AI Platform Senior Software Engineer

About the team:

The AI Platform team is a newly formed, high-impact group responsible for driving AI adoption across the entire organization. Reporting to a Team Lead, you will join a team of 4 engineers building cutting-edge AI solutions from the ground up. This is a unique opportunity to shape the AI strategy and tooling that will transform how the company operates.

The role:

As a Senior Software Engineer on the AI Platform team, you will design, build, and deploy production-grade AI systems that enhance productivity and decision-making across all business units. You will be a technical expert and advocate for agentic AI solutions, enabling engineering teams company-wide to leverage AI effectively.

Key Responsibilities:

•       Design and build Retrieval-Augmented Generation (RAG) systems to provide intelligent, context-aware solutions for internal and external use cases

•       Develop AI agents that automate workflows and enhance business processes across the organization

•       Serve as an internal expert on agentic AI, guiding and mentoring engineering teams on best practices for building and integrating AI agents

•       Evaluate, integrate, and deploy the latest AI technologies, frameworks, and models to keep the company at the forefront of innovation

•       Collaborate cross-functionally with product, engineering, and business stakeholders to identify high-impact AI opportunities

•       Contribute to architectural decisions and help shape the technical direction of the AI Platform

Required Qualification:

•       5+ years of software engineering experience with strong proficiency in Python, TypeScript, or Java

•       Experience with databases, both relational (e.g., PostgreSQL, MySQL) and non-relational (e.g., MongoDB, Redis, Aerospike)

•       Experience building and deploying HTTP-based applications and APIs in production environments

•       Hands-on experience building RAG systems and working with vector databases (e.g., Pinecone, Weaviate, Milvus, Qdrant, pgvector)

•       Proven experience developing AI agents using frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar

•       Hands-on agentic coding experience (e.g., Claude Code, Cursor, GitHub Copilot Workspace, or similar AI-assisted development tools)

•       Experience with MCP (Model Context Protocol) or similar agent communication standards

•       Strong understanding of prompt engineering, context engineering, and LLM optimization techniques

•       Experience with modern LLM APIs (OpenAI, Anthropic, Google, open-source models)

•       Excellent communication skills with the ability to explain complex AI concepts to technical and non-technical audiences

•       Demonstrated ability to work cross-functionally and drive alignment across teams

Nice to Have:

•       Background in adtech or real-time bidding systems

•       Familiarity with MLOps practices and model deployment pipelines

•       Contributions to open-source AI projects or active participation in AI communities

Why Join Us:

•       Build complex AI systems from scratch that directly impact company-wide performance

•       Work with the latest AI technologies and shape how the organization adopts them

•       High visibility role with direct collaboration across all business units

•       Join a small, agile team where your contributions have outsized impact

•       Hybrid work environment with flexibility

Benefits:

• Competitive compensation package
• International work environment
• Flexible working schedule and the possibility to work remotely
• Annual performance bonus
• English classes
• Maternity/Paternity leave