Software Engineer - AI Products Agent Prototype/Building (NL)

Location: Remote, Netherlands (NL)

Company

hirify.global provides a platform for quality manufacturing, life sciences, public health, forensics, and environmental sciences.

What you will do

• Design and build agent runtimes with planning and execution loops, tool calling, state management, durable execution, failure recovery, coordination, and reusable primitives.
• Build production agents for domain workflows, grounding decisions in authoritative enterprise data and implementing human approval gates, overrides, uncertainty handling, and evidence capture.
• Create evaluation harnesses and production metrics for task completion, tool-call correctness, groundedness, trajectory quality, reliability, latency, cost, and human intervention.
• Implement guardrails, fallbacks, timeouts, cost ceilings, observability, tracing, and safeguards against prompt injection, unsafe tool use, excessive permissions, and data leakage.
• Integrate agents with platform APIs and third-party enterprise systems, including retrieval and permission-aware context pipelines with complete audit trails.
• Build and operate backend services and infrastructure on AWS, contribute to system architecture, infrastructure-as-code, and deployment pipelines.

Requirements

• 6+ years of software engineering experience, including production systems.
• Production experience with LLM systems, tool-using or multi-step agentic workflows, LLM APIs, function calling, and planning and execution loops.
• Strong understanding of LLM behavior, limitations, failure modes, and non-deterministic system evaluation and debugging.
• Solid backend and cloud experience with AWS or an equivalent platform.
• Proficiency in TypeScript and/or Python.
• Ability to own production systems end to end and make tradeoffs between accuracy, latency, reliability, and cost.

Nice to have

• C# and Microsoft .NET Framework experience.
• MCP and other tool or interoperability protocols.
• Agent evaluation pipelines, retrieval and grounding techniques, or workflow and durable-execution platforms.
• Experience with regulated or domain-heavy systems, validation, audit trails, and controlled change.
• Containerization, orchestration, and infrastructure-as-code with Terraform or similar tools.

Culture & Benefits

• Work on AI capabilities for quality manufacturing, life sciences, public health, forensics, and environmental science workflows.
• Build systems where accuracy, traceability, validation, observability, and controlled behavior are essential.
• Use TypeScript, Python, AWS Lambda, API Gateway, DynamoDB, Step Functions, OpenAI, Anthropic, MCP, React, Next.js, Terraform, Jest, Playwright, and pytest.