teams.

Salary Range

$120,000 - $160,000 USD

Benefits

Morgan & Morgan is a leading personal injury law firm dedicated to protecting the pe