Builds LLM-native systems and agents using Claude/AWS Bedrock; heavy on rapid prototyping and AI-enabled delivery.
About the Role
Forward Deployed Engineers embed in client organizations to build production-grade LLM-native systems or business automations, owning end-to-end workstreams and delivering production-quality software and reusable artifacts. The role focuses on technical delivery, rapid prototyping, stakeholder communication, and transferring durable capabilities to clients.
Job Description
Role
Forward Deployed Engineers (FDEs) embed inside client organizations to deliver production-grade AI systems, agents, data products, and business automations. FDEs own assigned workstreams end-to-end, ship in client codebases and environments, and contribute reusable artifacts and patterns back to the practice.
Key Responsibilities
- Own assigned workstreams end-to-end within larger engagements.
- Build and ship production-quality code in client environments (not sandboxes).
- Participate in discovery sessions, architecture reviews, and stakeholder interviews.
- Translate ambiguous problems into scoped, deliverable work and surface risks early.
- Document and hand off working software or automations that persist after engagement ends.
- Contribute at least one reusable artifact or pattern back to the practice before engagement close.
Requirements
- 2–4 years of software engineering, technical delivery, or business systems experience.
- Demonstrated ability to self-direct work, manage time and priorities, and deliver quality without daily oversight.
- Hands-on experience in one or more: LLM application development, cloud-native development, backend engineering, or business automation tooling.
- Strong communicator: technically clear with engineers and accessible/credible with business stakeholders.
- High tolerance for ambiguity and ability to deliver before every requirement is fully defined.
Preferred Qualifications
- Hands-on experience building with LLM APIs (Claude, AWS Bedrock, or equivalent), including prompt architecture and basic agent patterns.
- Familiarity with cloud-native development (AWS preferred), containerization, or backend systems.
- Experience with rapid prototyping and producing working proofs-of-concept quickly.
- Background in consulting, systems integration, or professional services is a plus.
Operational / Business-Function Preferences
- Deep fluency in at least one business function (Finance, HR, Legal, Sales Ops, Supply Chain, Manufacturing).
- Hands-on experience with Zapier, Power Automate, Airtable, or similar business automation tools.
- Familiarity with enterprise systems such as Salesforce, Oracle, D365, Workday, or ServiceNow.
- Experience supporting AI or digital adoption programs for non-technical audiences.
- Medical, dental, and vision insurance (for employee and eligible dependents).
- 401(k) with company match up to 4% and immediate vesting.
- Competitive phantom equity and potential bonuses/commissions/equity incentives.
- Company-issued laptop; equipment and office stipend.
- Flexible Spending Account.
- Annual learning and development stipend.
- Unlimited paid time off and 10 paid holidays.
- Term disability and life insurance.
Compensation & Travel
- Base salary range: $136,000 - $216,000 per year, commensurate with experience.
- Additional compensation may include bonuses, commissions, equity, and other incentives.
- Role may require up to 50% travel depending on business needs.
Skills
Software Engineering Technical Delivery Business Systems Self-direction Communication Stakeholder Management Architecture Discovery Rapid Prototyping Consulting Project Management Ambiguity Tolerance Documentation Handoffs
Experience Level
Mid
USD 136,000 - 216,000/year
Employment Type
Full Time
- Fully Remote
- Medical insurance (employee and dependents)
- Dental insurance
- 401k with company match up to 4% and immediate vesting
- Company-issued laptop
- Term disability insurance
- Equipment and office stipend
- Annual learning and development stipend