Junior AI/ML Engineer for Federal Tech (RAG/NLP)

Tetra Tech; McLean (VA); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) with company match

Tuition Assistance

Job summary

Halvik Corp is seeking an AI/ML Engineer to join the USPTO project. You will help develop and evaluate machine learning models, prepare datasets, implement AI solutions, and integrate intelligent systems into applications.

You will collaborate with other AI/ML engineers and professionals to solve business problems using modern AI techniques. The role emphasizes collaboration, model evaluation, and deployment within an Agile environment.

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, Math, Engineering, or related field.
• 0–4 years of experience for Junior role.
• Experience with Python, JavaScript, Java.
• Experience with AI coding harnesses or agentic software development.
• Experience with LLM engineering, prompt design, RAG, or agentic frameworks.
• Experience with MLOps concepts, CI/CD, version control, model lifecycle.

Responsibilities

• Collaborate with clients, stakeholders and cross-functional teams.
• Assist in developing and evaluating ML models and datasets.
• Support integration of AI solutions and APIs.
• Work with AI-enabled dev tools and cloud platforms.

Skills

Python

JavaScript

Java

LLM engineering

MLOps

GitHub Copilot

Claude Code

Prompt engineering

RAG integration

SQL

Education

Bachelor's degree in Computer Science or related field

Tools

Azure DevOps

GitHub

Bedrock

Job description

Halvik Corp is seeking an AI/ML Engineer to join the USPTO project. You will help develop and evaluate machine learning models, prepare datasets, implement AI solutions, and integrate intelligent systems into applications.

You will collaborate with other AI/ML engineers and professionals to solve business problems using modern AI techniques. The role emphasizes collaboration, model evaluation, and deployment within an Agile environment.