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Builds AI/GenAI agentic solutions for real-world business challenges, designing scalable production systems and collaborating with cross-functional teams to prototype and deploy innovative AI products.
Build and deploy AI systems for edge and embedded environments, from R&D to production, focusing on model training, evaluation, optimisation, and MLOps to deliver real-world impact in demanding settings.
AeroVect is seeking an MLOps Software Engineer to build and maintain data pipelines, manage large-scale sensor datasets, and optimize training workflows for autonomous ground handling systems. The role involves developing tooling to support perception engineers using Python, ROS2, and cloud infrastructure.
Leads product strategy for a life sciences AI data platform, defining scalable data products for clinical AI and pharma use cases while collaborating with engineering and data science teams.
Site Reliability Engineer focused on ensuring vLLM’s AI inference engine operates reliably, scalably, and with minimal downtime by designing resilient systems, improving observability, and driving incident response improvements.
Build and deploy full-stack AI applications for public-sector clients, integrating Python/Node.js/React with cloud infrastructure and LLM-driven systems.
Designs and deploys advanced AI/ML systems (LLMs, agentic workflows, multimodal models) for government/commercial clients, optimizing for production, edge, and security.
Senior engineer maintaining and governing AI systems for public-sector clients, ensuring reliability, performance, and compliance with strict SLAs and governance standards.
Senior ML engineer building AI/ML systems for national security, turning research into production across cloud, edge, and air-gapped environments using Python, Docker, and modern frontend tools.
Build scalable data platforms and AI applications using Java/Spring Boot backend and Angular frontend, deploying on cloud infrastructure.
Senior Site Reliability Engineer designs, deploys, and maintains cloud-based AI infrastructure on Kubernetes and CNCF tools, ensuring reliability and performance while mentoring teams and customers.
An AI QA Engineer who designs and runs automated tests to validate AI models and algorithms, ensuring reliability and performance in AI systems.
The Lead Engineer will define AI QA strategy, lead testing efforts for AI initiatives, and mentor QA engineers. The role focuses on ensuring quality governance for AI, GenAI, and LLM-based applications.
Build and deploy LLM-based agent systems for automotive use cases, including reasoning pipelines, preference data training, and end-to-end applications for sales and support.
Booz Allen Hamilton is seeking an AI Software Engineer to develop user-focused AI and machine learning solutions that improve organizational efficiency and decision-making.
The MLOps Engineer will lead machine learning strategy and development, specifically focusing on Customer 360 initiatives. This is a 6-month contract role.
Design and implement AI-driven security automations for customers, advising on controls and collaborating with sales and success teams to solve real-world security challenges.
The AI Cloud Security Engineer will implement and manage security controls for Generative and Agentic AI workloads on AWS. The role focuses on establishing governance and protection using tools like AWS Bedrock Security Guardrails and CrowdStrike AIDR.
The Senior Full Stack Engineer will build AI-enabled SDLC platform capabilities, including backend services, user interfaces, and agent orchestration flows to support autonomous software delivery.
The AI Solutions Architect will bridge business strategy and enterprise architecture by designing and implementing GenAI and LLM-based solutions. This senior role involves executive stakeholder management and the continuous evaluation of emerging AI technologies.
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