3 days ago
Sofia, BulgariaSenior
Responsibilities
- Design, deploy, and support reliable production runtimes for AI agents serving financial operations and enterprise workflows.
- Build and extend agent loops covering context assembly, retrieval, memory, tool selection, execution limits, workflow state, and response validation.
- Implement authorization, human approvals, policy checks, checkpoints, idempotency, retries, exception handling, and other workflow controls.
- Build validated and auditable tool and system interfaces with least-privilege permissions and prompt-injection defenses.
- Create repeatable regression tests and evaluations for agent outcomes, supporting evidence, and tool-execution paths.
- Monitor and troubleshoot production agents, maintain audit evidence, and establish reusable engineering standards and best practices.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent practical experience.
- Typically 5+ years of software engineering experience, including production delivery of LLM- or agent-based applications.
- Experience with Python, API design, asynchronous processing, automated testing, source control, AWS engineering, and 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.
- Experience implementing regression evaluations, secure access controls, prompt-injection defenses, and deterministic operational safeguards.
- 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; containers; infrastructure as code; CI/CD; observability platforms; responsible AI; governance; model risk management; regulatory controls; and experience mentoring engineers or building shared AI platforms.
- Relevant AWS, cloud engineering, AI, security, or data certifications are valued but not required.
Benefits
- Attractive compensation package with platinum health insurance, sport membership, food vouchers, and an employee assistance program.
- 25 vacation days per year, plus one additional day for each year with the company up to three additional days.
- Flexible working hours and locations, including work-from-home availability.
- Professional development opportunities and a tuition reimbursement budget of up to 1000 EUR.
- Inclusive, collaborative, startup-like environment within an established and profitable company.
- Remote and hybrid working arrangements and fully paid comprehensive health and well-being benefits.
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.