Top Tech Jobs & Startup Jobs

Lead development of statistical and machine learning models for time-series, geospatial, kinematic, and radar data. Build analytic solutions, training datasets, ETL workflows, forecasting and anomaly-detection models, simulations, visualizations, and performance metrics. Integrate multi-source sensor data, enhance algorithms, document processes, and collaborate with engineers, analysts, mission partners, and stakeholders in an agile environment.

Lead the architecture and development of agentic engineering capabilities across the software development lifecycle. Build AI-powered workflows, agents, integrations, guardrails, evaluation systems, and observability patterns. Establish engineering data architecture and systems of record while advising teams on adopting agentic development practices. Drive scalable implementation, organizational adoption, measurement, and continuous improvement of AI-enabled engineering operations.

The Software QA Engineer creates and executes test plans, evaluates software features, provides usability and workflow feedback, supports customers and users, and interfaces with government customers on requirements, development progress, bug fixes, training, and technical support. The role supports intelligence applications across Linux, Windows, macOS, and Android platforms.

Drives adoption and growth of new products and complex solutions for defense and intelligence customers. Builds relationships with senior personnel and operational users, translates customer workflows into product capabilities, identifies business opportunities, and supports sales and marketing with positioning, proposals, workshops, training, and customer engagements. Requires active Secret clearance with TS/SCI eligibility, defense or intelligence community experience, technical product knowledge, and travel up to 50%.

Develop and maintain production AI/ML applications using agent-based workflows, LLM integration, RAG pipelines, REST APIs, and Python services. Design agent architectures, process structured and unstructured data, refine PostgreSQL schemas, and optimize applications for performance, reliability, scalability, and usability. The role also supports full-stack development, enterprise deployment, tool integration, memory management, vector search, and cloud or containerized environments.

Supports data science teams by cleaning and preparing structured and unstructured datasets, automating ETL workflows, and developing scalable data pipelines. Uses Python, SQL, big-data frameworks, cloud services, and dashboarding tools to support analytics, modeling, LLM/NLP workflows, and operational data products. Maintains documentation, assists with data governance and visualization, and contributes to mission-focused intelligence solutions in a highly sensitive environment.

Develop scalable data science solutions for large structured and unstructured datasets supporting national security missions. Automate data processing, build machine learning and graph-based capabilities, and integrate LLMs into knowledge management workflows. Translate customer needs into analytical solutions, communicate findings through reports and visualizations, deploy models with engineering teams, and mentor junior data scientists. The role is full-time onsite in Reston, Virginia and requires an active TS/SCI clearance with CI polygraph.

Leads a portfolio of high-value government and prime contractor accounts, owning account health, growth strategy, revenue forecasts, margins, contract continuity, pipeline, and customer outcomes. Builds executive relationships, drives expansions and recompetes, oversees Program Managers, coordinates cross-functional product and service delivery, and translates mission needs into capture strategies, investments, and measurable business growth.

Manage the full lifecycle of complex government and commercial agreements, including FAR Part 12 contracts, OTAs, prime contracts, subcontracts, licensing agreements, teaming agreements, NDAs, OCI matters, and GSA contracts. Responsibilities include negotiation, compliance, risk mitigation, contract administration, stakeholder advising, audit support, process improvement, and monitoring regulatory developments.

Leads the architecture and delivery of complex software-intensive systems across cloud, distributed, AI-enabled, and mission-critical environments. Defines system boundaries, interfaces, integration strategies, and technical direction; conducts trade studies; manages architectural and operational risks; and drives systems from concept through validation, readiness, and adoption. Partners with engineering, product, architecture, customers, and senior leadership while mentoring technical leaders and scaling AI-enabled systems engineering practices.