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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Developer (AI/ML), TS//SCI with Counterintelligence Polygraph Required - **Company:** Accrete, Inc. - **Location:** Alexandria, VA, United States - **Experience:** Expert - **Salary:** $170,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, C++ (Programming Language), Computer Programming, Continuous Integration, Decision Support Systems, Graph Database, Monitoring of Systems, Information Extraction, Information Retrieval, Python (Programming Language), Machine Learning, Language Modeling, Natural Language Processing, Open Source Technology, Operational Databases, Rapid Prototyping Process, Tensorflow, SAP (Applications), Search Technologies, Software Deployment, Software Engineering, SQL Databases, Data Processing, Feature Engineering, Data Ingestion, Pytorch, Retrieval-Augmented Generation, Large Language Models, Apache Spark, Model Validation, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, Data Pipelines, Docker - **Published:** August 19, 2026 - **Apply:** https://www.wayup.com/i-j-Software-Developer-AI-ML-TS-SCI-with-Counterintelligence-Polygraph-Required-Accrete-555983278629399/ ## About the Role + Active TS//SCI clearance with Counterintelligence or Lifestyle Polygraph + 5+ years of experience in data science, machine learning, AI, quantitative analysis, or a related technical field + Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline + Strong experience with C++, Python, Java, SQL, and any equivalent programming skills + Deep understanding of machine learning, statistics, and data science fundamentals + Hands-on experience building and deploying machine learning or AI systems + Experience applying LLMs or other modern AI techniques to real-world applications + Experience designing automated data or business workflows + Strong understanding of model evaluation, experimentation, and performance measurement + Ability to work across the full lifecycle from data exploration and prototyping through production deployment + Strong analytical and problem-solving skills + Excellent written and verbal communication skills + Ability to operate independently and take ownership of ambiguous technical problems, + Experience building AI agents or agentic workflows + Experience with LLM APIs, open-source language models, embeddings, RAG, vector databases, or tool calling + Experience with NLP, information extraction, semantic search, or knowledge graphs + Experience building production data pipelines and ML systems + Experience with PyTorch, TensorFlow, scikit-learn, Spark, or similar technologies + Experience with cloud platforms such as AWS or Azure + Experience with Docker, Kubernetes, and modern CI/CD practices + Experience with MLOps, model monitoring, and automated evaluation + Experience supporting the Department of Defense, Intelligence Community, or other federal mission + Experience working in classified, secure, or air-gapped environments + Experience automating complex analyst or operational workflows + Experience with geospatial, graph, time-series, or other specialized data + Ability to obtain and maintain additional security clearance accesses to Special Access Programs (SAP) or Access Compensatory Control Measures (ACCM) ## Description As a Software Developer (AI/ML) you will work at the intersection of data science, artificial intelligence, advanced analytics, and workflow automation. You will identify opportunities to automate complex, manual processes and build intelligent systems that can analyze data, make recommendations, and execute tasks with minimal human intervention. You will work on a multi-disciplinary team with mission specialists, AI/ML engineers, software engineers, product delivery specialists, and government end users to turn mission requirements into practical AI and automation solutions. This role requires strong technical depth, excellent analytical judgment, and the ability to move quickly from an ambiguous problem to a working solution. The ideal candidate has experience applying data science and AI to real-world problems and is excited about using modern AI technologies to automate knowledge-intensive work., + Design and develop AI-driven automation solutions for complex government and national security workflows + Identify manual, repetitive, and knowledge-intensive processes that can be improved through AI and automation + Develop systems that combine data, machine learning, LLMs, and workflow automation to accomplish mission objectives + Build intelligent workflows capable of extracting information, reasoning over data, generating outputs, and triggering downstream actions + Develop and evaluate LLM-based applications, including retrieval-augmented generation, agents, tool use, and structured outputs + Design approaches for human-in-the-loop and human-on-the-loop workflows in compliance with government legal and regulatory constraints + Develop automated methods for data ingestion, classification, enrichment, transformation, and analysis + Build rapid prototypes and iterate based on user feedback and system performance + Evaluate automation opportunities based on accuracy, reliability, scalability, and mission impact, + Analyze large, complex, and heterogeneous datasets to identify patterns and opportunities for automation + Develop statistical and machine learning models to support AI-enabled applications + Perform exploratory data analysis, feature engineering, model development, and evaluation + Develop quantitative methods for measuring AI and automation performance + Design experiments and evaluation frameworks for AI systems + Investigate data quality issues and develop automated methods for validation and remediation + Apply natural language processing, information retrieval, classification, entity resolution, anomaly detection, and other analytical techniques as appropriate + Develop data pipelines and analytical workflows supporting production AI systems Production AI + Partner with software and ML engineers to move data science prototypes into production + Design scalable data and AI workflows that can operate reliably in production environments + Monitor model and automation performance and identify opportunities for improvement + Develop evaluation datasets, benchmarks, and automated testing approaches for AI systems + Help establish best practices for responsible, ethical, and reliable deployments of AI capabilities + Troubleshoot model, data, and system performance issues + Contribute to the technical architecture of AI-enabled applications + Develop software documentation, + Work directly with government customers and mission users to understand operational challenges + Translate ambiguous mission requirements into technical approaches and measurable outcomes + Demonstrate AI and automation capabilities to customers and stakeholders + Gather user feedback and incorporate it into iterative product development + Explain complex AI concepts, capabilities, limitations, and results to technical and non-technical audiences + Identify additional opportunities where AI and automation can deliver measurable mission value, Success in this role means identifying opportunities where AI can meaningfully replace or accelerate manual work and turning those opportunities into reliable, production-ready capabilities. You will be expected to move beyond experimentation and demonstrate measurable impact. That could mean reducing hours of manual analysis, accelerating information discovery, automating data processing, improving decision support, or enabling mission users to accomplish work that previously required significant human effort. The strongest candidates will combine deep data science expertise with practical AI engineering instincts. You should be comfortable exploring a new dataset, building an AI prototype, designing an evaluation framework, working with engineers to productionize it, and iterating directly with users. Why Accrete Government + Work on cutting-edge AI and automation capabilities supporting U.S. government and national security missions + Solve complex problems involving large-scale and sensitive datasets + Build AI systems designed to perform meaningful work, not simply generate information + Work alongside experienced engineers, AI researchers, and mission experts + Have direct exposure to government customers and operational use cases + Take significant ownership over the development of new AI capabilities + Help deploy advanced AI into real-world mission environments] Salary Range: $ 170k - $220k The salary range provided reflects the estimated compensation for this role based on the expected qualifications and experience level. The final offer may vary depending on factors such as skills, experience, and alignment with role requirements., You take full ownership and accountability for your work, consistently seeing projects through from inception to completion with a strong bias for action. Proactively identifying challenges, you drive solutions rather than waiting for direction, and hold yourself and others to the highest standards for delivering results. With strategic thinking and a problem-solving mindset, you make informed decisions leveraging data and expertise, always looking for ways to improve processes, optimize workflows, and enhance outcomes beyond your immediate responsibilities., You work seamlessly across teams, prioritizing shared goals and team success over individual credit. Engaged listening and open, candid communication are at the heart of your approach, ensuring alignment and synergy throughout the organization. You value diverse perspectives, seeking input from others to drive better results. By treating colleagues with respect and professionalism, you help build a culture of trust, supporting each other through challenges, celebrating successes, and constructively addressing conflicts to strengthen relationships and improve outcomes. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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