Senior AI Platform Engineer

Senior AI Platform Engineer

Position Type:
Full-time (Onsite)

Intelmatix is a deep tech Artificial Intelligence (AI) company founded in July 2021 by a group of MIT scientists with the vision of transforming enterprises to become cognitive. A cognitive enterprise is one that uses AI and Decision Intelligence in making their decisions. This leads to better business decisions with improved accuracy, reduced errors, and better outcomes across various aspects of the business.

We are seeking a Senior AI Platform Engineer to join our Platform team. You will design and build the core platform infrastructure that powers EDIX, our enterprise Decision Intelligence product — spanning foundational platform services, API layers, and AI-powered capabilities including agentic frameworks, retrieval pipelines, and LLM orchestration. This is a hands‑on engineering role where you own the systems that make EDIX work.

The ideal candidate is first and foremost a strong platform engineer — someone who builds scalable, well‑architected systems — with deep experience applying that skill to AI‑powered products. You understand the full stack from API gateways and service orchestration through to LLM integration and containerized deployment on AWS/GCP. The candidate must have a track record of building and operating production AI systems — not prototypes, not POCs — real systems serving real users under real constraints.

• Design, develop, and maintain the core platform services that power EDIX
• Implement foundational platform components: API gateways, service orchestration, configuration management
• Build shared infrastructure: dynamic configuration, service discovery, inter-service communication

• Design abstraction layers (factory patterns) for vector stores, LLMs, and other AI components
• Support multiple backend implementations (Open Search, Pinecone, pgvector)
• Build and optimize retrieval pipelines across vector databases, graph databases, and embedding stores
• Implement agentic frameworks and orchestration patterns (Lang Graph, Lang Chain, 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)

• 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

• 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

• Work with the AI Platform Lead on architecture decisions and technical direction
• Support the Delivery team with platform capabilities for client engagements
• Coordinate with Dev Ops on deployment, scaling, and infrastructure optimization
• Collaborate with Data Science and ML teams to product ionize models as platform services

Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.

Minimum of 6 years in software engineering, with at least 3 years experience in platform development and platform‑wide solutions and at least 1 year working with AI/Gen‑AI systems in production.

• Strong proficiency in Python; additional experience in Java, Go, or Type Script is a plus
• Strong understanding of system design, platform architecture, distributed systems, and data modeling
• Strong API development skills (REST, async patterns, Web Sockets) and experience designing platform APIs consumed by multiple teams
• Experience with cloud platforms and infrastructure — AWS preferred (Lambda, SQS, Open Search, RDS, Bedrock, S3)
• Experience with agentic frameworks (Lang Chain, Lang…