Agentic AI Engineer — Build Production LLM Agents

Sponsor Finder; Boston; Hybrid; GBP 93,000 - 126,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Health Spending Accounts

Wellness Benefits

Life Insurance

401k with match

Flexible Time Off

Job summary

Dotmatics seeks an experienced Software Engineer (Agentic AI) to build the AI agent at the core of the Luma platform. You will own the agent end to end: reasoning, tools, memory, failure recovery, and production readiness within a small, high-trust team of engineers, product scientists, and domain experts.

This AI-native role emphasizes decomposing work for coding agents, providing context, and delivering production-quality software faster than traditional methods while maintaining strict

Qualifications

• Around 10 years of software engineering experience, including hands-on work building LLM-powered agents in production.
• Degree or higher in Computer Science, Engineering, or a related technical field.
• Experience with Python, Node.js/TypeScript, and React services for production.

Responsibilities

• Develop the agent loop, harness, and control flow connecting the model, tools, and state, including subagents, long-running tasks, checkpointing, and recovery.
• Practice context engineering: decide what goes into the context window, when to compact or summarize, and how to keep the agent coherent over long-running experiments.
• Design tools for the agent, with clear interfaces and descriptions, covering instrument orchestration, scheduling, data capture, and developer tooling such as GitHub, repositories, CI/CD, and workflows.
• Give the agent memory and state persistence so it learns from and builds on earlier work.
• Implement permissions and sandboxing that define what the agent can do on its own, what needs human approval, and how mistakes are contained.
• Defend the agent against prompt injection and untrusted content, with auditability and data isolation suited to regulated environments.
• Evaluate the agent end‑to‑end on real multi‑step tasks, then debug its behavior by reading traces and finding root causes, fixing the harness, tools, or prompts to improve reliability, tool‑use accuracy, cost, and latency.
• Adapt the harness as models improve, and remove scaffolding that is no longer needed.
• Run an AI‑first development loop (scope, plan, delegate to coding agents, verify, ship), preferring agent execution over hand‑writing whenever quality holds, and build and maintain the team’s agent harness for development itself (project memory, skills, hooks, MCP, CI checks) so agents can safely do bounded engineering work.
• Measure and improve that workflow through throughput, defect rate, and review cost, and coach others on AI‑native practices to raise the team’s bar for agent‑driven delivery
• Set up the architecture and infrastructure to run the agent reliably, and manage configuration, environments, and secrets
• Deliver the services and interfaces around the agent in Python, Node.js/TypeScript, and React, including streaming output and extension points such as MCP

Skills

AI-native engineering

Production agents

Context engineering

Agent security

Tool design

Production engineering

Education

Bachelor's degree in CS/Engineering

Tools

LangGraph

Databricks

Sigma

Power BI

Spotfire

MCP servers

Job description

Dotmatics seeks an experienced Software Engineer (Agentic AI) to build the AI agent at the core of the Luma platform. You will own the agent end to end: reasoning, tools, memory, failure recovery, and production readiness within a small, high-trust team of engineers, product scientists, and domain experts.

This AI-native role emphasizes decomposing work for coding agents, providing context, and delivering production-quality software faster than traditional methods while maintaining strict