Agentic Artificial Intelligence Engineer
Role details
Job location
Tech stack
Job description
- Architect and code sophisticated AI modules, including high-performance embedding pipelines, custom chunkers, and advanced retrieval evaluators.
- Lead the integration of intelligent agent services with diverse internal and external APIs and vector databases to solve complex, cross-service challenges.
- Stay at the bleeding edge of AI research, implementing the latest advancements in fine-tuning, RLHF, and prompt engineering frameworks like DSPy.
- Drive agile excellence by spearheading sprint deliveries and collaborating with cross-functional leaders to define the scope of transformative AI features.
- Champion code quality and team growth by performing high-level peer reviews and contributing to shared utility libraries that boost development velocity.
- Architect and implement modular, cloud-native microservices that integrate GenAI into our production ecosystem, ensuring our Agentic solutions are as scalable and reliable as they are intelligent.
- Take ownership of the production lifecycle by building robust CI/CD pipelines and using observability frameworks (like Datadog or Databricks) to monitor model health, trace agent logic, and ensure system uptime.
- Drive technical excellence by developing comprehensive evaluation suites-incorporating both traditional testing and modern LLM-based evals-to benchmark accuracy, safety, and performance before every release., * A history of contributing to open-source projects or presenting technical papers at national forums.
- GenAI Passion: You have a portfolio of personal projects, a technical blog, or a GitHub repository demonstrating your hands-on experimentation with the latest LLM frameworks.
- Community Contribution: You've contributed to open-source AI libraries (like LangChain, LlamaIndex, or AutoGPT) or have a history of sharing insights at technical meetups.
Why You'll Love Working With Us
At Trimble, we're not just a company that "does good"-we are a team dedicated to making a tangible, positive Real-World Impact. We build innovative solutions designed to solve the world's most critical challenges. From construction sites to transportation hubs, our work tangibly improves how people live, build, move, and grow.
You'll work on projects that truly matter: Our purpose-driven culture means you'll be helping to build and deliver solutions that make work faster, safer, and more sustainable for millions of people worldwide. Our impact is tangible, from connected machines that save fuel to data-driven insights that reduce waste.
Collaborate with like-minded people: Our strong internal culture is a "hidden gem." You will work with a collaborative, supportive team that shares your purpose and fosters a genuine sense of belonging. We're a company of "visionary pragmatists" who think boldly and build things that work.
Requirements
- You bring 6+ years of robust engineering experience
- You are a Python expert with a deep understanding of developing and scaling high-quality code.
- You have at least 6 months of hands-on experience building and deploying GenAI applications.
- You possess a strong background in RAG frameworks, including vector databases, hybrid search, and ANN algorithms.
- You hold a B.Tech, M.E, M.Tech, or M.S. in Computer Science Engineering from a premier institute.