StepStone Group
job platform
StaffSoftwareEngineer(AI)
Neural analysis suggests this role is
optimal for mid candidates.
“Staff Software Engineer (AI) at StepStone Group. Skills: agentic AI systems, Large Language Models, scalable, secure, reliable and observable architectures, AWS, Python. Design, architect and deliver agentic, LLM-powered systems in AWS. Provide technical leadership to evolve AI solutions from experimentation into robust, observable and maintainable products”
What You'll Achieve.
move our agentic AI capabilities beyond experimentation and into dependable products that operate safely and effectively at scale; ensure production readiness, scalability, reliability and security; ensure excellence across testing, monitoring, evaluation, guardrails and operational support; raise overall engineering quality
Industry & Context.
What They're Looking For.
Must Have
Staff-level software engineering background, expertise in Python, proven track record delivering production-grade systems, Experience designing, building and operating distributed systems on AWS (or similar cloud platforms), secure development, data protection, compliance, enterprise architecture principles, Hands-on experience integrating LLMs into production, use of APIs (e.g. OpenAI, Bedrock), prompt orchestration, tool usage, interaction patterns, Expertise in AI system design, state management, memory strategies, evaluation approaches, guardrails, observability, performance optimisation for LLM-powered systems, communication and influencing skills, experience mentoring engineers, driving high standards across teams, engaging both technical and non-technical stakeholders
Nice to Have
at least one of Java, TypeScript or. NET, Kubernetes a plus
What You'll Do.
architect and deliver agentic
LLM-powered systems in AWS
Provide technical leadership to evolve AI solutions from experimentation into robust
observable and maintainable products
Define and drive engineering standards
tools and best practices for building responsible
consistent and scalable AI systems
Lead large-scale implementation and deployment
How You'll Work.
Team & Collaboration
Collaborate cross-functionally with product, engineering, ML and data teams; create alignment across teams; help others make confident, pragmatic decisions; engaging both technical and non-technical stakeholders
Communication Scope
communication and influencing skills; explain complex concepts clearly; clearly communicating architectural decisions
Process & Methodology
Lead large-scale implementation and deployment
Full Job Description
At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for jobseekers and companies around the world to find a perfect match in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring. Join our team of 3,000+ employees and be part of reshaping the labour market and becoming the world’s leading job platform. We are recruiting for a Staff Software Engineer (AI) to help design, build and evolve production-grade agentic AI systems. This is a strategic, hands-on engineering leadership role focused on integrating Large Language Models into scalable, secure, reliable and observable architectures. This is an individual contributor leadership role with no direct line management responsibility. You will help move our agentic AI capabilities beyond experimentation and into dependable products that operate safely and effectively at scale across our global marketplace. Working closely with software engineers, machine learning engineers, data scientists, product managers, analysts and technical leaders, you will shape how we build, test, deploy, monitor and govern AI-powered systems. Success in this role will depend as much on influence and communication as on technical depth. You will need to create alignment across teams, explain complex concepts clearly, and help others make confident, pragmatic decisions. Your responsibilities * Design, architect and deliver agentic, LLM-powered systems in AWS, ensuring production readiness, scalability, reliability and security. * Provide technical leadership to evolve AI solutions from experimentation into robust, observable and maintainable products. * Collaborate cross-functionally with product, engineering, ML and data teams to align technical decisions with user needs, business priorities and long-term platform strategy. * Define and drive engineering standards, reusable patterns, t
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