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Senior AI Engineer
Skills
APIAgentic AI DevelopmentArtificial IntelligenceLarge Language ModelsModel Context ProtocolPythonRetrieval-Augmented Generation
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in Computer Science Engineering or related field or equivalent practical experience
- 5+ years of professional software engineering experience
- At least 2 years focused on production AI/LLM application development
- Strong Python proficiency and solid software engineering fundamentals
- Deep backend engineering experience with production services and APIs
- Hands-on experience building and deploying agentic AI systems
- Experience integrating LLM APIs into production applications
- Experience building and maintaining RAG pipelines and vector search systems
- Working knowledge of Model Context Protocol and tool-calling patterns
- Experience designing and running LLM evaluation frameworks
- Experience building AI infrastructure on a major cloud platform
- Strong written and verbal communication skills
Nice to have
- Compliance-minded
- Backend-focused
- Hands-on builder
- Production-oriented
- Collaborative
Day to day
- Design and build production-grade agentic AI systems with multi-agent orchestration, memory, context management, and tool-calling.
- Develop MCP servers and tool integrations that connect AI agents to platform APIs and partner systems.
- Orchestrate LLMs and RAG pipelines to deliver compliant refund solutions with strong guardrails, evaluation, and observability.