Software Engineer, Agentic AI

Our Why At Dotmatics

At Dotmatics, a Siemens company, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, SoftGenetics and Virscidian.

We have created the world's most comprehensive digital science platform, used by more than 2 million scientists, in a single ecosystem united by a powerful, flexible enterprise data platform. Our global team of more than 800 colleagues supports customers in over 180 countries.

We are Science Driven. We are Customer Centric. We are Better Together.

What do we need

We are looking for an experienced and highly skilled Software Engineer (Agentic AI) to build the AI agent at the core of the Dotmatics Luma platform. You will own the agent end to end: how it reasons, which tools it uses, what it remembers, how it recovers from failure, and how we know it is working. You will work in a small, high-trust engineering team alongside Product, scientists, and the wider Dotmatics organisation.

This is also an AI-native engineering role. Your success will come from how well you decompose work for coding agents, give them the right context, tools, and constraints, verify their output with tests and review, and ship production software faster than a traditional senior engineer without lowering the quality bar. You stay accountable for architecture, correctness, security, and review.

In this role you will get to

• Develop the agent itself: the 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 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), and build and maintain the team's agent harness for development itself (project memory, skills, hooks, MCP, CI checks).
• Measure and improve that workflow through throughput, defect rate, and review cost, and coach others on AI-native practices.
• 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.

We are looking for people who

Have around 10 years of experience in software engineering, including hands-on experience building LLM-powered agents in production. Ideally you will have a degree or higher education in Computer Science, Engineering, or a related technical field, and an interest in life sciences, lab instrumentation, or automation.

Key Skills

• AI-native engineering: autonomous coding agents (Cursor, Claude Code, Codex, or equivalent) as the primary way you build.
• Production agents: at least one LLM-powered agent shipped to real users, handling multi-step tool use, error recovery, and long-running tasks.
• Context engineering, memory, and retrieval: a long-running LLM application where you can explain what went into the window, when it was compacted, and how coherence and retrieval quality (RAG, vector indexes, reranking) were measured.
• Agent security: permissions, sandboxing, human approval gates, prompt injection defenses, and audit logging, tested against adversarial inputs.
• Tool and API design for models: tools or MCP servers built for model use, with tool-selection and call accuracy measured.
• Production engineering: Python with type checking, automated tests, and packaging in CI, plus Node.js/TypeScript and React services and interfaces, including streaming output, with monitoring, tracing, and managed configuration and secrets.

You may also have

• Experience with agent frameworks such as LangGraph, or building custom harnesses from scratch.
• Working knowledge of Databricks and BI tools (Sigma, Power BI, Spotfire).
• Observability for LLM systems (tracing, cost and latency monitoring).
• Fine-tuning, prompt optimization, or model evaluation experience.
• Authored skills, hooks, or MCP servers that made agent-driven delivery repeatable for a team.

We are open to speaking to candidates with more or less experience than listed. The compensation for different levels can be discussed with your recruiter.

Total Rewards

Dotmatics utilises a national market-based approach to base pay benchmarking and pay band development. The candidate's final starting pay is based on job-related skills, experience, job specific qualifications and location. Certain positions are also eligible for variable pay.

• Medical, Dental, Vision, Insurance
• Health Spending Accounts
• Wellness Benefits (Mental Health Apps and Fitness Perks)
• Company-paid Life and Disability Insurance
• 401k Retirement Plan (with 4% company match; immediate vesting)
• Flexible Time off Plan (for US exempt employees)

This is the range that we, in good faith, believe is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range.

Dotmatics is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work.