ai engineer for AI-assisted software delivery

Paysend is transforming how people and businesses move money around the world. Its products and services help millions of customers stay connected globally.

• Design end-to-end AI-assisted delivery workflows, including agent responsibilities, execution boundaries, decision points, human intervention, failure handling, recovery, and escalation
• Design and refine AI-driven pipelines that automate coding, code review, testing, and deployment
• Build and optimise agentic workflows using Claude Code and the Anthropic API, including custom tooling, MCP server integrations, sub-agents, and stateful orchestration logic
• Engineer robust prompts, benchmark suites, and automated evaluation datasets; measure and improve pipeline accuracy, latency, and API costs
• Define workflow-specific success criteria and operational evidence, including correctness, reliability, intervention and escalation rates, failure modes, and recovery effectiveness
• Integrate Anthropic capabilities into internal developer platforms, including tool use, structured outputs, prompt caching, and batch processing
• Handle production work including sandboxed execution, strict error handling, retries, observability, guardrails, and edge cases
• Own systems after implementation by observing their behaviour in engineering workflows, investigating failures and incorrect behaviour, and improving them based on operational evidence
• Partner with engineers across the organisation to identify automation opportunities and safely roll out agentic tools with human-in-the-loop review

• Strong software engineering background and experience designing, building, and operating production systems
• Strong hands-on experience with Python or TypeScript
• Ability to decompose end-to-end engineering workflows and identify decision boundaries, failure modes, dependencies, observability needs, and recovery paths
• Hands-on experience with Claude Code beyond casual experimentation, including its strengths, limitations, and configuration (CLAUDE.md, sub-agents, hooks)
• Experience building with LLM APIs, including prompt engineering, tool/function calling, structured outputs, context window optimisation, agentic loops, and evaluation
• Familiarity with MCP server integration and custom workflows
• Experience turning prototypes into production systems, including CI/CD integration, containerized execution, reliability engineering, and monitoring
• Pragmatic judgment about where AI automation helps and where deterministic logic or human oversight is needed
• Будет плюсом: experience with agent orchestration frameworks or custom agent harnesses/tooling, a track record shipping internal developer platforms or CLI tooling, contributions to open-source AI frameworks, developer tools, or MCP servers

• Applicants from outside Serbia are welcome; quarterly meetings at the Engineering Hub in Belgrade are expected