Own the agent and user experience end to end for an early-stage personal AI assistant team.
Compensation
Base salary: $200,000 to $300,000 annually. Visa sponsorship is not available.
Responsibilities
Build the agent decision-making layer, including tool-calling loops, memory, context assembly, prompts, and model routing.
Create evaluation infrastructure with conversation replay, turn-level judges, and regression suites to guide release decisions.
Own product experiences across mobile and web, from onboarding and initial replies to follow-ups, group chats, approvals, and trusted-network features.
Ship features end to end, using experimentation and feature flags to measure outcomes.
Build integrations with email, calendar, booking, payment, and browser tools, including resilient workflows and user approval steps.
Concevoir et développer des agents IA (LLM) pour la facturation, intégrer aux plateformes billing, prototyper, mettre en production, assurer la fiabilité et la supervision, documenter, mesurer la performance, et collaborer avec les équipes produits.
Responsibilities
Concevoir et développer des agents IA (LLM) capables d'automatiser des tâches billing
Intégrer les agents avec les plateformes billing et les SI clients via API et protocoles d'outillage
Prototyper rapidement des cas d'usage avec les frameworks agentiques du marché
Mettre en place des garde-fous, des mécanismes d'évaluation et de supervision humaine pour garantir la fiabilité des agents en production
Documenter les cas d'usage, mesurer la performance et le ROI des agents déployés chez les clients
Requirements
Bac+5 (ingénieur, data science ou équivalent)
Nice to have: expérience ou fort intérêt pour les métiers du billing (abonnement, facturation, dunning)
Lead AI Developer responsible for building production AI agents and raising AI engineering maturity across web, mobile, CMS, and MarTech platforms serving millions of retail energy customers.
Responsibilities
Drive maintenance of systems, creation of technical designs, development and deployment of front-end and/or back-end systems
Lead daily operational activities and measure process quality and compliance
Identify, evaluate, and implement automation and continuous improvement ideas supporting ITIL-aligned processes
Manage creation and implementation of solutions or enhancements to improve overall Vistra data architecture
Engage business users, process owners, architecture, and application teams to define and understand data needs
Design and build the AI layer of a software product, defining how the system reasons, coordinates multi-step tasks and interacts with users. The work covers agentic workflows, model integrations, evaluation and reliability, and close partnership with frontend and backend engineers.
Locations (3)
San Diego, California, United States
Los Angeles, California, United States
San Francisco Bay Area, California, United States
Compensation
Salary: $160K - $250K
Responsibilities
Build multi-step agent workflows that track state, propose actions and carry tasks through to completion.
Link language models to external functions, stored context and lookup layers that span mixed data sources.
Safeguard sensitive information and design fallback behavior for failed tools, incomplete inputs and unreliable model outputs.
Lead the design and governance of enterprise-wide Generative AI architecture, defining strategy, standards, and best practices for scalable, secure, and responsible AI solutions across cloud-native environments.
Responsibilities
Define enterprise-wide Generative AI architecture strategy, standards, and best practices
Design scalable and secure LLM-powered solutions using Azure OpenAI and Azure AI Services
Architect enterprise-grade RAG platforms leveraging vector databases, semantic search, and knowledge management systems
Design and govern Agentic AI ecosystems utilizing AI Agents, tool calling, orchestration, and autonomous workflows
Evaluate and select appropriate foundation models, embeddings, and multimodal architectures
Requirements
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field
Nice to have: Microsoft Certified: Azure Solutions Architect Expert
Nice to have: Microsoft Certified: Azure AI Engineer Associate
Nice to have: Microsoft Certified: Azure AI Fundamentals
Nice to have: Experience working with Fortune 500 enterprise AI transformation programs
Build and maintain full-stack AI systems for hospitality operations, including intent classification, retrieval, tool workflows, evaluation, observability, and user interfaces.
Compensation
Base salary: $130,000 to $220,000 annually, plus 0.20% to 1.20% equity. Benefits include health insurance and a 401(k) match. Visa sponsorship is not available; candidates must be authorized to work in the United States.
Responsibilities
Build response-generation pipelines that classify intent, assemble context, select tools, and determine whether to respond or escalate.
Develop retrieval systems that ground responses in accurate, current customer data, including handling messy inputs.
Build reliable multi-step tool workflows and manage third-party API failures during conversations.
Create evaluation frameworks using real conversations to measure quality and catch regressions.
Implement observability and tracing that make complex agent behavior understandable to support teams.
Requirements
Strong software engineering fundamentals supported by relevant formal education.
Python and GenAI Automation Developer to design and develop intelligent automation solutions for QA, endpoint validation, and operational workflows.
Responsibilities
Design, develop, test, and maintain automation solutions using Python.
Build GenAI-powered applications, intelligent workflows, AI agents, and reusable automation components.
Use Large Language Models to support use cases such as knowledge retrieval, test generation, failure analysis, incident triage, evidence summarization, and remediation recommendations.
Integrate automation solutions with APIs, enterprise systems, telemetry sources, knowledge repositories, and workflow platforms.
Develop reliable and reusable scripts, test frameworks, connectors, and automation modules.
Requirements
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 183,000 - 365,000 in Colorado // 197,000 - 395,000 in Massachusetts // 197,000 - 420,000 in California // 173,000 - 420,000 in North Carolina & Texas The listed salary range reflects base salary. Variable incentives may also be offered.
Responsibilities
Own the reference architecture and engineering standards for production agentic AI systems.
Design reusable agent execution harnesses that separate AI reasoning and planning from deterministic execution.
Lead multi-agent workflows, state management, memory, tool calling, human-in-the-loop controls, and long-running processes.
Define model-agnostic interfaces supporting commercial, cloud-hosted, and open-weight models, including routing, fallback, and workload-based selection.
Architect retrieval, context, and memory services using technologies such as RAG, hybrid search, and vector databases.
Full-stack AI role focused on building AI agents for healthcare patients, covering conversation design, prompts, tool calling, evals, and the APIs that make agents work in production.
Compensation
The typical salary range for this role is $160,000 to $210,000 USD, depending on skills, qualifications, and relevant experience.
Responsibilities
Design, build, and ship AI agents end to end, including conversation flows, prompts, tool and function calling, retrieval, memory, and the backend services agents depend on.
Build evaluation systems (offline test suites, simulated conversations, human review loops, and production monitoring) so we know an agent is good before and after it ships.
Improve instruction following, tool-calling reliability, latency, and cost across our LLM and speech stack.
Help design and build our next-generation voice agent platform, choosing the right models and architecture for each task based on quality, latency, and cost.
Partner with clinical, product, and customer teams to turn workflows like scheduling, refills, billing, and post-discharge check-ins into reliable agent behavior.
Own the systems behind how Cresta shows up on the internet, architect and build the web platform, and develop custom AI agents on Cresta's platform for marketing use cases.
Compensation
Base Salary Range: $160K - $280K + Equity
Responsibilities
Own how cresta.com is built end to end
Set the technical vision for the website stack and CMS
Partner with brand and design on interactive experiences
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