Trách nhiệm chính

• Design, build, and operate LLM-powered features end-to-end, including agents with tool or function calling, RAG over internal data and documents, and structured outputs, integrating them into Go microservices over gRPC/REST.
• Build evaluation into every AI feature: offline eval sets, regression tests, LLM-as-judge where it fits, and monitor quality, latency, and cost in production.
• Own AI safety and data governance: scope data access by user permissions, expose only allowlisted fields to models, defend against prompt injection, and handle sensitive data correctly.
• Build data and algorithm pipelines on event streams (Kafka/CDC) and relational data, backtest recommendations against historical data before go-live.
• Build and maintain high-throughput, mission-critical Go services in a microservice, event-driven architecture.
• Tune performance across services, databases, and caches; troubleshoot production incidents and drive refactoring.
• Write clean, tested, maintainable code; review code and raise the engineering bar of the team.
• Use AI coding agents daily across the development lifecycle: spec, code, test, review, debug.
• Build internal tools, prompts, and workflows that make the whole team faster while keeping quality under control.
• Work with Product Owners, business and operations teams to turn vague problems into measurable AI solutions.
• Explain model results and trade-offs in plain business language.

Yêu cầu

• Bachelor's degree in Computer Science, IT or equivalent.
• 4+ years of backend development, including at least 3 years building production Go applications.
• Strong distributed-systems fundamentals: microservices, event-driven architecture, Kafka or a similar message broker, gRPC/REST, concurrency and parallel programming.
• Solid database skills: PostgreSQL (query design, indexing, performance tuning), at least one NoSQL database, and distributed caching such as Redis.
• Hands‑on experience shipping at least one LLM-based feature to production, not only a prototype, including prompt design, tool or function calling, RAG and structured outputs, and a clear understanding of limits such as hallucination, latency, token cost.
• Hands‑on experience with agent frameworks, Model Context Protocol (MCP) and multi‑agent systems, and with vector search (e.g. pgvector) for retrieval.
• A measure‑first mindset: prove an AI or algorithm change with data and evaluation before calling it done.
• Good data skills (SQL, Python) to analyse data, build datasets and run backtests.
• Ability to drive technical solutions independently and troubleshoot complex issues with minimal supervision.
• Daily use of AI coding tools (e.g. Claude Code, Cursor, Copilot) and good judgement on when to trust their output.
• Good cross‑team communication skills.

Yêu cầu ưu tiên

• Classic ML or optimisation (forecasting, recommendation, operations research).
• Big‑data and OLAP technologies (e.g. BigQuery, ClickHouse).
• Docker, Kubernetes and cloud platforms (GCP, AWS).
• Frontend work with React/TypeScript when needed.
• Domain knowledge in logistics, payroll or compensation systems.

Mức lương

• Thỏa thuận.

Phúc lợi

• 13th-month salary, performance bonuses, and KPI bonuses.
• Health insurance, Social insurance, and Unemployment insurance.
• Medical insurance.
• Annual health checkup.
• Annual salary reviews.
• Annual team building/company trip.
• Ongoing internal and external training opportunities.

Thông tin khác

• Top 3 reasons to join us: User-first mindset, solving real needs with impact; Data-driven culture, decisions backed by insights; Safe space to innovate, fail fast and grow faster.