Role Description We are looking for a passionate and skilled AI engineer to lead the AI engineering practice at a team or program level. In this role, you will guide the design and delivery of generative AI solutions, shape the technical roadmap for your team(s), and ensure high standards of engineering excellence. You will provide technical leadership to a small group of engineers, collaborate with product and business partners, and act as a trusted technical consultant for stakeholders. - Lead a cross-functional team of software engineers, data scientists and other specialists delivering GenAI solutions. - Guide the design and delivery of AI-powered systems that are scalable, reliable and production-ready. - Set direction for technical decisions, ensuring AI solutions are optimized for performance, cost and maintainability. - Collaborate closely with product managers, designers and stakeholders to align technical solutions with business goals. - Establish and promote best practices in AI engineering, covering testing, guardrails, responsible AI, monitoring and documentation. - Provide architectural guidance, balancing experimentation with delivery in short, safe cycles. - Review designs and code across the team, ensuring quality and consistency in AI-enabled features. - Set direction for GenAI application optimization to improve accuracy, performance, cost and know when model tuning is required. Qualifications - Strong expertise in Python and modern software engineering practices, including CI/CD, testing, version control and system reliability. - Proven ability to design and integrate end-to-end AI systems, ensuring scalability, maintainability and performance. - Deep experience with GenAI and agentic frameworks, guiding teams in their effective use. - Expertise in building and scaling RAG pipelines and integrating vector databases into production systems. - Experience deploying AI solutions on major cloud platforms, using containers and CI/CD pipelines for reproducibility. - Skilled in LLMOps practices and monitoring production systems with observability tools. - Experience with fine-tuning, model adaptation and advanced use of ML/NLP frameworks. Requirements - Ability to articulate complex technical concepts to non-technical audiences and influence senior decision-makers. - Proven ability to inspire, mentor and develop high-performing engineering teams, fostering a collaborative and inclusive environment. - Demonstrates the ability to anticipate technological trends and proactively shape the technical direction of the team. - Skilled in navigating complex internal and external dynamics, driving consensus and achieving technical and business goals. Benefits - There is no one-size-fits-all career path at Thoughtworks; however you want to develop your career is entirely up to you. - Your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. - We see value in helping each other be our best and that extends to empowering our employees in their career journeys. Company Description Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

Title: AI Engineer - AI/ML Location: United States/ Minneapolis or Washington, D.C. Work Type: Remote, Hybrid Full Time Job ID: 2349923 Job Description: Description - External Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best.Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale.Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and motivated AI/ML Engineer to lead innovation in claims adjudication through advanced Generative AI solutions. This role emphasizes Large Language Models (LLMs), agentic frameworks, and prompt engineering to automate complex workflows. You will design and deploy secure, scalable, and responsible AI systems while collaborating across teams to deliver measurable impact. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Design, develop, and deploy AI/ML and Generative AI models for predictive, prescriptive, and generative analytics across healthcare datasets - Implement advanced architectures including LLMs (GPT, Gemini, LLaMA), Retrieval-Augmented Generation (RAG), and Agentic Frameworks - Build and optimize end-to-end pipelines using Python (Sci-kit Learn, Pandas, Flask, LangChain), PySpark, T-SQL and SQL - Develop and fine-tune multiple GenAI models for NLP, summarization, prompt engineering, and conversational AI - Apply MLOps best practices: model versioning, drift analysis, quantization, MLFlow, containerization with Docker, and CI/CD pipelines - Work with cloud platforms: Azure (Databricks, ML Studio, Data Factory, Data Lake, Delta Tables), AWS, and GCP for scalable deployments - Integrate data warehousing solutions like Snowflake and manage large-scale data pipelines. - Collaborate in an Agile environment, participate in sprint planning, and maintain code repositories using GitHub/Git - Ensure compliance with security and governance standards for healthcare data - Coach and mentor junior team members. - Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI Technical Skillset AI/ML Foundations - Design and implement machine learning and deep learning models for classification, NLP tasks - Build and maintain end-to-end ML pipelines including data preprocessing, model training, evaluation, and deployment Generative AI & LLM Engineering - Develop and fine-tune LLM-based applications using LangChain, LangGraph, and other GenAI frameworks - Build Multi Agentic workflows and RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases - Leverage AWS Bedrock and Google Vertex AI for scalable and production-grade GenAI deployments LLM Security & Responsible AI - Implement guardrails to prevent prompt injection, reduce hallucinations, and ensure safe model outputs - Apply best practices for LLM security, including output moderation, access control, and auditability - Ensure compliance with Responsible AI principles-fairness, transparency, and explainability Cloud-Native AI Development - Deploy and manage GenAI solutions on AWS and Google Suite, utilizing services like Bedrock, SageMaker, Vertex AI - Integrate LLMs with enterprise systems using REST APIs, SDKs, and orchestration tools Collaboration & Mentorship - Work closely with product managers, data scientists, and platform teams to translate business needs into GenAI solutions - Mentor junior engineers and contribute to internal knowledge-sharing initiatives You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Bachelor's degree in CS or IT related field - 5+ years of hands-on experience in AI/ML techniques like Prompt Engineering , RAG (Retrieval Augmented Generation) and Agentic AI - 5+ years of experience and strong expertise in Python, PySpark, T-SQL, SQL, and big data technologies (Hadoop, Spark) - 2+ years of experience in statistics, data modeling, and simulation - 1+ years of experience with Generative AI frameworks/architectures (LangChain, HuggingFace, OpenAI APIs) - 1+ years of experience with any one of the cloud technologies: Azure (Databricks, ML Studio), AWS Bedrock, Azure Foundry, Kafka, GCP, and cloud-native AI services - 1+ years of experience with CI/CD pipelines, GitHub Actions, and containerization tools - 1+ years of experience with LLM security, prompt engineering, and responsible AI practices Preferred Qualifications: - Experience with LLMs (GPT, Gemini, LLaMA) and prompt-based learning - Knowledge of Kafka, TensorFlow, and advanced deep learning architectures (CNNs, Autoencoders) - Strong understanding of Agile methodologies and DevOps practices - Internal Data management and Big data handling experience - Excellent problem-solving skills and ability to handle ambiguity - All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Benefits Our mission of helping people live healthier lives extends to our team members. Learn more about our range of benefits designed to help you live well. Life Resources and support to focus on what matters most to you, in every facet of your life. Emotional Education, tools and resources to help you reduce and manage stress, build resilience and more. Physical Health plans and other coverage to support wellness for you and your loved ones. Financial Benefits for today and to help you plan for the future, including your retirement.

Title: Senior AI Developer Location: San Francisco United States, Silicon Valley Menlo Park, CA 94025, USA San Francisco San Francisco, CA 94111, USA Walnut Creek Walnut Creek, CA 94596, USA Job Category: Information Technology Requisition Number: SENIO001755 - Full-Time - Remote Job Description: Kilpatrick Townsend & Stockton LLP is a premier Am Law 100 multinational law firm with 22 offices worldwide, known for its intellectual property, corporate litigation, and technology practices. The firm's AI Innovation team builds and ships production AI systems that serve hundreds of users across the firm and is expanding to a client-facing portal. We work with the latest platforms from Anthropic and Microsoft, run agentic workflows in production, and maintain a growing network of Model Context Protocol (MCP) integrations that connect AI agents to enterprise systems. This is a small team with startup-like autonomy inside a global enterprise. At Kilpatrick we are one team where each person plays an integral role in serving the needs of our clients. The firm has a strong dedication to its employees, values, and commitment to the community. We are looking for a Senior AI Developer, fully remote, to help shape the future of AI at the firm. This is an individual contributor role with significant technical ownership. You will design and deploy agentic AI systems, scale our internal platforms, extend our MCP infrastructure, and help define the technical roadmap for AI adoption. Our AI systems are in production today, serving the firm at scale. We are looking for someone who is ready to contribute immediately to an active, fast-moving development environment. Your first 6 to 12 months will focus on: - Scaling document intelligence and RAG pipelines to handle millions of enterprise documents with high retrieval accuracy - Expanding agentic workflows and AI skills that automate complex, multi-step legal and operational tasks - Strengthening the MCP integration layer with new tool connections, improved security, and increased reliability What You Will Do - Help define the technical roadmap for AI adoption, contributing to build-vs-buy decisions, vendor evaluations, and architectural direction - Architect multi-agent systems and agentic workflows using tool use, function calling, planner-executor pipelines, agent swarms, and autonomous task decomposition - Build and maintain AI skills: self-contained automation workflows that run in their own execution context with quality assurance verification - Design context management strategies including RAG, semantic search, vector embedding pipelines, conversation compaction, long-term memory management, and grounding - Extend our MCP server network with new tool integrations, dynamic server discovery, gateway architectures, OAuth 2.1 auth flows, audit logging, and sandboxed execution - Build real-time streaming interfaces that surface AI-generated insights, citations, and structured outputs - Engineer solutions for large-scale data challenges across millions of documents, patent databases, and enterprise systems - Implement guardrails, evaluation pipelines, and data governance standards appropriate for a regulated legal environment - Evaluate and integrate new models, APIs, and capabilities as they ship from Anthropic, Microsoft, and other providers - Act as an internal AI consultant: gather requirements from attorneys and legal staff, translate business needs into technical solutions, and deliver AI-powered workflow systems that streamline legal and operational processes Our Stack Anthropic (Claude, Agent SDK, MCP) | Azure OpenAI | Azure AI Foundry | Semantic Kernel | Azure AI Search | Azure Document Intelligence | C# / .NET | React / TypeScript | Node.js | SQL Server | SignalR | SSE Streaming Required Qualifications - Bachelor's degree in Computer Science, Engineering, Data Science, or a related field preferred - Proven experience in AI architecture, agent-based systems, or intelligent automation, with a minimum of 5 years in a similar role. - Demonstrated experience building agentic AI systems with tool use, function calling, and multi-step workflow execution in production - Strong working knowledge of the Anthropic platform (Claude models, Messages API, streaming, extended thinking, Claude Agent SDK) - Experience with Microsoft AI services (Azure OpenAI, Azure AI Foundry, Semantic Kernel, or related offerings) - Experience with MCP or similar AI-to-tool integration frameworks (LangChain, LlamaIndex, CrewAI, custom pipelines, or equivalent) - Experience building RAG pipelines, semantic search, and document intelligence workflows at scale - Proficiency with real-time streaming architectures (SSE, WebSockets, Streamable HTTP) and enterprise auth (OAuth 2.0/2.1, Azure AD/Entra ID) - Ability to work across the stack: backend APIs, streaming infrastructure, frontend interfaces - Proficiency with AI-native development platforms (Claude Code, GitHub Copilot, Cursor, or similar) over expertise in any single language - Track record of independently solving complex, ambiguous problems and shipping working solutions - Experience with the professional services industry is a plus. Preferred Qualifications - Understanding of ML fundamentals: fine-tuning (LoRA, QLoRA, PEFT), evaluation metrics, NLP tasks, and MLOps/LLMOps practices - Familiarity with ML frameworks (PyTorch, Hugging Face Transformers, scikit-learn) - Experience with large-scale data processing: millions of documents, vector embedding pipelines, enterprise databases - Knowledge of large law firm operations, IP workflows, or enterprise document management systems (iManage, NetDocuments) What Success Looks Like In your first year, you will have: - Expanded the reach of our AI platforms across users, use cases, and connected enterprise systems - Shipped production agentic workflows that complete complex tasks with minimal human intervention - Improved retrieval accuracy and reduced hallucination rates in RAG pipelines over large document corpora - Built new MCP integrations that connect AI agents to previously inaccessible enterprise data - Contributed evaluation pipelines, monitoring, and guardrails that increase confidence in shipping faster Why KT - Production AI at scale. Our AI platforms are in daily use across the firm, with a clear roadmap for continued expansion. - Modern technology stack. Work with the latest platforms from Anthropic and Microsoft, including production MCP integrations and agentic workflows. - Autonomy and ownership. Significant influence over technical decisions, architecture, and the direction of AI at the firm. - Global reach. Serve attorneys and professionals across 22 offices worldwide and a client-facing AI portal. - Competitive compensation and comprehensive benefits commensurate with the market for senior AI talent. This is a full-time, regular position with a multi-faceted health benefit package including medical, dental, and vision. The firm also offers life insurance, short term disability plans and retirement plans in addition to holidays and paid time off. The firm offers hybrid work schedules combining in office work days as well as remote work days. The pay range for this position in California only is $180,000 to $250,000 annually. Selected applicants will be contacted. Kilpatrick is an Equal Opportunity Employer. For more information about our firm, please visit our website at www.ktslaw.com. Kilpatrick Townsend & Stockton LLP is committed to equal employment opportunity for all persons, regardless of race, color, religion, sex or gender, national origin, age, veteran status, disability, sexual orientation, gender identity, or any other basis prohibited by applicable law.

Title: Software Engineer III/Senior, AI Gateway Location: San Francisco United States Job Description: ngrok is an all-in-one cloud networking platform that secures, transforms, and routes traffic to services running anywhere. Instead of cobbling together nginx, NLBs, VPNs, model routers, and oodles of other tools, developers solve every networking problem with one gateway. Doesn't matter if they're sharing localhost or running AI workloads in production. We're trusted by more than 9 million developers at companies like GitHub, Okta, HashiCorp, and Twilio. What started as a way to put your local app on a public URL has grown into a universal gateway for API delivery, AI inference, device fleets, and site-to-site connectivity. It's the same ngrok that millions of developers have loved and leaned on every day for years, now with the power to run production traffic at scale. A few things you should know: - We are obsessed with our pets, Viper sunglasses and Bufo (yes, the toad) - We have a designated Chief Emoji Officer - they are vital to our success! - We like software that's serious and culture that's not About the AI Gateway Team Our AI Gateway team builds the systems that define how AI traffic is identified, controlled, and understood as it passes through ngrok. We own the AI-specific control plane at the gateway layer: policies, usage tracking, and enforcement that sit directly on live customer traffic. Our systems must behave correctly under real-world conditions-traffic spikes, unexpected model behavior, misconfigured policies, and customers asking, "Why was this blocked?" or "Where did my tokens go?" What You'll Actually Do - Build and evolve the AI Gateway: You'll work on the AI-aware gateway components that classify and handle AI traffic in real time. This code runs directly in the request path and must be fast, safe, and predictable. - Own AI traffic policy enforcement: You'll design and implement AI Gateway Traffic Policy Objects-rate limits, usage caps, and access rules specific to AI workloads. These policies exist to prevent runaway costs, misuse, and accidental exposure without breaking legitimate traffic. - Track AI usage and token consumption: You'll build and maintain systems that accurately measure AI usage-requests, tokens, and related metadata-so customers can understand how their AI systems behave and what they're consuming. - Make AI behavior observable and explainable: You'll expose clear, trustworthy signals around AI traffic: what was allowed or blocked, which policies applied, and how usage accumulated. When customers ask "what happened?", the gateway should already know. - Design abstractions that hide complexity: You'll work with product and design to build AI-specific gateway primitives that feel intentional and safe, without leaking provider quirks or infrastructure details into customer workflows. - Ship systems customers trust in production: You'll collaborate closely with Gateway, Customer Data, and Platform teams to ensure AI usage data, policy enforcement, and billing signals line up-so customers can turn these features on with confidence. You Might Be a Great Fit If… - You're comfortable in a statically typed, compiled language such as Go, Rust, C++, or Java (with bonus points for Go) - You've worked with AI/LLMs and can appreciate their unique brand of edge-cases - You care about developer experience and thoughtful abstractions - You enjoy defining system behavior, not just plumbing - You've thought about retries, limits, and costs before being asked - You like systems that move complexity from the user to the system Extra credit if you've worked on: - AI platforms or inference infrastructure - API gateways with product-level opinions - Usage limits, quotas, or billing-adjacent systems - Customer-facing observability tools Tech Stack ngrok runs entirely on AWS. Engineers develop by using remote development tools and/or ssh to connect to remote EC2 environments that run a full Kubernetes cluster of the ngrok stack, closely mirroring production. The codebase is primarily Go and TypeScript. We use Postgres for persistence, Kafka for streaming, Protobuf for service boundaries, and Kubernetes, Terraform, Helm, and Buildkite to operate and ship reliably. React is used for user interfaces, and GitHub supports our development workflows and remembers everything. Location This is a remote position for candidates outside of the Bay Area and a hybrid role for candidates within commuting distance to San Francisco. Our Bay Area employees commute to the office on Tuesdays and Wednesdays. Sponsorship All candidates must be US-based, and legally authorized to work in the United States. At this time, ngrok is unable to provide visa sponsorship for this position. Applicants must be authorized to work in the United States on a permanent, ongoing basis without the need for current or future sponsorship. Compensation Senior Software Engineer - Tier 1 (SF, LA, Seattle, NYC): $202,500 - $247,500 - Tier 2 (rest of US): $186,300 - $227,700 Software Engineer III - Tier 1 (SF, LA, Seattle, NYC): $180,000 - $220,000 - Tier 2 (rest of US): $165,600 - $202,400 Job level and actual compensation will be evaluated based on factors including, but not limited to, qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), internal equity with other team members, market data, and specific work location. We provide an attractive mix of salary and equity. #LI-Hybrid Full Time Employee Benefits - Health stuff that actually matters. Full premiums covered on base healthcare, dental, and vision for you. Half covered for your dependents. Mental health and well-being support included, because taking care of your brain is as important as taking care of your teeth. - Retirement matching that doesn't suck. 401(k) with 100% match up to 3% of your salary and 50% match up to another 2%. Future you will appreciate present you. - Actually flexible time off. We say "open, flexible vacation policy" and actually mean it. Take the time you need. Your manager will bug you if you're not taking enough. - Parental leave that's realistic. Up to 16 weeks if you give birth, up to 8 weeks for new parents (birth, adoption, fostering-however your family grows). - Money to keep growing. Annual professional development budget for books, courses, conferences, or whatever helps you level up. Plus an annual home office/desk stipend to make your workspace not terrible. - Work from wherever. Co-working space stipend if you want to get out of your house but aren't near our SF office. - Lunch on us. 2x+ per week for employees onsite at our San Francisco office. Free food tastes better. - Company offsites. Twice a year we get the whole team together. It's part strategy, part bonding, part excuse to hang out with Bufo (the toad). - Regular feedback and fair compensation. Bi-annual reviews to make sure you're getting real feedback and staying competitively compensated. No surprises, no waiting around for performance conversations.