Clera

<h3>About the Role</h3><p>Join a small, senior team building autonomous AI agents that handle real executive workflows. You will design new capabilities, measure their reliability, and improve them using evidence from real conversations before changes reach users.</p><h3>What You'll Do</h3><ul><li><p>Build agents that complete delegated work end to end with minimal user oversight.</p></li><li><p>Define trustworthy measures of agent quality and evaluate performance across representative tasks.</p></li><li><p>Develop new agent capabilities for tools people already use, and verify they are ready before launch.</p></li><li><p>Investigate production failures and deliver durable, measurable fixes.</p></li><li><p>Build systems to detect known failure patterns and less predictable issues at scale.</p></li><li><p>Improve agent recovery when tools or websites fail.</p></li><li><p>Create repeatable evaluation practices so engineers can assess whether agent changes improve outcomes.</p></li></ul><h3>What We're Looking For</h3><ul><li><p>At least 3 years in data science or machine learning, building or delivering evaluation systems, metrics, or product quality measurement.</p></li><li><p>Strong production proficiency in Python and SQL, including analysis of large datasets and automated pipelines.</p></li><li><p>Experience designing evaluation frameworks with measurable criteria, representative datasets, and appropriate metrics.</p></li><li><p>Experience building or operating agents for real users and improving their reliability.</p></li><li><p>Familiarity with statistics, experiment design, and realistic end-to-end simulations.</p></li><li><p>Experience owning systems through production launch and measuring their impact.</p></li><li><p>Experience with post-training, fine-tuning, or reinforcement learning is relevant.</p></li><li><p>Working knowledge of Django, React, and TypeScript is useful.</p></li><li><p>Typically suited to candidates with fewer than 5 years of engineering experience and a track record of progression or startup ownership.</p></li></ul><h3>Compensation &amp; Benefits</h3><p>Base salary: $200,000 to $300,000 annually. Visa sponsorship is not available.</p><h3>Location</h3><p>On-site in Palo Alto, California, with four days per week in the office.</p>

Member of Technical Staff, Agents

<h3>About the Role</h3><p>Join a core product team building agentic systems that automate complex workflows across regulated and enterprise domains. You will ship production LLM-based services and help make them reliable, safe, and useful for customers.</p><h3>What You'll Do</h3><ul><li><p>Design and maintain agentic systems for multi-step workflows across areas such as healthcare, legal, fintech, logistics, and compliance.</p></li><li><p>Build production retrieval-augmented generation pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing.</p></li><li><p>Implement multi-agent orchestration, tool calling, memory, and reasoning components.</p></li><li><p>Develop evaluation and safety tools to measure model performance, detect regressions, and support reliable production use.</p></li><li><p>Deliver full-stack AI features, from APIs and data models through frontend and backend implementation, testing, deployment, and monitoring.</p></li><li><p>Work with product and design partners to set priorities and success metrics, then improve features using user feedback and telemetry.</p></li></ul><h3>What We're Looking For</h3><ul><li><p>Two to eight years of software engineering experience delivering user-facing or backend products, including production engineering experience in a product-focused environment.</p></li><li><p>Practical experience deploying LLM services in production, including prompt design, orchestration, and tool integration.</p></li><li><p>Proficiency with Python and TypeScript/React or equivalent, plus cloud platforms such as AWS or GCP and relational or NoSQL databases.</p></li><li><p>Working knowledge of RAG, vector databases, embeddings, and retrieval pipelines.</p></li><li><p>Experience building automated tests, evaluations, and monitoring for production AI systems, as well as API-driven, high-throughput systems and real-time features.</p></li><li><p>Familiarity with agent or workflow frameworks such as LangGraph or CrewAI, and orchestration tools such as Temporal or Trigger.</p></li><li><p>Experience with multi-tenant or enterprise systems, or regulated domains such as healthcare, fintech, or legal; familiarity with fine-tuning or multimodal models is also useful.</p></li><li><p>A completed university degree and a track record of owning features from data model through deployment and monitoring.</p></li></ul><h3>Compensation &amp; Benefits</h3><p>Base salary: $150,000 to $180,000 annually. Visa sponsorship is not available.</p><h3>Location</h3><p>On-site in San Francisco, California, United States.</p>

Mid-Level AI Engineer

<h3>About the Role</h3><p>Join a small, early-stage public safety technology team building AI-powered tools for law enforcement. You will design and deploy secure, real-world systems that help investigators search and analyze evidence for serious cases.</p><h3>What You'll Do</h3><ul><li><p>Build resilient, secure distributed systems for AI-driven evidence search and analysis.</p></li><li><p>Deploy large language models, vision models, and other machine learning systems in production.</p></li><li><p>Design retrieval-augmented generation pipelines and semantic search for unstructured evidence.</p></li><li><p>Architect structured data systems, including query planning and semantic reasoning layers.</p></li><li><p>Build or work with agentic systems that reason, plan, and take actions across investigative data.</p></li><li><p>Evaluate emerging AI models and infrastructure approaches, and own solutions from discovery through deployment.</p></li></ul><h3>What We're Looking For</h3><ul><li><p>At least 6 years of backend engineering experience building distributed systems, with production deployment experience for LLMs, vision models, or other ML systems.</p></li><li><p>Proficiency across multiple programming languages, including Python, and experience with JavaScript or React.</p></li><li><p>Experience building secure, resilient systems and working across multiple infrastructure providers.</p></li><li><p>Hands-on experience with RAG or similar pipelines for unstructured data, and structured data systems involving query planning, semantic modeling, or reasoning.</p></li><li><p>Experience in both established engineering environments and early-stage startups is valued.</p></li><li><p>Agentic AI experience is a plus. Applicants must be authorized to work in the United States; visa sponsorship is not available.</p></li></ul><h3>Compensation &amp; Benefits</h3><p>Base salary: $150,000 to $215,000 annually. Equity details were not provided.</p><h3>Location</h3><p>Hybrid role based in San Francisco, California.</p>

Senior Member of Technical Staff

<h3>About the Role</h3><p>Join an early-stage AI marketing technology company as its first senior AI hire. You will own the quality and intelligence of multi-channel marketing agents, shape the AI architecture and evaluation systems, and help build the AI team as the company grows.</p><h3>What You'll Do</h3><ul><li><p>Improve agent output and content quality across social channels and article writing, using evaluation systems to measure results.</p></li><li><p>Improve search engine optimization and generative engine optimization performance.</p></li><li><p>Build feedback loops that help agents learn from real-world outcomes and performance signals.</p></li><li><p>Improve AI infrastructure, agent architecture, model strategy, and supporting data pipelines.</p></li><li><p>Help hire and lead the AI team as the organization grows.</p></li></ul><h3>What We're Looking For</h3><ul><li><p>At least 3 years of experience building production machine learning or AI systems, including recent hands-on work shipping LLM products or agents.</p></li><li><p>Experience designing evaluations and learning from outcome signals at scale in search, ranking, recommendations, or related domains.</p></li><li><p>Proficiency in TypeScript, including Next.js, and Python for data analysis, evaluations, and model work, with the ability to ship end to end.</p></li><li><p>Experience building feedback loops and improving production AI infrastructure, agent architecture, or model strategy.</p></li><li><p>Search, ranking, or AI answer engine experience, particularly involving Google, is valuable.</p></li><li><p>Experience owning and shipping work in a startup or small team; marketing or go-to-market experience is a plus, as are recommendation systems, algorithms, and reinforcement learning.</p></li><li><p>Strong technical fundamentals demonstrated through relevant work, research, or comparable accomplishments.</p></li></ul><h3>Compensation &amp; Benefits</h3><p>Target annual compensation is $180,000 to $230,000 USD. Visa sponsorship is available.</p><h3>Location</h3><p>On-site in San Francisco, California.</p>

Founding Applied AI Engineer

<h3>About the Role</h3><p>Join a product engineering team building dependable AI agent capabilities for productivity workflows. You will turn advances in reasoning, planning, memory, and tool use into reliable features that users can trust with real work.</p><h3>What You'll Do</h3><ul><li><p>Explore new agent capabilities and identify useful product opportunities.</p></li><li><p>Build reusable skills and workflows that address practical user needs.</p></li><li><p>Develop a Python agent harness for orchestration, context management, structured outputs, retries, and error recovery.</p></li><li><p>Design integrations with email, calendars, messaging platforms, browsers, documents, CRMs, and other business software.</p></li><li><p>Own capabilities across Python and Django services, APIs, React interfaces, data models, background jobs, observability, and production operations.</p></li><li><p>Create platform abstractions that make agent capabilities easier to compose and maintain.</p></li><li><p>Improve latency, cost, reliability, and safety across agent execution.</p></li><li><p>Use evaluations, production traces, and user feedback to diagnose issues and improve system quality.</p></li><li><p>Set technical direction for ambiguous problems and contribute to design reviews.</p></li></ul><h3>What We're Looking For</h3><ul><li><p>At least 5 years of experience building and operating production software systems end to end.</p></li><li><p>Strong Python skills, including maintainable production code and asynchronous systems; experience with Django, APIs, React, and TypeScript.</p></li><li><p>Hands-on experience with agent systems, including planning, tool calling, structured outputs, context and state management, retries, and orchestration.</p></li><li><p>Experience building integrations with external APIs and business software.</p></li><li><p>Ability to translate evolving technology and loosely defined user needs into practical product features.</p></li><li><p>Experience designing reusable systems and platform abstractions, and owning production observability, debugging, and iteration.</p></li><li><p>Strong analytical debugging skills across prompts, model outputs, application code, databases, APIs, and user interactions.</p></li><li><p>Background in LLMs, prompt engineering, or model evaluation in production is useful, as is experience optimizing distributed systems or building autonomous systems and workflow automation.</p></li><li><p>Strong computer science and engineering fundamentals, clear communication, and a record of sustained growth in a role or startup experience.</p></li></ul><h3>Compensation &amp; Benefits</h3><p>Visa sponsorship is not available.</p><h3>Location</h3><p>On-site in Palo Alto, California, United States.</p>

Agent Engineer

<h3>About the Role</h3><p>Join an engineering team working in data infrastructure and analytics. The role contributes to building and supporting data-driven systems using modern software and cloud technologies.</p><h3>What You'll Do</h3><ul><li><p>Develop and maintain engineering solutions using Python and SQL.</p></li><li><p>Work with machine learning tools, including TensorFlow, as part of data-focused projects.</p></li><li><p>Use Git to collaborate on code and manage changes.</p></li><li><p>Build and support systems on cloud infrastructure.</p></li></ul><h3>What We're Looking For</h3><ul><li><p>Experience with Python and SQL.</p></li><li><p>Familiarity with TensorFlow and Git.</p></li><li><p>Experience working with cloud infrastructure.</p></li><li><p>Background or interest in data infrastructure and analytics.</p></li></ul><h3>Compensation &amp; Benefits</h3><p>Visa sponsorship is not available.</p><h3>Location</h3><p>Hybrid role based in Boston, Massachusetts, United States.</p>

Engineering

About the Role

What You'll Do

What We're Looking For

Compensation & Benefits

Location

Explore related Data & AI jobs

Other jobs at Clera

Member of Technical Staff, Agents

Mid-Level AI Engineer

Senior Member of Technical Staff

Founding Applied AI Engineer

Agent Engineer