AI/ML Software Engineer

Guidehouse • Mclean, VA

77d

About The Position

Guidehouse Technology is seeking a highly skilled and motivated AI-focused Software Engineer to join our dynamic team. In this role, you will work with federal clients to design, develop, and deploy innovative AI and Machine Learning solutions that address immediate mission challenges. You will be a key contributor on a team of data scientists, developers, and subject matter experts, applying best practices to build robust AI applications, sophisticated data pipelines, and intelligent systems. The ideal candidate is a fast learner, a rapid developer with a strong foundation in software engineering and has demonstrable experience building production-ready AI solutions from concept to deployment.

Requirements

• Must be able to OBTAIN and MAINTAIN a Federal or DoD 'PUBLIC TRUST'; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
• Bachelor's degree is required.
• Minimum FIVE (5) years of hands-on experience with Python.
• Minimum FIVE (5) years of experience with JavaScript and/or TypeScript.
• Proven experience developing RAG applications, including implementing re-ranking strategies.
• Experience building AI chatbots or conversational agents.
• Hands-on experience with AI application frameworks such as LangChain, Haystack, crewAI, or similar.
• Strong knowledge of core Python data science and ML libraries: NumPy, Pandas, Scikit-learn, NLTK, OpenCV.
• Familiarity with deep learning frameworks like PyTorch or TensorFlow.
• Experience with search technologies like Elasticsearch or OpenSearch.
• Experience with relational databases (e.g., PostgreSQL, Oracle DB) and in-memory analytics databases (e.g., DuckDB).
• Strong knowledge of SQL and data modeling techniques.
• Experience with cloud SDKs, such as Boto3 for AWS.

Nice To Haves

• Familiarity with agentic AI frameworks such as AWS Strands Agents, PydanticAI, etc.
• Advanced prompt engineering skills for complex tasks beyond code generation.
• Experience with asynchronous Python development.
• Experience with MCP servers and tool calling within agentic workflows.
• Knowledge of GPU-accelerated computing (CUDA) and hardware optimization for running ML models efficiently.

Responsibilities

• Design, develop, and deploy end-to-end AI/ML applications, with a focus on Retrieval-Augmented Generation (RAG) systems, AI chatbots, and agentic workflows.
• Construct and maintain scalable data pipelines for processing, transforming, and feeding data into AI models and applications.
• Collaborate with cross-functional teams to rapidly prototype and iterate on solutions for mission-critical challenges in areas such as data triage, search and optimization, and automated discovery.
• Develop and maintain REST APIs to serve model inferences and integrate AI capabilities into larger systems.
• Contribute to the team's software architecture design, ensuring solutions are scalable, reliable, and efficient.
• Deploy and manage applications and models in cloud environments, primarily AWS, leveraging infrastructure-as-code and DevOps best practices.

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

What This Job Offers

• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees