Junior AI/ML Software Engineer at Guidehouse in Remote

Summary: Guidehouse is seeking a curious, motivated entry-level AI/ML Software Engineer to support federal clients. This role involves designing, building, and deploying AI-enabled applications while collaborating with experienced professionals to deliver innovative solutions. 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 Required 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 Preferred Qualifications: - 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 Required Skills: Python, JavaScript, TypeScript, Machine Learning, AI application frameworks, LangChain, Haystack, crewAI, Python libraries - NumPy, Python libraries - Pandas, Python libraries - scikit-learn, SQL, PostgreSQL, AWS, Generative AI development tools 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