Senior AI Platform Engineer
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Key skills for this role
About the Role
Design and develop core platform services, APIs, and AI infrastructure while ensuring quality standards and collaborating with teams using Python and cloud technologies.
Key Skills for This Role
Full Job Posting
Platform Development
- Design, develop, and maintain the core platform services that power EDIX
- Build and maintain Platform APIs (Chat Router, OCR, classification, extraction)
- Implement foundational platform components: API gateways, service orchestration, configuration management
- Build shared infrastructure: dynamic configuration, service discovery, inter-service communication
- Develop integrations with enterprise systems (SAP, customer databases) and third-party providers
Ai Infrastructure & Stores
- Design abstraction layers (factory patterns) for vector stores, LLMs, and other AI components
- Support multiple backend implementations (OpenSearch, Pinecone, pgvector)
- Build and optimize retrieval pipelines across vector databases, graph databases, and embedding stores
- Implement agentic frameworks and orchestration patterns (LangGraph, LangChain, or similar)
- Support multiple LLM providers (AWS Bedrock, OpenAI, Anthropic) through unified interfaces
- Build data pipelines for document and media processing (ingestion, chunking, embedding, indexing)
Platform Apis & Services
- Develop and maintain highly-available API endpoints (RESTful, async patterns)
- Serve platform capabilities to both internal teams and client-facing products
- Implement error handling, retry logic, caching strategies, and fallback patterns
- Optimize latency and throughput for both traditional and AI inference workloads
- Design APIs with extensibility and multi-tenancy in mind
Quality & Standards
- Write clean, well-tested, documented code with comprehensive unit and integration tests
- Participate in code reviews and contribute to technical documentation and runbooks
- Establish and enforce engineering standards for the platform codebase
Collaboration
- Work with the AI Platform Lead on architecture decisions and technical direction
- Support the Delivery team with platform capabilities for client engagements
- Coordinate with DevOps on deployment, scaling, and infrastructure optimization
- Collaborate with Data Science and ML teams to productionize models as platform services
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