Agent Platform Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+20 more
Job description
- Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.
- Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.
- Build backend services, APIs, and platform capabilities supporting AI-driven applications.
- Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.
- Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.
- Optimize retrieval, inference, and execution performance across diverse deployment environments.
- Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.
- Implement model routing, inference optimization, caching, and fallback strategies.
- Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.
- Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.
- Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.
- Contribute to technical architecture, engineering standards, and long-term platform strategy.
Additional Details
- Fully onsite 5 days per week
- Individual contributor role with substantial technical ownership
- Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies
- Staff-level candidates may provide technical leadership, mentorship, and architecture guidance
- Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent practical experience.
- 5+ years of experience building and operating production software platforms and distributed systems.
- Strong Python development experience with expertise in backend services, APIs, databases, and event-driven architectures.
- Experience building AI, search, retrieval, workflow automation, or intelligent application platforms.
- Hands-on experience with workflow orchestration, long-running processes, failure recovery, and distributed execution models.
- Experience with semantic retrieval and structured data access technologies such as SQL, graph databases, or analytical query platforms.
- Experience training, fine-tuning, adapting, evaluating, or deploying modern AI models.
- Experience deploying and optimizing applications across multiple computing environments, including cloud, edge, or on-premises infrastructure.
- Strong analytical, problem-solving, and system design capabilities.
- Excellent written and verbal communication skills., * Experience with knowledge graphs, hybrid retrieval, entity-centric search, or data provenance systems.
- Experience with workflow orchestration platforms and durable execution frameworks.
- Familiarity with AI agent frameworks, tool orchestration, model routing, and retrieval-augmented architectures.
- Experience implementing RBAC, ABAC, multi-tenant authorization, or permission-aware data access controls.
- Experience supporting geospatial analytics, mapping systems, or spatial data platforms.
- Experience deploying AI applications within regulated, highly secure, or disconnected environments.
- Knowledge of model serving, inference optimization, GPU acceleration, caching, batching, and performance tuning.
- Experience with TypeScript, React, or modern web application technologies.
- Background in defense, public sector, public safety, intelligence, or other high-consequence operational environments.
- Proven technical leadership experience mentoring engineers and defining platform standards.
Benefits & conditions
- $200K-$300K + discretionary bonus
- Performance-based bonus opportunities
- Comprehensive medical, dental, and vision coverage
- Retirement savings program
- Generous paid time off and company holidays
- Professional development and continuing education opportunities
- Access to cutting-edge AI technologies and large-scale engineering initiatives Technology Doesn’t Change the World, People Do.®
Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more.
About the company
A leading artificial intelligence and advanced analytics organization is seeking an Agent Platform Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Highest Paying Tech Companies for Developers
What is Agentic Programming and Why Should Developers Care?
From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path
Why Upskilling And Reskilling is Important For Developers