AI / Machine Learning Engineer

ITechRadiant; United States; Hybrid; USD 110,000 - 150,000; Full time

Job summary

ITechRadiant is seeking an AI/ML Engineer to design and ship practical AI features, including copilots and RAG pipelines, for production use. You will build LLM-powered workflows and secure automation tools across web and backend systems.

The role requires 2+ years in software engineering with AI/ML focus, strong Python or TS skills, and experience with vector databases. Remote-friendly with US eligibility to work.

Qualifications

• 2+ years software engineering experience, incl. 1+ year in AI/ML.
• Hands-on with LLM APIs, prompts, and vector databases.
• Strong Python or TypeScript in full-stack environments.
• Understanding of data privacy and API security.
• Eligible to work in the United States.

Responsibilities

• Design and implement AI features such as copilots, chat assistants, and workflow automation.
• Build RAG pipelines including document ingestion, embedding, retrieval, and response generation.
• Integrate OpenAI, LangChain, or similar tools into production web and backend systems.
• Evaluate model outputs for accuracy, latency, cost, and safety before release.
• Work with engineers to embed AI capabilities into existing products and APIs.
• Document architectures, prompts, and operational runbooks for maintainability.
• Stay current with emerging AI tooling and recommend practical adoption strategies.

Skills

LLM APIs

Prompt engineering

Vector databases

Python

TypeScript

Production deployment

Data privacy

API security

Full-stack

Tools

LangChain

LlamaIndex

FastAPI

AWS

Docker

Monitoring AI systems

Job description

Design and ship practical AI features—copilots, RAG pipelines, workflow automation, and LLM integrations that work in production.

We are hiring an AI / Machine Learning Engineer to help our clients and internal teams build intelligent product features that deliver measurable value. You will design LLM-powered workflows, retrieval systems, and automation tools that are reliable, secure, and ready for real users—not just prototypes.

Key Responsibilities

• Design and implement AI features such as copilots, chat assistants, and workflow automation.
• Build RAG pipelines including document ingestion, embedding, retrieval, and response generation.
• Integrate OpenAI, LangChain, or similar tools into production web and backend systems.
• Evaluate model outputs for accuracy, latency, cost, and safety before release.
• Work with engineers to embed AI capabilities into existing products and APIs.
• Document architectures, prompts, and operational runbooks for maintainability.
• Stay current with emerging AI tooling and recommend practical adoption strategies.

Requirements

• 2+ years of software engineering experience with at least 1 year focused on AI/ML applications.
• Hands-on experience with LLM APIs, prompt engineering, and vector databases.
• Strong Python or TypeScript skills and comfort working in full-stack environments.
• Understanding of data privacy, API security, and production deployment considerations.
• Ability to explain trade-offs between model quality, speed, and cost.
• Eligible to work in the United States.

Nice to Have

• Experience with LangChain, LlamaIndex, FastAPI, or similar frameworks.
• Background in NLP, data engineering, or MLOps practices.
• Familiarity with AWS, Docker, and monitoring AI systems in production.

What We Offer

• Work on cutting-edge AI products with real business use cases.
• Remote-friendly role with flexible collaboration across engineering teams.
• Room to grow into lead or architect roles as the practice expands.
• Competitive compensation based on experience.