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High — mid-level, metro AI role with strong Vista-backed brand and broad LLM/ML skill demand.
Medium — core LLM and ML engineering skills transfer, but manufacturing/ERP and agent-specific experience preferred.
High — explicit 6+ years and mandatory LLM production, AWS, RAG and agent-framework technical requirements.
Own the design and technical direction of the Agentic Platform that enables AI-driven workflows across multiple Amtech software products.
Develop and maintain headless, MCP-native AI orchestration and data access layers that ensure governed, real-time interactions with enterprise data.
Deploy, monitor, and optimize AI agents and inference endpoints on AWS, ensuring scalability, cost control, and integration with product teams and engineering functions.
Bachelor's Degree in Computer Science, Software Engineering, Data Science, or related field.
6+ years of software engineering experience, including 2+ years building production systems with large language models.
Strong Python programming skills and hands-on experience with major LLM APIs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock).
Proven experience deploying and operating production workloads on AWS (Lambda, ECS/EKS, S3, IAM, CloudWatch).
Experienced in setting technical direction and acting as a technical reference for engineering teams without formal management.
Skilled in building reusable AI agent platforms and integrating agentic AI frameworks like LangChain or LangGraph into enterprise products.
Comfortable working with production AI systems involving governed customer data, with fluency in ML engineering and MLOps practices for collaboration with data science and operations teams.