staff-level engineers
Cleo Consulting
Redwood City, CA, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Automated Storage and Retrieval Systems
Computer Programming
Distributed Systems
Python (Programming Language)
MongoDB
Automatic Programming
Enterprise Software Applications
Large Language Models
+8 more
Prompt Engineering
Backend
Information Technology
Apache Kafka
Virtual Agents
Api Design
Automation Anywhere
Microservices
Job description
- Client is building the next generation of agentic AI infrastructure. Backed by Norwest, True Ventures, and Shasta Ventures, we develop AI agents that automate complex business workflows, enhance employee productivity, and enable seamless human-AI collaboration at scale. Harper by Client was named a 2025 Top HR Product by HR Executive, while Client was also ranked #2 on Fast Company’s 2026 list of the Most Innovative Companies in Human Resources.
- We’re looking for staff-level engineers who combine strong distributed systems expertise with deep practical understanding of AI workflows and harness engineering - engineers who know how to make GenAI systems work reliably in production.
What You’ll Build
- Scalable agentic orchestration frameworks that integrate seamlessly with enterprise systems, enabling no-code automation across complex workflows
- Pioneering memory architectures and retrieval systems that overcome traditional RAG limits, giving agents persistent context across multi-step processes
- AI harnesses that improve the reliability, evaluation, observability, and reasoning quality of LLM-powered systems- including prompt optimisation, hallucination reduction, and LLM context management
- Domain-optimised reasoning LLMs that unlock new reasoning capabilities for nuanced business scenarios
- Backend infrastructure powering multi-agent workflows, human-in-the-loop systems, and intuitive UIs for seamless human-AI collaboration on documents and processes
- Tooling that enables rapid experimentation, evaluation, and deployment of AI workflows at scale
- 7 - 15 years of experience as a platform engineer (now at Staff level and ideally with Agentic AI)
- Visa sponsorship available
- Existing H1B transfer, TN-1 but no net new H1Bs
- Hybrid work policy
- In-person 2 days per week at our headquarters in Redwood City, CA
- Tech stack: Python, OpenAI API, Claude API, Pinecone, Claude Code/Codex, Kafka, MongoDB, Java (nice to have), AWS
About the team
- Our high-velocity team moves fast, thinks big, and constantly pushes the boundaries of what’s possible at the frontier of AI technology. We work hard, but maintain a deeply collaborative and fun-loving atmosphere-from virtual lunches and draw battles to cooking classes that bring our distributed team together. While our headquarters is in Redwood City, CA and also have an office in New York City, we operate as a hybrid/remote team across the US.
Requirements
- 7 - 15 years of experience as a platform engineer (now at Staff level and ideally with Agentic AI)
Work experience
- Tech lead experience as a staff engineer driving architectural and design decisions, mentoring junior team members, and leading execution in fast-moving environments
- Experience building for AI products and agents
- Ideally a blend of startups and scale at more established companies
Education
- BS/MS in Computer Science or related fields
Hard skills
- Proficient in Python or Java and 3-6+ months useing AI for everyday workflows
- Experience with microservices, vector databases, and asynchronoparallel programming, and prompt engineering.
Soft skills
- Strong internal motivation and mission alignment, thoughtful and resourceful
- Positive and collaborative: holds firm and others accountable without being abrasive and is independent but knows when to ask for help
Apply for this position
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