AI Product Engineer – Agent & Integrations

Ensemble IP

. Extend Duet's agent harness by integrating new data sources .

Posted 10/22/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in TypeScript and Node backend development, with a strong focus on integrating complex tools and data sources into agent frameworks. Demonstrates effective collaboration and communication skills to translate user needs into actionable delivery plans.

Highest-signal resume keywords

TypeScript Backend DevelopmentLLM Agent IntegrationPrompt EngineeringAPI IntegrationIncremental Delivery Discipline

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringTypeScriptNodePrompt EngineeringAPI IntegrationData Source IntegrationSystem ArchitectureContext ManagementStreamingVersion Control

Soft Skills

Written CommunicationVerbal CommunicationTeamworkCollaborationProblem-Solving

Tools & Technologies

MCPRedis

Industry Keywords

Agent FrameworkIncremental DeliveryUser PresentationTool DesignSkill Definition

Tech Stack

Tools & technologies

Node.jsRedisTypeScript

About the role

Key responsibilities & impact

Extend Duet's agent harness by integrating new data sources
Build MCP access to Duet functionality
Author curated prompts and skills
Design and implement the approach to expose Duet's capabilities via MCP
Add data sources by writing thin TypeScript connectors and wiring them into the agent as composable tools
Understand data sources and determine efficient ways to incorporate them into Duet
Author and iterate on system prompts, tool designs, skill definitions, and the architecture linking these resources
Extend and improve the production agent loop, including context management, streaming, Redis locks, billing, and user presentation
Translate user needs into staged delivery plans and deliver thin vertical slices incrementally
Collaborate with team members, exchange ideas, challenge approaches, and continuously improve

Requirements

What you’ll need

3+ years professional software engineering experience
Strong TypeScript/Node backend skills
12+ months building LLM agents, with an emphasis on integrating and orchestrating complex tools and data sources
Track record of delivering outcomes efficiently
Incremental delivery discipline; ability to decompose work so each PR adds user value or represents a deliberate milestone
Demonstrated prompt engineering as product work, including structured prompts, iteration from failure modes, and version control
Experience integrating third-party APIs into an agent framework
Excellent written and verbal communication with a focus on teamwork and collaboration

Benefits

Comp & perks

No benefits, perks, or compensation extras are specified in the posting.