AI/ML Engineer

We are seeking an experienced AI/ML Engineer to design, develop, and deploy production-ready artificial intelligence and machine learning solutions supporting mission-critical investigative and operational challenges.

This position will focus on Retrieval-Augmented Generation, conversational AI, agentic workflows, traditional machine learning, natural language processing, graph analytics, and entity resolution. The ideal candidate combines strong Python software engineering skills with hands-on experience building scalable AI/ML applications using large, complex structured and unstructured datasets., * Design, develop, and deploy end-to-end AI/ML applications, including Retrieval-Augmented Generation systems, AI chatbots, and agentic workflows.

• Build scalable data pipelines that process, transform, link, and prepare structured and unstructured data for AI models and applications.
• Develop machine learning models for classification, clustering, anomaly detection, risk scoring, predictive analytics, and pattern recognition.
• Apply graph analytics, network analysis, and link-analysis techniques to identify relationships among individuals, organizations, transactions, locations, and events.
• Develop entity-resolution capabilities to match, deduplicate, and link records across large, disparate datasets.
• Apply natural language processing techniques to extract entities, relationships, topics, events, and risk indicators from documents, case notes, and other unstructured data.
• Build and maintain REST APIs that serve model inferences and integrate AI capabilities into enterprise applications.
• Rapidly prototype and refine solutions supporting fraud detection, trafficking detection, investigations, data triage, search, optimization, and automated discovery.
• Collaborate with software engineers, data scientists, analysts, product teams, and mission stakeholders to translate operational needs into practical technical solutions.
• Contribute to application and platform architecture to ensure solutions are secure, scalable, reliable, and maintainable.
• Deploy AI/ML applications and models in AWS using cloud engineering, infrastructure-as-code, CI/CD, and DevOps best practices.
• Support explainable, auditable, and human-in-the-loop AI workflows that enable analyst review and investigative decision-making.

• Bachelor's degree in computer science, engineering, data science, mathematics, or a related field.
• At least six years of relevant hands-on experience with Python and JavaScript and/or TypeScript.
• A master's degree or relevant industry certification may substitute for up to two years of professional experience.
• Advanced Python experience supporting AI/ML application development, data engineering, data analysis, and model implementation.
• Experience developing production Retrieval-Augmented Generation applications, including retrieval optimization and re-ranking strategies.
• Experience building AI chatbots, conversational agents, or agentic AI applications.
• Hands-on experience with LangChain, Haystack, crewAI, LlamaIndex, or a comparable AI application framework.
• Experience developing and applying machine learning models for classification, clustering, anomaly detection, risk scoring, predictive analytics, or pattern recognition.
• Experience with graph analytics, network analysis, link analysis, or relationship discovery across complex datasets.
• Experience with entity resolution, record linkage, identity matching, deduplication, or similar data-matching techniques.
• Experience applying NLP techniques such as named entity recognition, semantic search, text classification, information extraction, topic modeling, or relationship extraction.
• Strong knowledge of Python data science and machine learning libraries such as NumPy, Pandas, Scikit-learn, NLTK, and OpenCV.
• Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with Elasticsearch, OpenSearch, or a comparable search technology.
• Experience working with PostgreSQL, Oracle, or similar relational databases.
• Experience with analytical or in-memory databases such as DuckDB.
• Strong SQL and data-modeling skills.
• Experience developing and integrating REST APIs.
• Experience with AWS services and SDKs, including Boto3.
• Ability to work with large, disparate datasets and identify hidden patterns, relationships, anomalies, and risk indicators.
• Strong analytical, problem-solving, collaboration, and communication skills.
• U.S. citizenship and the ability to obtain and maintain a Federal or DoD Public Trust.

Preferred Qualifications

• Experience with agentic AI frameworks such as AWS Strands Agents, PydanticAI, or similar technologies.
• Advanced prompt-engineering experience for complex reasoning, extraction, orchestration, and decision-support use cases.
• Experience developing asynchronous Python applications.
• Experience with Model Context Protocol servers, tool calling, and multi-agent workflows.
• Knowledge of GPU-accelerated computing, CUDA, or model-performance optimization.
• Experience with Neo4j, Amazon Neptune, TigerGraph, NetworkX, GraphFrames, or similar graph technologies.
• Experience supporting fraud detection, trafficking detection, investigations, intelligence analysis, case management, or law-enforcement-adjacent programs.
• Experience developing explainable AI/ML models that support analyst review, auditability, and investigative workflows.
• Experience deploying AI/ML solutions into secure federal cloud environments.
• Familiarity with geospatial analytics, temporal analytics, behavioral pattern detection, or advanced link analysis.
• Experience designing human-in-the-loop systems supporting case prioritization and operational decision-making.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.