Junior AI/ML Software Engineer

Role Description

Guidehouse Technology is seeking a curious, motivated entry-level AI/ML Software Engineer to support federal clients. This role is ideal for early-career technologists who are eager to learn by doing and contribute to real-world AI and machine learning solutions.

You will work alongside experienced data scientists, software engineers, and domain experts to design, build, and deploy AI-enabled applications that advance government mission needs. With mentorship and hands-on experience, you will help deliver solutions such as chatbots, search and retrieval systems, data pipelines, and emerging agent-based workflows. The role emphasizes strong engineering fundamentals and responsible use of Generative AI coding assistants to improve productivity and code quality.

Key Responsibilities

• Support development and testing of AI-enabled applications, including Retrieval-Augmented Generation (RAG), chatbots, semantic search, and early-stage agentic workflows.
• Help build and maintain data pipelines for ingesting, cleaning, transforming, and preparing data for model use.
• Collaborate with cross-functional teams to prototype, iterate, and evaluate solutions for search, automation, analytics, and data triage.
• Assist in building and maintaining RESTful APIs and services that integrate AI capabilities into larger systems.
• Contribute to engineering best practices: version control, testing, documentation, code reviews, and secure coding.
• Support cloud-based deployment and operations (primarily AWS) under guidance from senior engineers.
• Use Generative AI–assisted development tools (e.g., Cursor, Antigravity, Claude Code) to accelerate coding, debugging, refactoring, testing, and documentation while maintaining quality and security standards.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, OR equivalent practical experience (e.g., bootcamp + strong portfolio, associate degree + internships/projects, apprenticeship, or self-directed learning with a demonstrable portfolio).
• Experience with Python and/or JavaScript/TypeScript through coursework, internships, research, or personal projects.
• Foundational understanding of machine learning concepts (e.g., supervised vs. unsupervised learning, embeddings, and evaluation basics).
• Exposure to AI application patterns (e.g., chatbots, semantic search, RAG) through projects, labs, or coursework.
• Familiarity with at least one AI/ML or LLM application framework (e.g., LangChain, Haystack, crewAI, or similar).
• Basic experience with common Python libraries (e.g., NumPy, Pandas, scikit-learn).
• Introductory knowledge of SQL and relational databases (e.g., PostgreSQL).
• Willingness to learn cloud technologies (AWS preferred) and modern DevOps practices.
• Interest in using Generative AI tools responsibly to support software development and continuous learning.

Requirements

• Exposure to RAG pipelines, embeddings, vector search, and re-ranking concepts.
• Experience with deep learning frameworks (PyTorch or TensorFlow).
• Familiarity with search technologies (Elasticsearch or OpenSearch).
• Familiarity with cloud SDKs (e.g., Boto3 for AWS).
• Basic understanding of prompt engineering for technical or analytical tasks.
• Familiarity with agentic AI frameworks such as AWS Strands Agents, PydanticAI, etc.
• Exposure to asynchronous programming and/or API development.
• Strong problem-solving skills, curiosity, and a growth mindset in AI/ML and software engineering.

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Parental Leave
• 401(k) Retirement Plan
• Group Term Life and Travel Assistance
• Voluntary Life and AD&D Insurance
• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
• Transit and Parking Commuter Benefits
• Short-Term & Long-Term Disability
• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Care.com annual membership
• Employee Assistance Program
• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
• Position may be eligible for a discretionary variable incentive bonus