Software Developer AIML TSSCI Counterintelligence Polygraph

Location:
Alexandria

Accrete is an agentic managed services company: an AI workforce that does high-stakes, judgement-heavy work for government and enterprise clients — at the economics of software, not labor.

At the core is Accrete's Knowledge Engine, a dynamic context graph that captures an organization's tacit knowledge, resolves data across silos, and builds a living, auditable ground truth. Expert agents reason against that ground truth to act on complex, high-stakes decisions — not just answer questions about them.

From national security to commercial operations, Accrete delivers the work on one platform, with unlimited expert agents and expert judgement.

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

• 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

• 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…