About the role
GenAI Engineer | Augury Solutions Industrial AI Workforce Combines machine and operational data to give manufacturing teams the monitoring, intelligence, and AI agents they need to accelerate response time and keep production running. Learn more Machine Health Prevent machine failures and reduce maintenance costs with AI powered by reliability experts. Machine Health Machine Health Solutions Critical Equipment Hazardous Ultra-Low RPM Supporting Equipment Auguscope Use Cases By Industry By Business Goal By Persona By Asset By Industry Food & Beverage Consumer Packaged Goods Metals & Mining Pulp & Paper Glass Chemicals Pharmaceutical Plastics Steel Forest Products Building Materials & Cement Commercial Services Energy Show more By Business Goal Eliminate Unnecessary Downtime Reduce Loss, Waste, and Emissions Maximize Yield and Capacity Optimize Asset Care Transform the Way You Work Show more By Persona Plant Manager IT Maintenance & Reliability VP Manufacturing & Engineering Digital Transformation Supply Chain Process Engineering & Operations Show more By Asset Rotating Equipment Pumps Motors Compressors Bearings Fans and Blowers Gearboxes Chillers Conveyor Extruders Mills Mixers Seamer Show more Why Augury Customers Our Customers Our Commitment Success Stories Spotlight Awards Show more Partners Resources Resource Center Blog Events & Webinars Podcasts Videos Collateral Value Calculator Show more Company About Careers Media Center Support Community In the News Press Releases Show more Pricing Contact us Search for: Log in Book a Demo All Jobs R&D GenAI Engineer Our mission is to provide manufacturers and other industrial sectors with insights into the health of machines, processes, and operations to transform how people work and what they can create. A leader in Machine Health and Process Health solutions, Augury uses purpose-built AI technology, trained by industry experts and the world’s largest data library, to help companies realize the full potential of their production. Together with our customers, we are pioneering Production Health by removing friction created by competing business goals so companies can improve business outcomes, empower their workforce, and achieve sustainable production- all at the same time. Full-time About The Position As Augury’s GenAI Engineer for AgenticAI, you’ll work at the forefront of combining AgenticAI with Industrial AI to solve meaningful, real-world manufacturing challenges. You will work closely with our central Algorithm, Product, and Engineering teams to design, build, and deploy scalable GenAI and AgenticAI solutions for industrial environments. This role sits at the intersection of AI engineering, time-series analytics, distributed systems, and user-centric product development. You will own the end-to-end lifecycle of GenAI applications, from problem definition and experimentation to production deployment and continuous monitoring, helping bring Augury’s AgenticAI vision to life through intelligent, impactful workflows that drive measurable customer value and ROI. A Day In Your Life Own the end-to-end development lifecycle of GenAI and AgenticAI solutions, from experimentation and prototyping through deployment and monitoring. Build intelligent systems that combine time-series modeling, signal processing, and GenAI technologies including LLMs, embeddings, agents, orchestration frameworks, and retrieval pipelines. Design and implement LLM-powered workflows such as RAG pipelines, tool usage, multi-agent orchestration, and evaluation frameworks at scale. Develop AgenticAI applications that integrate diverse data sources, including sensor-based time-series data, unstructured text, and machine learning outputs. Drive technical decision-making across architecture, tooling, experimentation strategy, and deployment patterns for AgenticAI systems. Partner closely with Product, Engineering, Applied AI, and domain experts to translate customer problems into scalable technical solutions. Contribute to the development of data pipelines, deployment infrastructure, evaluation frameworks, and monitoring systems across MLOps and LLMOps environments. Build and maintain backend services in Python, including REST/gRPC APIs and workflow orchestration services connecting AI agents with platform infrastructure. Monitor deployed systems for performance, drift, reliability, latency, and cost efficiency, continuously improving model quality and operational scalability. Collaborate directly with customers and internal stakeholders to prototype and deliver innovative AI-driven experiences. Help shape Augury’s AgenticAI platform and user experience for industrial operators and reliability teams. What You Bring Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field (B.Tech / B.E. or equivalent). Master’s degree (M.Tech or equivalent) is a plus, but not required. Equivalent practical experience will also be considered for exceptional candidates. 2–4 years of experience spanning Data Science, Machine Learning, AI Engineering, or GenAI development. Hands-on experience building and deploying GenAI or AgenticAI applications in production environments. Strong experience with GenAI frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar ecosystems. Experience implementing LLM-based workflows including prompting, embeddings, RAG, tool calling, orchestration, and evaluation systems. Familiarity with evaluation methodologies such as HITL, LLM-as-a-judge, deterministic evaluation, and fine-tuning workflows. Experience with observability and experimentation tooling such as LangSmith or equivalent platforms. Engineering & Systems Experience Strong proficiency in Python for model development, backend services, deployment, and monitoring. Experience building scalable APIs and microservices using REST and/or gRPC. Understanding of modern software engineering principles, CI/CD workflows, distributed systems, and production system design. Experience optimizing inference performance, latency, and API usage costs across AI systems. Familiarity with cloud-native development patterns and scalable AI infrastructure is a plus. Collaboration & Ways of Working Ability to work in fast-paced Agile environments with a strong bias toward iteration, experimentation, and continuous improvement. Strong communication and collaboration skills with the ability to work cross-functionally across technical and non-technical teams. Product mindset with a focus on customer impact, usability, and business outcomes.