AI/ ML Engineer

Tech3pillars Technologies; Alaska; On-site; USD 140,000 - 190,000; Full time

Job summary

Tech3pillars Technologies seeks an AI/ML Engineer in Boston (onsite) to develop AI-driven solutions and deploy scalable systems. You will work with generative AI models, ensure reliability and compliance, and collaborate with cross-functional teams to improve platform performance.

Ideal candidates have 5+ years in software development with React/JavaScript/TypeScript, experience in Lang Graph, RAG, MCP style integrations, and strong knowledge of CI/CD pipelines and container deployments.

Qualifications

• 5+ years of software development experience

Responsibilities

• Develop, deploy, and refine AI-driven solutions with generative AI models
• Ensure AI systems meet reliability, explainability, observability, and regulatory standards
• Design end-to-end production AI systems integrating ML models, LLMs, and services into scalable apps
• Collaborate with cross-functional teams to address technical challenges and optimize platform performance

Skills

React

JavaScript/TypeScript

Lang Graph

RAG

MCP style integrations

Generative AI & prompt engineering

CI/CD pipelines

Containerized deployments

Job description

Job Title: AI/ ML Engineer

Location: Boston, MA- Onsite

Job Description-

Develop, deploy, and refine AI-driven solutions, integrating generative AI models

Ensure AI systems meet enterprise standards for reliability, explainability, observability, and regulatory compliance, proactively identifying improvements

Design and build end-to-end production AI systems, integrating machine learning models, LLMs, and supporting services into scalable applications

Collaborate with cross-functional teams to address advanced technical challenges and optimize platform performance

Minimum Qualifications

5+ years of experience in software development and working with React and JavaScript/Typescript

Experience with Lang Graph, RAG, or MCP style integrations

Experience with generative AI and prompt engineering

Experience in continuous integration/continuous deployment pipelines and containerized deployments

Strong attention to detail and commitment to high quality solutions