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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Jeeves Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $120,000.0 - $215,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Computer Vision, Audit Trail, Big Data, Cloud Computing, Code Review, Cyber Security, Relational Databases, Monitoring of Systems, Python (Programming Language), PostgreSQL, Machine Learning, Quantum Computing, OpenAI, Blockchain, Software Engineering, AI Infrastructure, Data Logging, Graphics Processing Unit (GPU), Large Language Models, Backend, Agentic-AI, Kubernetes, Real-time Inference, Information Technology, Machine Learning Operations, Jeeves ERP, Virtual Agents, Restful APIs, Data Pipelines, Automation Anywhere - **Published:** October 13, 2026 - **Apply:** https://www.builtincolorado.com/job/senior-ai-engineer/11619696?handler=ApplyRedirect ## About the Role * 7+ years of professional software engineering experience, including at least 2 years building and operating LLM or AI-powered systems in production * A track record of owning a large system or workflow end to end, from scoping and design through launch and iteration, with limited direction * Hands-on experience shipping LLM-powered applications with APIs such as Anthropic, OpenAI, or similar, including structured outputs, error handling, and evaluation * Experience designing agentic or multi-step AI workflows (tool use, orchestration, human review steps) * Strong proficiency in Python, plus solid backend fundamentals: REST APIs, PostgreSQL or similar relational databases, async patterns, and a major cloud provider (AWS, GCP, or Azure) * Experience with observability for AI systems: logging, tracing, dashboards, and quality monitoring * Professional fluency in English, written and spoken ## Description * Design agentic and LLM-based systems that combine extraction, retrieval, reasoning, and tool use to complete multi-step work, with clear human-in-the-loop points * Write the design docs, make the build-vs-buy and model choices, and set the success metrics for each workflow you own Build Reliable AI in Production * Build production-grade LLM pipelines: prompt and context design, structured outputs, validation, fallbacks, and confidence scoring * Integrate AI services cleanly with Jeeves's backend: clear API contracts, retries, graceful degradation, and per-customer data isolation * Manage cost and latency across models, choosing the right model for each step Measure, Monitor, and Improve * Build evaluation sets and automated evals for every workflow you own, and use them to catch regressions when prompts, models, or data change * Instrument AI components with logging, tracing, dashboards, and alerts so you know when quality drops before a customer does * Keep an audit trail of AI decisions that meets the standards of a regulated financial product Raise the Bar for AI Engineering at Jeeves * Set patterns, shared tooling, and practices that other engineers can build on * Show the wider team how to use coding agents and AI tools well in day-to-day engineering * Review peers' AI system designs and share what you learn openly, Artificial Intelligence * Big Data * Healthtech * Information Technology * Machine Learning * Software * Analytics Designs and deploys enterprise AI/ML solutions, scalable models, data pipelines, and MLOps architectures in cloud production environments. Responsibilities include model monitoring and optimization, responsible AI implementation, workflow automation, emerging technology evaluation, cross-functional architecture collaboration, code reviews, and mentoring. The role focuses on healthcare challenges and supports production-grade machine learning systems, including real-time inference and continuous integration and deployment. Top Skills: AirflowAWSAzureCi/CdDockerFhirGCPGenerative AiHl7KafkaKubeflowKubernetesLarge Language ModelsMlflowMlopsPythonPyTorchRetrieval-Augmented GenerationScikit-LearnSparkSQLTensorFlow CrowdStrike Sr. AI Agent Developer (Remote) 4 Days Ago Remote or Hybrid USA 160K-250K Annually Senior level 160K-250K Annually Senior level Cloud * Computer Vision * Information Technology * Sales * Security * Cybersecurity Design, build, deploy, and scale production AI agents and platforms for legal workflows. Develop and evaluate agent solutions, optimize performance and cost, redesign business processes, and promote responsible AI adoption. Collaborate with Legal, Enterprise AI, Data, Security, Privacy, and Engineering teams to deliver secure, reliable, scalable solutions. Contribute frameworks, training, governance guidance, and innovative applications using modern LLM and AI techniques. Top Skills: Advanced RetrievalAgent FrameworksAi AgentsAi GatewaysAi/MlAWSFine-TuningGCPKnowledge GraphsLarge Language ModelsModel Context ProtocolModel CustomizationMulti-Agent SystemsMultimodal Document ProcessingPythonSecure Tool IntegrationsSynthetic Data Mastercard