Hypergiant Industries

We are proud to partner with SkillBridge to offer internship opportunities for qualified transitioning service members. These internships span a variety of fields including Software Engineering, UX/UI Design, Data Engineering, Project Management, and more. Participants will work primarily remotely with their assigned host company, engaging in individual internships aligned to entry- or mid-level roles and following a full-time, 40-hour workweek schedule. The Goals, Objectives, and Outcomes of the program are outlined below. We are seeking a highly skilled and experienced Front-End Engineer to join our team, which is focused on providing software and technology solutions for the Department of Defense (DoD). The ideal candidate will have a background in engineering, strong experience in the DoD, and a deep understanding of the value streams associated with complex DOD kill chains. Duties and Responsibilities: - Rapid prototyping and demonstration of technical software and hardware solutions in collaboration with developers, designers, product owners, and partner organizations - Research and monitor new technologies, frameworks, and tools - Coordinate solution design and architecture with existing product teams - Analyze technical alternatives and document key decisions - Address buy / lease / build decisions to support program cost and schedule analysis - Document architecture and product roadmap in coordination with developers, designers, and product owners - Support development, test, build, and deployment of software applications to unclassified and classified production environments Required Qualifications: - 2+ years of professional software development experience or a computer science / engineering degree. - Proficiency with version control and effective collaborative development workflows in a CI/CD environment. - Understanding of modern application architecture. - Ability to make effective architecture decisions and document them. - Penchant for learning new technologies, balanced with strong pragmatic thinking. Desired Qualifications: - Application deployment experience on DOD platforms (e.g., Platform One Big Bang) - Professional experience with React or other JavaScript frameworks. - Experience transitioning system design into software applications using web-compatible programming languages. - Understanding of concepts like asynchronous and concurrent programming and data mesh / data fabric concepts - Experience with Typescript, Java, Apache Arrow, and GPU rendering - Experience with geospatial visualization application development - Ability to perform logging and auditing for application troubleshooting and system wide metrics - Software / hardware integration and network technology experience - Active security clearance Goals – Provide transitioning service members fellowship-style job skills training during the last portion(s) of their military commitment. This program is specifically designed to offer internships that result in the potential to transition to a full-time opportunity as the conclusion of the training. Objectives - Service Members who complete the Intern program will be highly trained and capable future employees that align to the specific needs of the organization and are prepared to meet Hypergiant's mission “Know Tomorrow, Act Today” on Day 1. This program provides a comprehensive internship experience including professional development, networking with leadership, and training specifically focused on Hypergiant's leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome – Offer transitioning service member a rewarding opportunity to join the Hypergiant team. DoD SkillBridge Eligibility: - Has served at least 180 days on active duty - Is within 12 months of separation or retirement - Will receive an honorable discharge - Has taken any service TAPS/TGPS - Has attended or participated in an ethics brief within the last 12 months - Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internship. Clearance Requirements Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. To learn more about the security clearance process please access this link. EEOC & Know Your Rights Accelint companies are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs. For more information about your rights, please review the "Know Your Rights" poster from the Equal Employment Opportunity Commission (EEOC). Know your Rights: English Spanish Pay Scales & Benefits The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors. Benefits include… - Paid Time Off - Paid Company Holidays - Medical, Dental & Vision Insurance - Optional HSA and FSA - Base and Voluntary Life Insurance - Short Term & Long-Term Disability Insurance - 401k Matching - Employee Assistance Program

We are looking for a Senior AI Quality Engineer who will focus on ensuring these AI-powered, agentic applications are reliable, observable, and safe to operate in mission-critical environments. You will design and integrate testing guardrails directly into agentic workflows, validate orchestration logic, and build custom evaluation and test harnesses tailored to how these systems actually behave, rather than relying on off-the-shelf QA tools that don't fit the problem space. In this role, you will help define how quality is measured, enforced, and continuously evaluated across these systems, from individual agents to end-to-end workflows. You'll work closely with AI engineers, program teams, and infrastructure to embed reliability, security, and evaluation signals into the fabric of the system as it's being built. The ideal candidate understands agentic system design, has strong instincts for failure modes in AI-driven workflows, and is comfortable building bespoke testing frameworks, simulators, and evaluation pipelines to ensure these applications can succeed in real operational contexts. Role & Responsibilities - Hands-on delivery: Participate across the AI solution lifecycle from requirements and design through development, testing, and deployment by writing code, building validation systems, reviewing pull requests, and delivering working AI quality capabilities in an iterative, agile environment. - Scenario-driven validation: Build and maintain systems that exercise agentic workflows against realistic scenarios, edge cases, and failure conditions, using custom harnesses and guardrail-style validations, to validate end-to-end behavior and orchestration. - Integration hardening: Define contracts, validation, and explicit failure behavior at integration points so agentic workflows degrade safely when dependencies misbehave. - Reusable quality components: Create shared libraries, reference harnesses, and validation utilities that teams can reuse to accelerate adoption of AI quality practices. - Quality by design: Architect agentic systems so correctness, safety, and expected behavior are enforced by design rather than validated after the fact. - Design-time risk reduction: Participate in solution design to identify likely failure patterns in agentic systems and influence architecture and constraints before implementation. - AI quality evaluation: Define and implement cost-conscious evaluation strategies for AI-enabled systems, including data quality validation, model relevancy, hallucination detection, failure analysis, and ongoing measurement of AI-driven behavior. - Mission-aligned evaluation: Work with cross-functional program teams, including engineering, infrastructure, security, and delivery stakeholders, to translate customer and mission needs into concrete evaluation criteria and success conditions. - Delivery collaboration: Communicate estimates, progress, and technical tradeoffs clearly to development leads and product owners, and work alongside other engineers to share knowledge, improve practices, and raise the overall bar for AI engineering quality. Required Experience: - Strong engineering foundation: 5+ years of professional software engineering experience. - Custom validation and evaluation systems: Demonstrated experience building bespoke validation, evaluation, or testing frameworks for complex systems, using or expanding tools such as Playwright, pytest, k6, Guardrails AI, or similar frameworks. - Data contracts and validation: Data validation, schema enforcement, and contract testing experience in distributed or service-oriented architectures. - Quality-focused engineering: Experience treating quality, reliability, and correctness as core design concerns, including building automation or validation systems that meaningfully influenced how software was designed, tested, and released. - Risk reduction and release confidence: Experience defining, interpreting, and acting on quality signals to assess system readiness, guide release decisions, and reduce risk in complex software systems. - AI systems: Hands-on experience designing, building, and operating AI-powered systems, including agentic workflows or orchestrated LLM-based applications. - Cloud-native delivery: Solid understanding of Amazon Web Services and its native AI/ML services. - CI/CD and iterative delivery: Practical experience integrating automation into CI/CD pipelines and delivering software in an iterative, agile environment. - Operational and security awareness: Working knowledge of security best practices relevant to regulated or mission-critical contexts. - Collaborative engineering: Proven ability to work effectively with cross-functional teams, communicate technical tradeoffs, and deliver outcomes in environments with multiple stakeholders. - Eligibility requirements: Must be a U.S. Citizen and able to obtain and maintain a U.S. Security Clearance. Preferred Experience: - Experience designing and operating visual regression and performance testing approaches for complex systems, including defining meaningful baselines, detecting regressions, and using results to inform release decisions. - Comfort working in a TypeScript/JavaScript and/or Python-based stack, including modern frameworks (e.g., React, Next.js) across frontend, backend, or tooling codebases. - Familiarity with custom LLM integrations, LLM evaluation techniques, prompt engineering, and approaches for assessing non-deterministic or probabilistic system behavior. - Exposure to monitoring or observability tooling (e.g., Datadog, Prometheus/Grafana) to support debugging or validation of complex systems. - Working knowledge of security, privacy, and data protection considerations specific to AI-powered systems. - Experience documenting system architecture and design decisions clearly for technical and non-technical audiences. - Background in building or operating software in regulated, mission, or government contexts, including DoD environments, test and evaluation processes (e.g., DT&E, OT&E), or compliance frameworks such as FedRAMP or CMMC. Experience supporting Air Force programs is a plus. - Ability and willingness to travel within the US as needed. - Active U.S. Security Clearance (or prior clearance). Clearance Requirements Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. To learn more about the security clearance process please access this link. EEOC & Know Your Rights Accelint companies are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs. For more information about your rights, please review the "Know Your Rights" poster from the Equal Employment Opportunity Commission (EEOC). Know your Rights: English Spanish Pay Scales & Benefits The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors. Benefits include… - Paid Time Off - Paid Company Holidays - Medical, Dental & Vision Insurance - Optional HSA and FSA - Base and Voluntary Life Insurance - Short Term & Long-Term Disability Insurance - 401k Matching - Employee Assistance Program

We are looking for a Senior AI Engineer to work alongside our balanced agile delivery teams on highly complex DoD projects, specifically developing AI-powered DevSecOps processes that accelerate the velocity of development and testing of our mission planning and decision support systems. Hypergiant with its partners is building innovative agentic AI solutions that leverage cloud-based AI platforms and custom model context protocol (MCP) connectors to seamlessly integrate existing capabilities and processes to orchestrate application creation . An ideal candidate is able to design and implement custom agentic workflows, build and deploy MCP connectors for containerized services, and ensure system security and reliability. This position will work alongside our infrastructure and security teams on highly complex DoD projects. Role & Responsibilities - Build and deploy custom model context protocol (MCP) connectors for new and existing services - Design and implement custom agentic workflows using cloud AI platforms - Develop server-side application logic and APIs that integrate AI capabilities with existing enterprise systems - Contribute to the development and maintenance of reusable AI component libraries and shared code infrastructure - Write high-quality code, applying best practices, coding standards, and design patterns for AI systems - Participate in the entire AI solution lifecycle, including requirement gathering, design, development, testing, and deployment, using an agile, iterative process - Participate in code reviews and ensure code quality through effective testing strategies and security validation - Collaborate with infrastructure teams, security teams, developers, designers, testers, project managers, product managers, and project sponsors - Communicate tasking estimation and progress regularly to a development lead and product owner through appropriate tools - Ensure seamless integration with backend systems, cloud services, databases and messaging systems - Team with other developers, fostering a culture of continuous learning and professional growth in AI engineering Required Experience: - At least 5+ years of professional software engineering experience with a focus on Python and TypeScript/JavaScript - Proven experience building and deploying production AI systems, custom integrations, and agentic workflows using LLM-based platforms - Hands-on experience with Model Context Protocol (MCP) architecture or similar plugin/connector frameworks and workflow orchestration tools (n8n, Airflow, LangGraph) for complex AI pipelines - Demonstrated expertise with containerization technologies (Docker, Kubernetes) and cloud-native deployment patterns for scalable AI systems - Solid understanding of Amazon Web Services cloud platform including their native AI/ML services, vector databases, graph databases, and observability solutions - Experience with RESTful API design, GraphQL, and event-driven architectures across multiple LLM providers (OpenAI, Anthropic, Bedrock, Groq) - Experience with advanced prompt engineering techniques and specialized knowledge of ensemble prompting strategies for effectively combining and synthesizing outputs from multiple LLM models - Proficient with infrastructure-as-code tools (e.g., terraform) - Experience with CI/CD pipelines and automated deployment strategies - Familiarity with security best practices for AI systems, including authentication, authorization, logging, and data encryption - Strong understanding of microservices architecture and distributed systems - Proficient with version control systems (e.g., Git) and effective collaborative development workflows - Must be a US Citizen and eligible to obtain and maintain a US Security Clearance Preferred Experience: - Experience building custom LLM integrations, RAG architectures, or AI agent frameworks beyond standard implementations using frameworks such as LangChain - Familiarity with graph databases and advanced vector database optimization techniques - Experience with specialized LLM evaluation frameworks and benchmarking methodologies, including tools like LangFuse - Experience with monitoring and observability tools (Datadog, New Relic, Prometheus/Grafana) - Familiarity with design and documentation tools for creating system architecture diagrams - Experience with component development frameworks like Storybook - Knowledge of Outline or similar documentation platforms for technical knowledge management - Experience with project management and issue tracking tools such as Jira - A portfolio of past AI projects or MCP connector repositories with code samples or GitHub links - Experience auditing third-party AI services and dependencies - Familiarity with compliance frameworks relevant to AI systems (CMMC, FedRAMP) - Penchant for learning new AI technologies and frameworks, balanced with strong organizationally-minded thinking - Ability to make effective architecture decisions for AI systems and document them clearly - Design-minded attention to detail in user interface implementation for AI-powered applications - Ability to travel as needed - Active Security Clearance Clearance Requirements Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. To learn more about the security clearance process please access this link. EEOC & Know Your Rights Accelint companies are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs. For more information about your rights, please review the "Know Your Rights" poster from the Equal Employment Opportunity Commission (EEOC). Know your Rights: English Spanish Pay Scales & Benefits The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors. Benefits include… - Paid Time Off - Paid Company Holidays - Medical, Dental & Vision Insurance - Optional HSA and FSA - Base and Voluntary Life Insurance - Short Term & Long-Term Disability Insurance - 401k Matching - Employee Assistance Program