Senior AI Agent & Harness Engineer (Production)

HS Financial Technologies; Kraków; Hybrid; PLN 260,000 - 420,000; Full time

Benefits offered by this job

LuxMed Premium Package

Life insurance and travel insurance

Employee Referral Program

Remote/hybrid working opportunities,or

100% funding for certifications and 0

Job summary

HS Financial Technologies is seeking an experienced AI Engineer to design, build, and operate production AI agents for financial operations and enterprise workflows. You will own the agent runtime, orchestration, controls, evaluation, and observability, ensuring secure, auditable, and compliant AI deployments.

You will bring strong software engineering skills, hands-on production LLM experience, and the ability to establish reusable patterns across HSFT engineering teams, collaborating across

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.

Responsibilities

• 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.

Skills

Python

API design

Asynchronous processing

Automated testing

Source control

AWS engineering

LLM/agent production

Troubleshooting

Cross-functional collaboration

Education

Bachelor's degree in a technical field

Tools

Amazon Bedrock

CI/CD tooling

Containers

Infrastructure as Code

Job description

HS Financial Technologies is seeking an experienced AI Engineer to design, build, and operate production AI agents for financial operations and enterprise workflows. You will own the agent runtime, orchestration, controls, evaluation, and observability, ensuring secure, auditable, and compliant AI deployments.

You will bring strong software engineering skills, hands-on production LLM experience, and the ability to establish reusable patterns across HSFT engineering teams, collaborating across