This role involves hands-on design, development, and deployment of enterprise-grade agentic AI solutions. You will work on multi-agent systems, workflow automation, and AI integration across business processes. The position offers exposure to cutting-edge AI technologies and collaboration with cross-functional teams.
This position is posted by Jobgether on behalf of a partner company.
Own the end-to-end lifecycle of ML model deployment—from training artifacts to production inference services.
Design, build, and maintain scalable inference pipelines using modern orchestration frameworks (e.g., Kubeflow, Airflow, Ray, MLflow).
Implement and optimize model serving infrastructure for latency, throughput, and cost efficiency across GPU and CPU clusters.
MARA is building a modular platform that unifies IaaS, PaaS, and SaaS which will enable governments, enterprises, and AI innovators to deploy, scale, and govern workloads across data centers, edge environments, and sovereign clouds. They are redefining the future of sovereign, energy-aware AI infrastructure.
Design, implement, and deploy AI-powered features, including model training, fine-tuning, and prompt engineering workflows.
Translate product requirements into robust, production-ready AI solutions, working with Product Managers, Software Engineers, and Data Scientists.
Optimize models and infrastructure for scalability, latency, and cost efficiency, partnering with DevOps and MLOps to ensure reliable and maintainable AI pipelines.
Paper is reimagining how schools support students so that every learner can reach their full potential.
Architect, develop, and deploy multimodal generative AI systems.
Lead implementation of vision architectures and multimodal embedding frameworks.
Design and optimize systems integrating LLMs with visual and audio modalities.
Truelogic is a leading provider of nearshore staff augmentation services, delivering top-tier technology solutions to companies of all sizes. Their team of 600+ highly skilled tech professionals, based in Latin America, partners with U.S. companies on impactful projects, valuing expertise and aspirations.
Design, develop, and deploy production-grade machine learning solutions.
Work on complex ML problems and mentor junior engineers.
Contribute to building ML accelerators and best practices.
Provectus is an Artificial Intelligence (AI) consultancy and solutions provider. They help companies across industries gain a competitive edge, accelerate growth, and create new value by applying AI technologies and data-driven insights.
Lead domain-specific model optimization using PEFT (LoRA/QLoRA) and knowledge distillation to balance cost, latency, and reasoning capability.
Build next-gen Retrieval-Augmented Generation pipelines using hybrid search, cross-encoders, and self-correcting retrieval loops.
Design and deploy multi-agent systems using frameworks like LangGraph or CrewAI, enabling autonomous task planning and tool-use (Function Calling).
ServiceNow is a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Their intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
Lead AI discovery sessions and technical assessments with clients, developing prototypes and proof-of-concepts for real-world applications.
Guide internal AI product development, evaluating and integrating emerging tools and frameworks into delivery methodologies.
Author technical content such as white papers, case studies, and blog posts, and deliver presentations at conferences or webinars.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
Design scalable, future-proof data platforms optimized for AI research workloads.
Build efficient self-serve data processing pipelines leveraging GCP's advanced services.
Implement guardrails for cost, quality, and performance.
AssemblyAI is at the forefront of Speech AI, creating powerful models for speech-to-text and speech understanding via an API. They're a remote team of startup veterans and AI researchers looking to build one of the next great AI companies.
Lead the design, development, and deployment of AI/ML models.
Build and maintain production-grade ML pipelines and model monitoring.
Mentor and develop junior AI engineers, laying the foundation for AI best practices.
Payabli enables any software company to become a payments company through its payment infrastructure and monetization platform to boost enterprise value.
Lead and mentor a team of AI engineers, providing coaching and performance feedback. Oversee the delivery of AI-powered product features, from prototypes to scalable production systems. Collaborate with Product, Design, and Data teams to ensure AI solutions are impactful and aligned with business goals.
Hostinger is shaping the future of online success powered by AI and driven by people, providing tools that help individuals and small businesses succeed online faster and easier.
Lead AI and ML initiatives to design and implement production-grade machine learning systems and pipelines. Develop scalable infrastructure for model training, evaluation, and deployment, ensuring reliability and observability. Collaborate with cross-functional teams to drive innovation and efficiency.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
Invent and prototype new model architectures that optimize inference speed, including on edge devices.
Build and maintain evaluation suites for multimodal performance across a range of public and internal tasks.
Collaborate with the data and infrastructure teams to build scalable pipelines for ingesting and preprocessing large audio datasets.
Liquid AI, spun out of MIT, aims to build efficient AI systems at every scale, creating Liquid Foundation Models that operate on-device and under real-time constraints.
Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows.
Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control.
Improve reliability, performance, and safety across existing Python codebases.
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
As a Senior MLE, debug complex AI implementations and optimize inference performance. Work directly with product teams building solutions and develop blueprints for proven patterns. Operate in a high-velocity environment where priorities shift rapidly based on team needs.
Join the team redefining how the world experiences design.
Architect, build, test, and monitor AWS-based workflows to solve critical business problems
Develop microservices for ML-driven applications using Python or Java, ensuring scalability and resilience.
Guarantee high levels of service availability through participation in an on-call rotation.
PlayStation is a global leader in interactive and digital entertainment. They've thrilled gamers since 1994 and are a wholly-owned subsidiary of Sony Corporation, striving to create an inclusive environment that empowers employees and embraces diversity.
Research and develop advanced MLLMs, GenAI, and Computer Vision techniques for cloud, devices and sensors from multimodal data sources.
Design and implement efficient and scalable MLLM models for inference and analysis of visual data.
Axon is on a mission to Protect Life with their ecosystem of devices and cloud software. Life at Axon is fast-paced, challenging and meaningful with a focus on growth and making a difference.
The AI Engineer develops and deploys agentic AI solutions for clients. Implements components for document processing, workflow automation, data retrieval, and structured output generation. Contributes to monitoring, logging, metrics, and guardrail configurations for agentic systems.
AHEAD builds platforms for digital business by weaving together advances in cloud infrastructure, automation and analytics, and software delivery.
Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
Improve reliability, performance, and safety across existing Python codebases
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.