AI Agent Harness Engineer (Prod) - Remote/Hybrid

HS Financial Technologies; Województwo pomorskie; Hybride; PLN 180 000 - 280 000; Plein temps

Avantages offerts par ce poste

LuxMed Premium Package

Life insurance

Employee Referral Program

Remote/hybrid working opportunities

100% funding for certifications and CP

Technical workshops and soft skills

Résumé du poste

HS Financial Technologies is seeking a senior software engineer to design, build, and operate production AI agents for financial operations and enterprise workflows.

You will own the agent runtime, orchestration, memory, tool execution, and safety controls, with a focus on secure, auditable, and scalable production pipelines. Strong Python, AWS, and LLM experience are required, along with cross-functional collaboration.

Qualifications

• Bachelor’s degree in a relevant technical field or equivalent practical experience.
• 5+ years of software engineering experience, including at least 1 year delivering LLM or agent-based applications in production.
• Strong Python, API design, asynchronous processing, automated testing, source control, and AWS engineering skills; experience with a managed model platform such as Amazon Bedrock or an equivalent service.
• Hands‑on experience implementing agent loops, context assembly, retrieval, memory, tool selection and limits, durable state, checkpoints, retries, and idempotency.
• Ability to build regression evaluations for outcomes, evidence, and tool paths; enforce least‑privilege tool access and prompt‑injection defenses; and separate model reasoning from deterministic controls.
• Strong troubleshooting, analytical, communication, and cross‑functional collaboration skills.

Responsabilités

• Runtime: Design, deploy, and support reliable production runtimes for AI agents serving financial operations and enterprise workflows.
• Orchestration: Build and extend agent loops, including context assembly, retrieval, memory, tool selection, execution limits, workflow state, and response validation.
• Controls: Enforce authorization, human approvals, policy checks, validation, checkpoints, idempotency, retries, and exception handling throughout agent workflows.
• Enterprise integration: Build validated, auditable tool and system interfaces with least-privilege permissions, prompt-injection defenses, and controls outside the model that isolate reasoning from deterministic execution.
• Evaluation: Build repeatable tests and regression suites for agent outcomes, supporting evidence, and tool‑execution paths; diagnose quality, safety, failures, latency, and cost.
• Observability: Monitor and troubleshoot production agents, maintain audit evidence, and turn operational findings into reusable engineering standards.

Description du poste

HS Financial Technologies is seeking a senior software engineer to design, build, and operate production AI agents for financial operations and enterprise workflows.

You will own the agent runtime, orchestration, memory, tool execution, and safety controls, with a focus on secure, auditable, and scalable production pipelines. Strong Python, AWS, and LLM experience are required, along with cross-functional collaboration.