Frontend Software Engineer, TS/SCI with Counterintelligence Polygraph Required

About this role

Location: Alexandria, VA 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. The Role As a Frontend Engineer you will work at the intersection of data engineering, software development, and AI. You will rapidly turn ideas, mission requirements, and technical concepts into working prototypes that can be tested with users and evaluated for production potential. This is a highly hands-on role. You will work directly with engineers, data scientists, AI/ML teams, product managers, and government customers to ingest and manipulate data, build lightweight applications and workflows, test new technical approaches, and iterate quickly based on feedback. The ideal candidate is a strong generalist who enjoys solving ambiguous problems, learning new technologies, and building functional prototypes rather than spending months designing solutions before putting them in front of users. What You'll Do Software Prototyping Rapidly develop functional software prototypes to demonstrate new concepts and capabilities Translate ambiguous mission requirements into working technical solutions Build proof-of-concepts that combine data, APIs, AI models, and software components Develop lightweight applications, services, scripts, and interfaces to test new ideas Iterate rapidly based on user feedback and technical findings Evaluate prototype approaches and make recommendations for production implementation Work across the technology stack as needed to get prototypes operational Identify technical risks, limitations, and dependencies early in the development process Maintain clear documentation of prototype architecture, functionality, and technical decisions Data Engineering Build data ingestion and transformation pipelines to support prototypes Integrate structured and unstructured data from multiple sources Work with APIs, databases, files, feeds, and other data sources Clean, normalize, transform, and enrich data for analytical and AI applications Develop SQL queries and Python-based data processing workflows Monitor data pipelines and troubleshoot data quality and integration issues Create reusable data workflows that can transition from prototype to production AI & Automation Integrate AI and machine learning capabilities into software prototypes Work with LLMs, embeddings, RAG, information retrieval, and AI agents where appropriate Develop prototypes that automate manual or knowledge-intensive workflows Experiment with different AI models, APIs, tools, and architectures Build workflows that combine data processing with AI-driven analysis or decision support Develop evaluation methods to measure prototype performance and usefulness Work closely with data scientists and AI engineers to test new approaches Technical Collaboration Partner with software engineers, data scientists, product teams, and mission experts to understand requirements and quickly convert them into a minimum viable product for collecting feedback Participate in technical design sessions and architecture discussions Translate customer needs into technical requirements and implementation plans Communicate prototype capabilities, limitations, and technical tradeoffs Support demonstrations and technical discussions with government customers Provide recommendations on whether and how successful prototypes should be productionized Draft software documentation Mission Support Work directly with government customers and mission users to understand operational challenges Rapidly respond to emerging technical requirements and mission needs Build prototypes that demonstrate measurable mission value Support customer demonstrations, testing, experimentation, and deployment Operate effectively in secure and potentially classified environments What We're Looking For Active TS/SCI clearance with Counterintelligence or Lifestyle Polygraph 3+ years of experience in data engineering, software engineering, application development, or a related technical field Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related technical discipline, or equivalent professional experience Strong experience with C++, Python, Java, SQL, and any equivalent programming skills Experience working with APIs and integrating multiple data sources Experience rapidly developing software prototypes or proof-of-concepts Strong understanding of software development fundamentals Ability to work across unfamiliar technologies and quickly learn new tools Strong problem-solving and debugging skills Ability to work independently and make technical decisions in an ambiguous environment Strong written and verbal communication skills Preferred Qualifications Experience supporting the Department of Defense or Intelligence Community Experience building AI/ML or LLM-powered applications Experience with RAG, embeddings, vector databases, NLP, or information retrieval Experience with AI agents and tool-calling workflows Experience with modern web application development Experience with FastAPI, Flask, React, or similar frameworks Experience with PostgreSQL, MongoDB, Elasticsearch, or similar data platforms Experience with AWS, Azure, or other cloud environments Experience with Docker and Kubernetes Experience with Git, CI/CD, and modern software development workflows Experience with Spark, Airflow, Kafka, Databricks, Snowflake, or similar data technologies Experience working in cla