AI/ML Software Engineer

Guidehouse

AI-focused Software Engineer developing innovative AI and ML solutions for federal clients. Collaborating with teams to address mission challenges through robust applications and data pipelines.

Posted 7/1/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $113,000 - $188,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudElasticSearchJavaScriptNumpyOraclePandasPostgresPythonPyTorchScikit-LearnSQLTensorflowTypeScript

About the role

Key responsibilities & impact

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 Artificial Intelligence 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.
Design, develop, and deploy end-to-end AI/ML applications, with a focus on Retrieval-Augmented Generation systems, AI chatbots, and agentic workflows.
Construct and maintain scalable data pipelines for processing, transforming, linking, and feeding structured and unstructured data into AI models and applications.
Develop machine learning models for risk scoring, anomaly detection, classification, clustering, and predictive analytics to support investigative and operational decision-making.
Apply graph analytics and network analysis techniques to identify hidden relationships among individuals, transactions, locations, organizations, and events.
Implement entity resolution capabilities to match, deduplicate, and link records across large, disparate datasets.
Apply NLP techniques to extract entities, relationships, topics, events, and indicators from unstructured text, documents, case notes, and other mission-relevant data sources.
Collaborate with cross-functional teams to rapidly prototype and iterate on solutions for mission-critical challenges in areas such as fraud detection, trafficking detection, 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, secure, and efficient.
Deploy and manage applications and models in cloud environments, primarily AWS, leveraging infrastructure-as-code and DevOps best practices.

Requirements

What you’ll need

Bachelor’s degree is required.
Minimum SIX (6) years of hands-on experience with Python and JavaScript and/or TypeScript.
A Master’s degree OR Industry Certification may be substituted for up to two years of relevant professional experience.
Strong hands-on experience with Python for AI/ML application development, data engineering, data analysis, and model implementation.
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, including NumPy, Pandas, Scikit-learn, NLTK, and OpenCV.
Demonstrated experience developing and applying machine learning models for classification, clustering, risk scoring, anomaly detection, and pattern recognition.
Experience with graph analytics, network analysis, and relationship discovery across complex datasets.
Experience with entity resolution, record linkage, deduplication, identity matching, or similar data matching techniques.
Experience applying NLP techniques such as named entity recognition, text classification, semantic search, information extraction, topic modeling, and relationship extraction.
Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
Experience with search technologies such as Elasticsearch or OpenSearch.
Experience with relational databases, such as PostgreSQL or Oracle DB, and in-memory analytics databases, such as DuckDB.
Strong knowledge of SQL and data modeling techniques.
Experience with cloud SDKs, such as Boto3 for AWS.
Ability to work with large, disparate datasets and uncover hidden patterns, relationships, anomalies, and risk indicators.
Strong analytical, problem-solving, and communication skills, with the ability to translate mission needs into practical AI/ML solutions.

Benefits

Comp & perks

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.)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonJavaScriptTypeScriptMachine LearningData EngineeringGraph AnalyticsEntity ResolutionSQLData ModelingNLP

Soft Skills

Analytical SkillsProblem-SolvingCommunication Skills