- R&D
Senior 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.
About The Position
As a Senior GenAI Engineer, 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 machine learning, large language models, time-series analytics, and distributed systems.
You will own the full lifecycle of GenAI applications, from experimentation and prototyping through production deployment, observability, and optimization, helping transform Augury’s AgenticAI vision into intuitive, high-impact workflows that deliver measurable customer value and ROI.
This is an opportunity to solve complex, real-world AI challenges using massive multi-modal industrial datasets while deploying production-grade AI systems used by global manufacturers.
A Day In Your Life
- Own the end-to-end lifecycle of GenAI and AgenticAI solutions, from problem definition and experimentation through deployment and monitoring.
- Design and implement scalable AI systems leveraging:
- Time-series modeling
- Signal processing
- LLMs and embeddings
- Agent orchestration frameworks
- Classical ML and deep learning approaches
- Build and optimize production-grade LLM pipelines, including RAG systems, embedding pipelines, multi-agent workflows, tool orchestration, and evaluation frameworks.
- Architect AgenticAI applications utilizing diverse inputs such as sensor-based industrial time-series data, unstructured text, and existing ML systems.
- Develop backend services and APIs in Python to support AI agents, orchestration workflows, and integrations with streaming/data infrastructure (e.g., Kafka, NSQ).
- Partner closely with Product, Engineering, Data Science, and customer stakeholders to identify opportunities and deliver impactful AI-powered solutions.
- Contribute to scalable MLOps and LLMOps frameworks for deployment, observability, evaluation, and monitoring.
- Monitor and improve production systems for performance, hallucinations, model drift, reliability, and cost optimization.
- Translate research and experimentation into scalable, maintainable, production-ready systems.
- Drive engineering excellence through architecture discussions, code reviews, and technical leadership.
What You Bring
- 4+ years of experience spanning Data Science, Machine Learning, and/or Generative AI.
- Hands-on experience building and deploying GenAI or AgenticAI applications in production environments.
- Strong experience with:
- LLMs and prompting techniques
- Embeddings and vector databases
- RAG architectures
- Agent orchestration frameworks
- Evaluation methodologies (HITL, LLM-as-a-Judge, deterministic evals)
- Experience with modern AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, CrewAI, AutoGen, and LangSmith.
- Strong Python development skills across model development, backend services, deployment, and monitoring.
- Experience building scalable APIs, distributed systems, and microservices.
- Familiarity with streaming and data infrastructure platforms.
- Experience working in Agile environments with a bias toward rapid iteration, experimentation, and continuous improvement.
- Proven ability to collaborate across globally distributed Product, Infrastructure, Data Engineering, and R&D teams.
- Ability to balance research innovation with pragmatic engineering execution.
- Experience optimizing LLM/API usage and infrastructure costs.
Augury is a people-first organization. We believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and we welcome those from all backgrounds and varying experiences. We are committed to providing employees with a work environment free of discrimination and harassment. We believe that diversity is more than just good intentions, and we are committed to creating an inclusive environment for all employees.
Augury is a proud equal opportunity employer, we strive to create a work environment in which everyone, all applicants, employees, customers, guests, and vendors feel safe and comfortable. We commit to maintain a workplace that is free of any type of harassment and does not tolerate anyone intimidating, humiliating, or hurting others. We prohibit willful discrimination based on age, gender, ethnicity, race, color, religion, political opinions, sexual orientation, sexual identity or expression, military or veteran status, disability or any other characteristic protected by law.
