Senior AI Engineer – Agentic Platform
Core
Build and scale a headless, MCP-native Agentic Platform that serves as a reusable intelligence layer for enterprise software in packaging and manufacturing, enabling AI agents to call business logic across products.
Role type
Senior IC AI Engineer (Agentic Platform)
Builds
A production-grade agentic platform with orchestration, RAG, and governed data access capabilities for enterprise software products.
Domain
Enterprise Software / Manufacturing & Packaging / Generative AI
Deliverable
production ML models | product features
Required skills
Python, LLM orchestration, agent frameworks (LangChain/LangGraph), RAG pipelines, vector databases, AWS cloud infrastructure, MLOps, model inferencing optimization, Docker, CI/CD
Preferred skills
Model Context Protocol (MCP), classical ML engineering, feature stores, model registries
Technologies
LangChain, LangGraph, Model Context Protocol (MCP), AWS (Lambda, ECS/EKS, SageMaker), OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Docker, Git
Responsibilities
Build business logic independent of UI for human and AI consumption; Implement LLM orchestration layers and agent workflows; Build and tune RAG pipelines for data grounding; Develop governed on-prem data access agents with audit trails; Deploy and monitor agents on AWS with cost controls; Partner with product teams to scale the platform pattern; Bridge agentic work with classical ML engineering practices.
Seniority
Senior, hands-on IC with technical direction
