14 часов назад
AI Fullstack Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Fullstack Engineer (LLMs/RAG): Building agent-first, AI-native capabilities for logistics optimization across backend services, frontend experiences, data, and infrastructure with an accent on LLM-driven agents, simulation-led workflows, and human-in-the-loop interfaces. Focus on designing agent orchestration, productionising AI systems, and delivering observable, secure, and testable product features.
Location: Colombo, Western Province, Sri Lanka
Company
develops enterprise software solutions powered by AI, including logistics optimization products for global supply chains.
What you will do
- Design and build LLM-powered agents for planning, optimization, and decision-making workflows.
- Develop agent orchestration patterns, including tools, memory, evaluation, guardrails, structured prompting, and RAG pipelines.
- Use simulation, synthetic data, scenario replay, and state machines to design and validate AI workflows.
- Build end-to-end product features across Python and TypeScript backend services, REST or GraphQL APIs, and React interfaces.
- Create human-in-the-loop experiences for review, override, and explainability.
- Own production systems, focusing on performance, reliability, observability, security, compliance, infrastructure-as-code, and CI/CD.
Requirements
- At least 5 years of relevant hands-on industry experience.
- Strong fullstack engineering skills with deep backend capability and experience owning systems from concept to production.
- Production experience with Python and Django for backend systems.
- Hands-on experience with LLMs, RAG systems, embeddings, vector search, and agentic patterns.
- Experience productionising ML or AI systems, including monitoring, failure-mode management, and iteration.
- Comfort working in small, high-ownership teams and collaborating with Product, Design, and engineering colleagues.
Nice to have
- Experience in logistics, optimization, or simulation-heavy domains.
- Background in data engineering or ML platforms.
- Experience building developer tools or internal platforms.
- Exposure to regulated or security-conscious environments.
Culture & Benefits
- Work in a global and diverse environment focused on collaboration, autonomy, technical depth, and design-led thinking.
- Contribute to AI, simulation, and human-expertise solutions addressing cost, emissions, and complexity in global supply chains.
- Flexibility and hybrid work opportunities are supported to accommodate different needs and lifestyles.
- Inclusive workplace practices emphasize community, innovation, and meaningful collaboration.
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