2 days ago
Kraków, Poland or Gdańsk, PolandSenior
Responsibilities
- Design, deploy, and support reliable production runtimes for AI agents serving financial operations and enterprise workflows.
- Build agent loops covering context assembly, retrieval, memory, tool selection, execution limits, workflow state, and response validation.
- Implement authorization, human approvals, policy checks, validation, checkpoints, idempotency, retries, and exception handling.
- Build validated and auditable tool and system interfaces with least-privilege permissions, prompt-injection defenses, and separation between model reasoning and deterministic execution.
- Develop repeatable regression evaluations for agent outcomes, supporting evidence, and tool-execution paths.
- Monitor and troubleshoot production agents, maintain audit evidence, and convert operational findings into reusable engineering standards.
Requirements
- Bachelor’s degree in a relevant technical field or equivalent practical experience.
- At least 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 with agent loops, context assembly, retrieval, memory, tool selection and limits, durable state, checkpoints, retries, and idempotency.
- Ability to build regression evaluations, 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.
- Preferred qualifications include financial services or regulated-environment experience, model or tool gateways, MCP, multi-agent systems, durable workflow engines, secure tool execution, containers, infrastructure as code, CI/CD, observability platforms, responsible AI, governance, model risk management, regulatory controls, shared AI platforms, mentoring, reusable engineering standards, and relevant AWS, cloud engineering, AI, security, or data certifications.
Benefits
- Remote and hybrid working opportunities, or working from the office.
- Fully paid comprehensive health and well-being benefits, including the LuxMed Premium Package.
- Life insurance and travel insurance.
- MyBenefit Platform and Employee Referral Program.
- 100% funding for certifications and postgraduate studies accredited by ACCA, CIMA, and IOB.
- Technical workshops, soft skills training, and a Sports and Social Club.
Categories
About HedgeServ
HedgeServ provides fund administration and middle- and back-office services for alternative asset managers, delivered through a proprietary platform plus staffed operations. Offerings span fund accounting, investor services, risk and compliance, data aggregation, and portfolio reporting across hedge funds, private equity, private credit, real estate, and other vehicles. Founded in 2008 and headquartered in Dallas, it is privately held with more than $700 billion in assets under administration and offices across North America, Europe, and Asia-Pacific.