ПольшаLead AI Engineer (Digital Marketing sphere)
3 нед. назад
ПольшаLead
pythonfastapisqlalchemypydantictypescriptnestjsrest apissql
Lead AI Engineer providing technical leadership for AI-driven digital marketing solutions with focus on conversational agents and platform capabilities.
Обязанности
- Lead and mentor two GenAI teams developing conversational agents, manage team roadmaps, foster team collaboration, and oversee project delivery;
- Develop and implement innovative AI-driven solutions to advance platform capabilities;
- Collaborate with stakeholders, including developers, product managers, and business operations teams, to align goals and deliverables;
- Lead the development of conversational agents from concept through production deployment;
- Research advanced AI technologies and integrate external APIs and services into AI-driven solutions;
Требования
- Bachelor’s degree in Computer Science or a related field;
- 3+ years of experience leading engineering teams;
- 6+ years of experience building customer-facing full-stack applications;
- 2+ years of hands-on experience with Python, including FastAPI, asynchronous programming, SQLAlchemy ORM, and Pydantic;
- Experience with TypeScript and NestJS;
- Experience designing and implementing AI agents using LangGraph and/or LangChain, including graph-based workflows, tool calling, structured outputs, and checkpointing;
- Strong understanding of LLM concepts and AI engineering practices, including RAG, prompt engineering, LLM parameters, guardrails, observability, and tracing;
- Understanding of machine learning concepts, including models, model validation, and feature engineering;
- Experience designing REST APIs and implementing streaming responses using SSE and/or WebSockets;
- Experience working with SQL and NoSQL databases, including relational databases such as PostgreSQL;
- Experience with automated testing using pytest, Jest, and/or evaluation tests for AI systems;
- Familiarity with distributed system design, microservices, caching, API routing, and multi-agent orchestration;
- Proactive and collaborative mindset, with a passion for making an impact on engineering teams, products, and customers;
- Good written and spoken English at B2 level or higher;
- Willingness to participate in pager duty rotations as needed;
Будет плюсом
- Experience with vector databases;
- Familiarity with columnar data warehouses such as Vertica or similar platforms;
- Experience with AWS and boto3;
- Experience with MCP, A2A, or text-to-SQL solutions;
- Familiarity with feature-flagging platforms such as Unleash or LaunchDarkly;
- Experience using AI-assisted development tools such as Claude Code;
Условия
- The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Другое
- Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.
- The project focuses on developing AI-driven solutions for advertising campaign analytics, insights, and automation. The Lead AI Engineer will provide technical leadership across two GenAI teams working on conversational agents and platform capabilities.
- Python, FastAPI, SQLAlchemy, Pydantic
- TypeScript, NestJS
- REST APIs, SSE, WebSockets
- Core LLM concepts, prompt engineering, reasoning strategies, RAG, structured outputs, tool calling
- Agentic and graph-based workflows, multi-agent orchestration
- SQL, relational databases, PostgreSQL, data modeling
- Microservices, API routing, caching
- pytest, Jest, LLM evaluation tests