обновлено 55 минут назад
AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Python/LangGraph/LangChain): Developing AI-driven solutions for advertising campaign analytics, insights, and automation with an accent on conversational agents, RAG, prompt engineering, and streaming APIs. Focus on designing graph-based agent workflows, integrating external services, and deploying reliable AI platform capabilities with testing, observability, and distributed systems.
Location: Remote or hybrid; candidates must be based in Bulgaria, Georgia, Moldova, Poland, or Ukraine
Company
delivers technology solutions for a global marketing technology platform that supports cross-channel programmatic media planning and activation.
What you will do
- Develop conversational AI agents from solution design through production deployment.
- Build AI-powered platform capabilities for advertising campaign analytics, insights, and automation.
- Collaborate with GenAI teams and cross-functional partners on practical product use cases.
- Research and evaluate advanced AI technologies for product development.
- Integrate external APIs and services into AI-driven solutions.
- Participate in pager duty rotations as needed.
Requirements
- Strong hands-on experience with Python, FastAPI, asynchronous programming, SQLAlchemy, and Pydantic.
- Experience with TypeScript and Nest.js.
- Experience designing AI agents with LangGraph or LangChain, including graph-based workflows, tool calling, structured outputs, and checkpointing.
- Knowledge of LLM engineering, RAG, prompt engineering, guardrails, observability, and tracing.
- Experience with REST APIs, SSE or WebSockets, SQL, PostgreSQL, data modeling, and automated testing with pytest or Jest.
- English proficiency at B1 level or higher.
Nice to have
- Experience with vector databases, columnar data warehouses, AWS, or boto3.
- Familiarity with MCP, A2A, text-to-SQL, LLM observability tools, feature-flagging platforms, or AI-assisted development tools.
- Knowledge of distributed systems, microservices, caching, API routing, or multi-agent orchestration.
Culture & Benefits
- Flexible work options, including remote and hybrid opportunities.
- Technical and non-technical training, internal conferences, and meetups.
- Professional mentorship and support from experienced employees.
- Health insurance and sports activities.
- Referral program, work anniversary program, and additional vacation days.
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