Title: Senior AI Engineer – Developer Products Location: San Francisco, California Job Description: Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: - Business Insider named us an “enterprise startup to bet your career on” - Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world - Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America - Quartz ranked us the #1 best company for remote workers Senior AI Engineer – Developer Products Location: San Francisco, CA (Onsite/Hybrid) About the Role We are seeking an exceptional Senior Software Engineer to join our San Francisco team and build new developer products. In this role, you will design, build, and optimize AI-first experiences that empower developers to experiment, prototype, and integrate with our platform. You will collaborate closely with product, engineering, and developer relations teams to deliver robust, scalable, and intuitive services. This role requires a high technical bar, plus an emphasis on developer ergonomics, so we can deliver a delightful developer experience. Responsibilities - Design, build, and enhance AI services and APIs powering our developer sandbox, leveraging LLMs and custom ML models. - Develop well-architected, testable, and efficient Python code to support rapid prototyping and experimentation. - Implement and improve validation, monitoring, and observability for ML services within the sandbox environment. - Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement. - Collaborate with cross-functional teams to design developer-centric solutions and intuitive user experiences. - Continuously evaluate and optimize existing implementations for performance, scalability, and developer usability. - Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment. - Conduct code reviews and mentor team members to uphold high engineering standards. Requirements Qualifications / Experience / Technical Skills - Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience. - 5+ years of experience as an ML Engineer, Data Scientist, or similar role. - Strong Python programming skills and hands-on experience with NLP and LLM models. - Proven track record of deploying and maintaining ML services in production environments. - Solid understanding of network protocols, API design, and developer tooling. - Experience with relational and non-relational databases. - LLMops/MLops experience is a strong plus, especially in developer-facing products. - Experience building or supporting developer platforms, APIs, or sandbox environments is highly desirable. Soft Skills / Personal Characteristics - Collaborative team player with a passion for empowering developers and improving developer experience. - Adaptable, proactive, and creative—comfortable working in a dynamic, startup-like environment. - Strong problem-solving skills and a continuous improvement mindset. Join us in San Francisco and help shape the future of developer innovation with AI-powered sandbox experiences! The salary range for this role is dependent on experience and ranges from $170,000 to $250,000. We also provide stock options to all employees and generous benefits.

Develop and maintain scalable full-stack applications, optimize backend services with Python, design modern frontend interfaces, and manage cloud infrastructure to deliver robust AI-driven solutions for clients.

• Collaborate with cross-functional teams to design scalable AI architectures • Contribute to innovative projects that leverage generative AI and large language models • Develop and deploy cutting-edge AI solutions • Work with advanced machine learning models and frameworks, focusing on cloud technologies and intelligent AI applications

Role Description HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career. We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career. - Engineer audio systems and integrated technology platforms that augment the driving experience - Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence - Advance in-vehicle infotainment, safety, efficiency, and enjoyment. What You Will Do - AI Agent Development - Build agentic AI systems using frameworks such as LangChain, AutoGen, Semantic Kernel, Haystack, or LlamaIndex. - Develop multi-agent architectures for planning, reasoning, tool use, memory, and feedback loops. - Implement autonomous workflows for analytics, operations, customer support, and productivity automation. - Generative AI Solutions - Develop LLM-powered features such as: - Naturallanguage querying - Summarization & explanation engines - Scenario simulation & calculators - Insight generation and anomaly detection - Conversational interfaces - Fine-tune, supervise, or optimize models for domain-specific tasks. - Retrieval-Augmented Generation (RAG) - Build enterprise-grade RAG pipelines for scalable document, metric, and knowledge retrieval. - Implement embeddings, vector databases, chunking, prompt templating, and ranking strategies. - AI Tool Integration - Enable agents to interact with: - Databases - Power BI / Anaplan / ERP / CRM - REST APIs - Python tools & calculators - Business workflows - Build “function calling” capabilities for real-time actions. - MLOps & AIOps - Deploy AI systems using Azure ML, AWS Sagemaker, Vertex AI, or on-prem platforms. - Implement monitoring, guardrails, safety layers, and model evaluation pipelines. - Set up CI/CD for AI workflows. - Collaboration & Solution Design - Work with product, analytics, and engineering teams to design AI use cases. - Create high-level and low-level architecture diagrams. - Ensure scalability, robustness, security, and governance. Qualifications - Experience: 4-6 Years - Technical Skills - Generative AI & LLMs - Strong understanding of GPT, Llama, Mistral, Claude, Gemini - Prompt engineering, prompt chaining, instruction tuning - Experience with open-source and proprietary LLMs - Knowledge of transformers, attention mechanisms, and embeddings - Agentic AI - Hands-on experience with: - LangChain Agents - AutoGen / Autogen Studio - Semantic Kernel Functions & Planners - Multi-Agent Orchestration - Tool-use, planning, reflection, memory systems - RAG Engineering - Vector databases (FAISS, Pinecone, Milvus, Azure AI Search) - Chunking strategies, hybrid search, rerankers - Advanced prompt routing & retrieval chains - Programming - Python (must have) - Knowledge of TypeScript/JavaScript is a plus - Familiarity with API development (FastAPI, Flask) - Cloud & Deployment - Azure AI Studio / AWS Bedrock / GCP Vertex AI - Docker, Kubernetes - DevOps & MLOps practices - Model deployment pipelines - Data & Analytics - SQL, data modeling - Working knowledge of APIs from systems like Power BI, Dataverse, Anaplan, SAP - Basic ML knowledge (supervised, unsupervised, deep learning basics) Benefits - Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location - Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.) - Extensive training opportunities through our own HARMAN University - Competitive wellness benefits - Tuition reimbursement - “Be Brilliant” employee recognition and rewards program - An inclusive and diverse work environment that fosters and encourages professional and personal development