Required Senior GenAI Infrastructure Engineer – ML
About the Team
We empower AI and data science teams at every stage of the model lifecycle, from training to deployment, offering advanced model security and seamless operations across cloud and self-hosted environments.
As we expand, we're looking for a GenAI Infrastructure Engineer to help shape the future of our GenAI platform, trusted by the world's leading companies to power their next-generation GenAI solutions.
In this role, youll build cutting-edge AI infrastructure, design and develop core components such as model serving, prompt management, guardrails, gateways, and evaluation frameworks. Youll help provide organizations with the precise tools to integrate and maintain GenAI into their workflows, ensuring scalability, compliance, and an excellent developer experience.
Youll collaborate with platform, security, AI/ML, and data teams to optimize deployment, monitoring, and governance of GenAI applications at scale. Were looking for data-driven problem-solvers who thrive in fast-paced environments and are passionate about building AI-driven solutions.
If you want to build the infrastructure of the future from concept to production, wed love to hear from you!
As a GenAI Infrastructure Engineer ML you will…
Design and develop the infrastructure of our new GenAI solution.
Develop and manage components such as prompts, guardrails, and model gateways, tracing and evaluation frameworks.
Collaborate with cross-functional teams on shaping how AI applications are structured and managed.
Stay up to date with the latest advancements in GenAI infrastructure, tooling, and frameworks, integrating industry best practices.
About the Team
We empower AI and data science teams at every stage of the model lifecycle, from training to deployment, offering advanced model security and seamless operations across cloud and self-hosted environments.
As we expand, we're looking for a GenAI Infrastructure Engineer to help shape the future of our GenAI platform, trusted by the world's leading companies to power their next-generation GenAI solutions.
In this role, youll build cutting-edge AI infrastructure, design and develop core components such as model serving, prompt management, guardrails, gateways, and evaluation frameworks. Youll help provide organizations with the precise tools to integrate and maintain GenAI into their workflows, ensuring scalability, compliance, and an excellent developer experience.
Youll collaborate with platform, security, AI/ML, and data teams to optimize deployment, monitoring, and governance of GenAI applications at scale. Were looking for data-driven problem-solvers who thrive in fast-paced environments and are passionate about building AI-driven solutions.
If you want to build the infrastructure of the future from concept to production, wed love to hear from you!
As a GenAI Infrastructure Engineer ML you will…
Design and develop the infrastructure of our new GenAI solution.
Develop and manage components such as prompts, guardrails, and model gateways, tracing and evaluation frameworks.
Collaborate with cross-functional teams on shaping how AI applications are structured and managed.
Stay up to date with the latest advancements in GenAI infrastructure, tooling, and frameworks, integrating industry best practices.
Requirements:
5+ years of experience as a Software Engineer
Experienced in designing, developing, and debugging complex, distributed systems (microservices, event-driven)
Proven hands-on experience in containerized environments, microservices and Kubernetes
Experienced with at least one of the main cloud provider platforms (e.g. AWS, GCP)
Experience with designing, structuring, and maintaining Python SDKs
Familiarity with AI application development frameworks and tools (e.g. LangChain, OpenAI, Hugging Face, MLflow)
Experienced in Java and Python
Bonus Points:
Experience working with AI Agents and LLM-based application frameworks
Background in data engineering, feature stores, or vector databases for AI workloads
Previous experience working in developer-first companies or on AI-powered solutions.
5+ years of experience as a Software Engineer
Experienced in designing, developing, and debugging complex, distributed systems (microservices, event-driven)
Proven hands-on experience in containerized environments, microservices and Kubernetes
Experienced with at least one of the main cloud provider platforms (e.g. AWS, GCP)
Experience with designing, structuring, and maintaining Python SDKs
Familiarity with AI application development frameworks and tools (e.g. LangChain, OpenAI, Hugging Face, MLflow)
Experienced in Java and Python
Bonus Points:
Experience working with AI Agents and LLM-based application frameworks
Background in data engineering, feature stores, or vector databases for AI workloads
Previous experience working in developer-first companies or on AI-powered solutions.
This position is open to all candidates.
