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:
About LoopMe:
Do you want to work with patented AI technology and develop high-performance solutions? If so, we have the perfect job for you at LoopMe!
We are a global team of skilled engineers who develop and maintain real-time bidding platforms for leading advertisers worldwide. Leveraging technologies such as Java, Postgres, Clickhouse, Kafka, you will be instrumental in scaling performance, optimizing cloud infrastructure, and creating innovative features across our product portfolio.
As the market leader in AI, LoopMe uses agile methodology to deliver product features at a fast pace. Join us and be a part of our mission to push the boundaries of what is possible in the advertising industry!