Machine Learning / AI

Emcube Technologies Inc; Connecticut; On-site; USD 180,000 - 230,000; Full time

Job summary

Emcube Technologies Inc is seeking a Tech Lead AI Engineering to drive the architecture and development of production-grade agentic AI solutions using AWS Bedrock AgentCore. The role blends hands-on Python development with RAG pipelines, multi-agent orchestration, AWS/Terraform, AI governance, and client-facing architecture responsibilities.

The candidate will lead architecture, mentor AI/ML engineers, and act as the primary technical contact for stakeholders, ensuring robust governance,

Qualifications

• 9+ Years engineering experience including 3+ Years in Production GenAI/Agentic AI
• Experience leading AI/ML architecture and production-grade solutions
• Proficiency with AWS Bedrock AgentCore and Terraform

Responsibilities

• Lead architecture and technical direction for AWS Bedrock AgentCore solutions, including multi-agent orchestration, RAG pipelines, MCP integrations, and production Python services.
• Drive AWS infrastructure and AI engineering standards using Terraform, while establishing evaluation, observability, security, guardrails, prompt-injection defense, and governance practices.
• Lead and mentor AI/ML engineers, conduct architecture and code reviews, and serve as the primary technical contact for client and business stakeholders.

Skills

Python

AWS Bedrock

AgentCore

RAG

Multi-agent orchestration

AI governance

Production-grade AI

Education

Bachelor’s degree or higher in CS/Math

Tools

Terraform

AWS Bedrock

Git

Job description

Title: Machine Learning / AI
Location: Atlanta, GA / Hartford, CT / St. Paul, MN - Onsite
Type: Contract
Experience: 9+ Years, including 3+ Years in Production GenAI/Agentic AI

Tech Lead AI Engineering to lead the architecture and development of production-grade agentic AI solutions using AWS Bedrock AgentCore.
The role combines hands‑on Python development, RAG and multi‑agent orchestration, AWS/Terraform, AI governance, technical leadership, and client‑facing architecture responsibilities.

Key Responsibilities:

• Lead architecture and technical direction for AWS Bedrock AgentCore solutions, including multi‑agent orchestration, RAG pipelines, MCP integrations, and production Python services.
• Drive AWS infrastructure and AI engineering standards using Terraform, while establishing evaluation, observability, security, guardrails, prompt‑injection defense, and governance practices.
• Lead and mentor AI/ML engineers, conduct architecture and code reviews, and serve as the primary technical contact for client and business stakeholders.

Email: [e-mail]