AI Engineering Manager (Digital Marketing sphere)

Company Background

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.

Project Description

The project focuses on developing AI-driven solutions for advertising campaign analytics, insights, and automation.

The AI Engineering Manager will provide technical leadership across two Gen AI teams working on conversational agents and platform capabilities.

• Technologies
• Python, Fast API, SQLAlchemy, Pydantic
• Type Script, Nest JS
• REST APIs, SSE, Web Sockets
• Core LLM concepts, prompt engineering, reasoning strategies, RAG, structured outputs, tool calling
• Agentic and graph-based workflows, multi-agent orchestration
• SQL, relational databases, Postgre SQL, data modeling
• Microservices, API routing, caching
• pytest, Jest, LLM evaluation tests

What You'll Do

• Lead and mentor two Gen AI 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;
• Job Requirements
• 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 Fast API, asynchronous programming, SQLAlchemy ORM, and Pydantic;
• Experience with Type Script and Nest JS;
• Experience designing and implementing AI agents using Lang Graph and/or Lang Chain, 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;
• Experience designing REST APIs and implementing streaming responses using SSE and/or Web Sockets;
• Experience working with SQL and No SQL databases, including relational databases such as Postgre SQL;
• 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;
• Nice To Have
• 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 Launch Darkly;
• Experience using AI-assisted development tools such as Claude Code;
• What Do We Offer
• 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.
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