• Diseñar y construir sistemas de agentes de IA capaces de ejecutar flujos de trabajo autónomos (agentic workflows), orquestando múltiples modelos, herramientas y fuentes de datos para resolver problemas complejos de negocio. • Desarrollar con programación asistida por IA (Claude Code, Cursor, Copilot…), maximizando tu productividad y la del equipo. • Implementar soluciones de IA Generativa en producción : sistemas RAG avanzados, chatbots inteligentes, pipelines de procesamiento de lenguaje natural, generación de contenido y automatizaciones basadas en LLMs. • Integrar la IA en el stack de producto , conectando soluciones inteligentes con el frontend, backend, APIs y plataformas de datos existentes de nuestros clientes. • Experimentar y prototipar rápido : alineado con nuestra filosofía de iteración de alta frecuencia, probarás nuevos modelos, técnicas y arquitecturas para validar hipótesis de crecimiento con IA. • Contribuir a la estrategia de IA de Product Hackers , identificando oportunidades para aplicar inteligencia artificial al Growth de productos digitales y proponiendo nuevas líneas de servicio.

Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world’s manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together. About the RoleWe are looking for a Senior AI Software Engineer to join the GenAI Infrastructure team and build production-grade GenAI capabilities and the infrastructure behind them. This is a hands-on engineering role focused on AI agents, RAG pipelines, tool-calling workflows, backend services, data-access layers, evaluation, observability, and reusable GenAI infrastructure used across product teams. The role is not focused on model research or prompt design alone. We are looking for a strong software engineer who can design, build, ship, and operate reliable AI-powered systems in production. What You’ll Do - Build reusable infrastructure, SDKs, and internal frameworks for AI-powered product capabilities. - Design and implement AI agents, RAG flows, tool-calling workflows, and LLM orchestration pipelines. - Build production-grade GenAI services, APIs, and backend infrastructure. - Integrate LLM workflows with internal microservices, data platforms, vector search, and event-driven systems. - Design secure data-access patterns that enforce authorization, tenant separation, and user-level scope. - Implement evaluation, tracing, monitoring, and quality-control mechanisms for GenAI systems. - Improve latency, reliability, fallback behavior, cost efficiency, and production readiness. - Work on customer-facing AI experiences, including conversational and proactive agentic product flows. - Collaborate with backend engineers, product managers, data engineers, AI/ML engineers, and domain experts. Basic Qualifications - 6+ years of professional software engineering experience. - Strong Python development skills. - Strong backend engineering background, including APIs, services, integrations, or microservices. - Proven experience designing, shipping, or operating LLM-powered applications or GenAI systems. - Experience with RAG, AI agents, tool/function calling, prompt orchestration, evaluation, and observability. - Experience with microservices, distributed systems, and production backend architecture. - Strong understanding of system design, reliability, security, scalability, latency, and maintainability. - Ability to work with complex data models and expose them safely through AI systems. - Ability to operate in ambiguous technical areas and turn prototypes into production-ready systems. - Strong communication skills and ability to explain technical decisions clearly. Preferred Qualifications - Experience with LangChain, LangGraph, or LangSmith. - Experience with Go, MongoDB, Databricks, Kubernetes, Docker, REST APIs, vector search, or event-driven systems. - Experience with Azure OpenAI, Gemini, or similar LLM platforms. - Experience building or using knowledge graphs, GraphRAG, or graph databases such as Neo4j. - Experience building multi-agent systems or orchestrating multiple specialized agents/tools in production. - Experience building internal platforms, SDKs, developer tools, or shared engineering infrastructure. - Experience with authorization, data segregation, multi-tenant systems, or user-level data scoping. - Experience in industrial, IoT, predictive maintenance, manufacturing, or operational-data domains. What Success Looks Like - You build reusable infrastructure that accelerates GenAI development across teams. - You ship reliable GenAI capabilities that run in production. - You improve how AI agents retrieve data, call tools, enforce permissions, and generate grounded responses. - You contribute to practical standards around GenAI architecture, evaluation, monitoring, security, and deployment. Perks - Stock options - Paid parental leave - Flex PTO Augury is a people-first organization. We believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and we welcome those from all backgrounds and varying experiences. We are committed to providing employees with a work environment free of discrimination and harassment. We believe that diversity is more than just good intentions, and we are committed to creating an inclusive environment for all employees. Augury is a proud equal opportunity employer, we strive to create a work environment in which everyone, all applicants, employees, customers, guests, and vendors feel safe and comfortable. We commit to maintain a workplace that is free of any type of harassment and does not tolerate anyone intimidating, humiliating, or hurting others. We prohibit willful discrimination based on age, gender, ethnicity, race, color, religion, political opinions, sexual orientation, sexual identity or expression, military or veteran status, disability or any other characteristic protected by law.

Design and implement intelligent agent architectures, develop multi-agent systems for communication and collaboration, and build advanced pipelines integrating unstructured data with knowledge graphs to enhance AI reasoning and performance.

AI Engineer Locations: Fort Belvoir, VA Reston, VA Hybrid time type Full time job requisition id R0239413 Job Description: AI Engineer The Opportunity: As an experienced engineer, you know that artificial intelligence is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support an enterprise-wide application and data capability. As an artificial intelligence engineer on our national security team, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll own and define the direction of critical solutions by applying best-fit ML algorithms and technologies. You'll be part of a large community of artificial intelligence engineers across the company and collaborate with data engineers, data scientists, solutions architects, and MLOps engineers to deliver world class solutions, including processing data and information at a massive scale. Your skills and extensive technical expertise will guide clients as they navigate the landscape of AI/ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define AI strategy for our national security customers. Join us. The world can't wait. You Have: - 3+ years of experience in software engineering, machine learning engineering, or AI systems development using Python - Experience building, deploying, and maintaining LLM-powered systems and complex data pipelines in production environments - Experience implementing advanced prompting strategies, LangChain or LlamaIndex AI orchestration frameworks, vLLM or TGI LLM inference engines, and tool calling or agentic workflows - Experience integrating AI components, including embeddings, vector databases such as LanceDB, pgvector, or Elasticsearch, and Retrieval-Augmented Generation (RAG) pipelines - Ability to translate early-stage prototypes into robust, scalable production systems - Ability to take ownership of system performance, continuously optimizing for latency, throughput, and high reliability - TS/SCI clearance - Bachelor's degree Nice If You Have: - Experience collaborating with MLOps, DevOps, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling - Experience working with AWS, Azure, or GCP cloud platforms and containerization technologies, such as Docker or Kubernetes - Experience with underlying model architectures, inference optimization techniques, or fine-tuning open-source models - Experience with distributed systems, streaming data such as Kafka, or integrating AI services into larger enterprise microservice architecture - Security+ Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.