Generative & Agentic AI Engineer

hatchit is hiring an Image and Computer Vision AI Engineer to strengthen image processing and recognition systems. This role is based in either Reston, VA/Washington, DC or Somerville, MA. Key responsibilities Design AI-driven solutions for image recognition challenges Develop and enhance algorithms to boost image processing accuracy and efficiency Collaborate with teams across disciplines to bring machine learning techniques into practical applications Conduct thorough testing to ensure models deliver reliable and accurate results Role impact The work in this position directly influences hatchit's products and services, contributing to ongoing progress in artificial intelligence and computer vision.

Join Babel Street, a leading technology partner dedicated to providing sophisticated identity intelligence and risk management solutions. Our cutting-edge AI and data analytics capabilities deliver unparalleled insights, facilitating proactive risk identification and high-speed automation that integrates seamlessly into existing systems. At Babel Street, we empower government and commercial entities to transform their identity and risk operations into a strategic advantage. Our actionable insights are instrumental in safeguarding lives and protecting vital assets globally.

Join Babel Street, the trusted technology partner for the world's leading identity intelligence and risk operations. Our advanced AI and data analytics solutions provide unparalleled, analysis-ready data in any language, enabling proactive risk identification and delivering comprehensive insights. With high-speed automation and seamless integration into existing systems, we empower government and commercial organizations to turn high-stakes identity and risk operations into a strategic advantage. Our actionable insights safeguard lives and protect critical assets globally.

Job Title: Cloud Computing Specialist – Subject Matter ExpertLocation: Reston, VA; telework options available after program commencement.Work Schedule: Full-timeSecurity Clearance: Secret / IT-I – Critical Sensitive (Tier 5/SSBI) / High RiskEmployment Type: W2 or 1099Citizenship Requirement: US Citizen only, no dual citizenship allowed.As a Cloud Computing Specialist – SME, you will offer essential cloud advisory and engineering support for the DLA CCIS program. This role requires foundational to mid-level expertise in cloud technologies, security measures, and operational processes tailored to DoD environments.At NexThreat, we provide more than just a job; we offer a platform for growth and innovation. As a nimble cybersecurity firm, we focus on identifying cyber threats and delivering advanced solutions to our clientele. Become part of a dedicated team of cybersecurity experts who protect critical infrastructure and ensure the security of essential national operations.Our people are our most valuable resource. We foster a vibrant and collaborative workplace where every team member's voice is heard, and contributions are valued. We are committed to our employees' professional growth and well-being, offering competitive benefits including 401K matching, health, vision, and dental insurance, paid leave, and a generous $5,000 vacation bonus after five years of service. Additionally, we have a referral program that rewards you for bringing exceptional talent into our organization.Joining NexThreat means becoming part of an innovative company that values integrity, teamwork, and forward-thinking solutions. Whether you are at the beginning of your career or seeking to advance, you'll discover the support and opportunities needed to flourish within our organization.

About the Role szns is looking for a Cloud Engineer in Reston, Virginia. This role focuses on designing, building, and maintaining cloud-based solutions. The Cloud Engineer works closely with colleagues across different teams to deliver infrastructure that is both scalable and secure. What You Will Do Design cloud architectures tailored to project needs Implement and manage cloud infrastructure Collaborate with cross-functional teams to support cloud deployments Help ensure security and scalability of cloud environments

Join the innovative team at SZNS Solutions (pronounced "seasons"), a leading technology advisory firm and Google Cloud Partner located in Reston, Virginia. Originally founded by former Google employees and staffed with talented engineers from Google, Amazon, and Capital One, we focus on pioneering advancements in web3, cloud computing, data engineering, blockchain, artificial intelligence, and cloud-native software development.We are excited to welcome a passionate Entry-Level Software Engineer to our growing team. In this dynamic and fast-paced environment, you will have the chance to engage in groundbreaking projects across cloud computing, web3, and decentralized technologies. Collaborate with skilled engineers and receive mentorship from experienced professionals while contributing to innovative solutions for both our clients and internal initiatives.

Hatchit seeks a Senior Director of Generative & Agentic AI to lead artificial intelligence projects from either Reston, VA or Somerville, MA. This position calls for a leader who can drive innovation and oversee a team dedicated to creating advanced AI technologies. Main focus The Senior Director will guide efforts to develop generative and agentic AI solutions. The work involves shaping projects that have practical impact across multiple industries. Leadership responsibilities This role includes managing a skilled team, setting strategic direction, and ensuring that AI initiatives align with broader organizational goals. Location This position is based in either Reston, VA or Somerville, MA, with a focus on collaboration and team leadership at one of these locations.

Join Babel Street, the premier technology partner for advanced identity intelligence and risk operations. We specialize in delivering innovative AI and data analytics solutions that provide unparalleled, analysis-ready data in any language, enabling proactive risk identification, comprehensive insights, rapid automation, and seamless integration within existing systems.At Babel Street, we empower government and commercial organizations to transform high-stakes identity and risk operations into strategic advantages. The actionable insights we provide not only safeguard lives but also protect critical assets globally.Headquartered in Reston, Virginia, with regional offices in Boston, Massachusetts, and Cleveland, Ohio, as well as international offices, we are at the forefront of leveraging technology for a safer world.

At SZNS Solutions, we are at the forefront of technological innovation, specializing in web3 and cloud computing as a proud Google Cloud Partner. Our team, composed of former Google engineers and experts from leading tech companies like Amazon and Capital One, excels in data engineering, blockchain technology, artificial intelligence, and the development of cloud-native software applications.We are looking for a passionate and experienced Senior Software Engineer to join our dynamic team. In this role, you will spearhead the development of pioneering solutions in cloud computing, web3, and decentralized technologies while providing mentorship to junior engineers. Your expertise will be vital in driving both client-facing and internal projects, enabling us to create scalable and innovative products in a fast-paced environment.Key ResponsibilitiesFull-Stack Development: Lead the end-to-end design, development, and deployment of cloud-native and decentralized applications.User Interface Development: Architect and build highly responsive, user-friendly interfaces using modern frameworks like React, Vue, or NextJS.Server-Side Development: Create robust server-side logic using technologies such as Node.js, Python, Java, or Go.Database Management: Oversee the design and administration of relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases.Cloud Solutions: Architect, deploy, and manage scalable cloud infrastructure primarily on Google Cloud Platform (GCP).API Development: Design and implement efficient RESTful and GraphQL APIs for seamless component integration.DevOps: Ensure operational efficiency in the development and delivery of completed systems.Web3 Development: Drive the creation of decentralized applications and smart contracts within the blockchain sphere.Team Collaboration: Mentor junior engineers, conduct code reviews, and work closely with designers, project managers, and other stakeholders.Quality Assurance: Advocate for best practices in testing, code quality, and documentation.Innovation: Remain ahead of industry trends by introducing new technologies and tools to enhance our development processes.

Babel Street is a premier technology partner specializing in cutting-edge identity intelligence and risk operations. We leverage advanced artificial intelligence and data analytics to provide unparalleled, analysis-ready data in any language, enabling proactive risk identification, comprehensive insights, rapid automation, and effortless integration into existing systems. Our mission is to empower both governmental and commercial organizations to turn high-stakes identity and risk management into strategic advantages. The actionable insights we provide protect lives and secure critical assets across the globe. Babel Street is headquartered in Reston, Virginia, with regional offices located in Boston, MA, and Cleveland, OH, along with international offices in various locations.

At CapTech, our Machine Learning Engineers play a pivotal role in crafting and executing data-centric solutions for our clients. We emphasize the creation and deployment of scalable machine learning systems within enterprise settings. Our team thrives in a collaborative atmosphere, offering ample opportunities for knowledge-sharing and professional growth alongside fellow analysts, architects, and clients.As a Lead Machine Learning Engineer, your key responsibilities will include:Collaborating with clients, data scientists, engineers, and cross-functional team members to deliver comprehensive machine learning solutions and explore innovative data science methodologies that align with business objectives.Providing technical leadership and fostering collaboration across teams to ensure that solutions meet customer requirements effectively.Transforming client needs into data-driven models and analytical frameworks.Conducting analysis and manipulation of extensive datasets using various enterprise-level data platforms (e.g., AWS, Azure, GCP).Designing, developing, and implementing sophisticated analytical solutions using client data (such as recommendation engines, natural language processing, and risk assessment models).Optimizing and scaling machine learning systems to fulfill client demands.Enhancing CapTech's Machine Learning and Data Science initiatives by delivering presentations, crafting proposals, participating in business development activities, and guiding junior data scientists and engineers.

As an AI Enablement Analyst at Revalize, you will play a vital role in harnessing the power of artificial intelligence to drive efficiency and innovation within our organization. Your analytical skills will be crucial in identifying opportunities for AI integration across various business functions. You will collaborate closely with cross-functional teams to ensure successful implementation of AI solutions, ultimately enhancing our operational capabilities.

Babel Street seeks a Knowledge Graph Engineer based in Reston, VA or Somerville, MA. This position centers on building and improving AI-powered data analytics tools that help organizations manage identity and risk. The work supports both government and commercial clients, with a focus on identifying risks early, integrating data efficiently, and safeguarding people and assets around the world. Key responsibilities Design and implement knowledge graph solutions that advance identity intelligence and risk assessment. Work with structured, analysis-ready data to provide clients with clear, actionable insights. Ensure analytics tools integrate smoothly into client environments. Collaborate closely with a team committed to innovation and high standards in data-driven solutions. Locations Reston, VA, United States Somerville, Massachusetts, United States

Role overview The Senior Architect of AI Governance and Risk at hatchit plays a central role in shaping responsible AI practices throughout the organization. This position leads the development and oversight of ethical and regulatory approaches to AI, ensuring that the company’s technologies are used in a way that meets both internal standards and external requirements. Key responsibilities Guide cross-functional teams as they develop and improve AI governance frameworks Lead projects focused on identifying and reducing risks associated with AI adoption and deployment Ensure all AI systems and processes comply with industry standards and legal obligations Advise on ethical issues and contribute to setting company-wide policies for AI use Location This role is based in Reston, VA or Somerville, MA.

Babel Street serves as the premier technology partner for cutting-edge identity intelligence and risk management solutions. We provide state-of-the-art AI and data analytics services, delivering unparalleled, analysis-ready data across multiple languages, enabling proactive risk detection, comprehensive insights, rapid automation, and effortless integration into existing infrastructures. We empower both governmental and corporate entities to transform critical identity and risk operations into strategic advantages. The actionable insights we provide are essential in safeguarding lives and protecting vital assets globally.Headquartered in Reston, Virginia, Babel Street also maintains regional offices in Boston, Massachusetts, and Cleveland, Ohio, along with international branches.

At CapTech, our Machine Learning Engineers play a pivotal role in crafting and deploying innovative data-driven solutions tailored for our esteemed clients. We focus on developing scalable machine learning systems within enterprise frameworks. Our collaborative culture fosters continuous learning and knowledge-sharing among CapTech analysts, architects, and clients alike.Key Responsibilities of the Machine Learning Engineer Include:Collaborating with clients, data scientists, engineers, and cross-functional teams to devise and implement comprehensive end-to-end machine learning solutions, while exploring novel approaches to address business challenges.Translating client requirements into actionable data-driven processes, models, and analytical metrics.Processing and analyzing extensive datasets across various enterprise-level platforms (e.g., AWS, Azure, GCP).Designing, developing, and deploying sophisticated analytical solutions leveraging client data, including recommender systems, natural language processing, and risk scoring.Optimizing and scaling ML systems to meet client specifications.Enhancing CapTech’s Machine Learning and Data Science capabilities by delivering impactful presentations, crafting proposals, participating in business development initiatives, and mentoring junior data scientists and engineers.

Anduril Industries develops advanced defense technology, supporting the U.S. and allied partners with platforms like Lattice OS. This AI-powered operating system unifies thousands of data streams into a real-time, 3D command and control center. The company’s work spans autonomy, AI, computer vision, sensor fusion, and networking, aiming to rapidly deliver new capabilities to military users. The Anduril Intelligence Systems (AIS) team collaborates closely with Intelligence Community customers. Their focus is on understanding operational needs, refining technical concepts, and providing engineering solutions for complex intelligence challenges. Role overview The Technical Operations Engineer, Intelligence Systems, serves as the main technical point of contact for both hardware and software across Anduril’s systems. This position develops training materials and documentation to help end users adopt new capabilities. Field work with customers is a key part of the job, supporting system integration and ongoing operations. Key responsibilities Deliver hands-on support for hardware setup and software configuration. Pre-configure systems to integrate smoothly with existing program infrastructure. Troubleshoot and resolve real-time issues, including those related to hardware, software dependencies, and network components such as firewalls, routers, switches, access points, and cloud environments. Create training documentation and user guides for end users and internal teams.

Anduril Industries develops defense technology for the United States and allied nations. The company’s Lattice OS platform uses artificial intelligence to transform large datasets into a real-time, 3D command and control interface. Anduril’s work centers on autonomy, AI, computer vision, sensor fusion, and networking, with a focus on delivering new military capabilities quickly and effectively. The Anduril Intelligence Systems (AIS) group partners closely with the Intelligence Community. This team develops engineering solutions and specialized products, working alongside clients to understand their requirements and deliver technology that supports national security missions. Role overview The Senior Cloud Software Engineer will design, build, and maintain infrastructure that supports mission-critical software deployments. This work covers both multi-cloud and on-premises environments, with a strong emphasis on reliability and security. Deep experience with Kubernetes, infrastructure-as-code, and cloud platforms is essential for this role. What you will do Construct and maintain infrastructure for deploying software across cloud and on-premises systems Use expertise in Kubernetes and infrastructure-as-code to support operational needs Ensure systems are reliable and meet the requirements of national security missions Location This position is based in Reston, Virginia, United States.

Anduril Industries develops advanced defense technology for the U.S. and allied nations, combining modern tech approaches with the needs of the defense sector. The company’s core platform, Lattice OS, uses AI to transform large streams of data into a real-time 3D command and control interface. Anduril’s work centers on autonomy, artificial intelligence, computer vision, sensor fusion, and networking, delivering new capabilities to military users on short timelines. The Anduril Intelligence Systems (AIS) team partners closely with the Intelligence Community to understand operational needs and shape solutions for national security. AIS positions Anduril as a specialized engineering provider, focused on addressing critical challenges for intelligence organizations. Role overview The Senior Software Engineer - Intelligence Systems role is based in Reston, Virginia. This position involves building a wide range of software, from enterprise applications to user-facing solutions on embedded and custom hardware. The work covers the entire stack: middleware, code migration, optimization, performance tuning, cryptographic integration, and designing resilient systems. The role requires strong technical skills, adaptability, and the ability to deliver results under tight deadlines and with limited resources. What you will do Lead the design and hands-on development of software for full-stack enterprise applications and user interfaces on custom or embedded hardware. Work across all layers of the stack, including databases, backend services, and front-end GUI frameworks. Modernize, maintain, and improve existing complex software systems to ensure they scale and remain reliable. Provide technical guidance and mentorship, and encourage adoption of new technologies and best practices within the team. Develop ...

Join Anduril Industries, a pioneering defense technology firm dedicated to enhancing U.S. and allied military capabilities through innovative solutions. As a Staff Embedded Software Engineer, based in Reston, Virginia, you'll develop robust software solutions across the entire hardware and software stack. Your role will encompass writing firmware and middleware components, optimizing performance, integrating advanced encryption systems, and designing software architectures that meet critical national security requirements. Collaborate with project managers, maintain existing software systems, and lead technical initiatives to ensure project success within tight deadlines.