AI/ML Engineer II
3-8 Years Experience
JOB SUMMARY
We are seeking a highly capable AI/ML Engineer II to serve as a strong individual contributor within our Artificial Intelligence and Automation team. The ideal candidate has a track record of delivering complex, production-grade Machine Learning and Generative AI systems and can own significant modules end to end with minimal supervision. You will lead the technical design of AI features across LLMs, Agentic AI, Retrieval-Augmented Generation (RAG), MLOps, and Intelligent Automation, and set a high bar for engineering quality.
You will act as a go-to technical resource on your projects, mentor less-experienced engineers, and collaborate with architects and stakeholders to deliver scalable, reliable AI solutions.
KEY RESPONSIBILITIES
- Lead the technical design and delivery of complex ML and Generative AI components, owning them from requirements through production.
- Develop, fine-tune, and optimize models and LLM pipelines with strong attention to accuracy, latency, cost, and reliability.
- Architect and improve advanced RAG systems, including hybrid retrieval, re-ranking, chunking strategy, and evaluation.
- Design and build production Agentic AI and multi-agent workflows with robust tool use, orchestration, and error handling.
- Drive engineering quality: establish patterns, conduct thorough code and design reviews, and reduce technical debt.
- Build and harden MLOps/LLMOps pipelines — CI/CD, automated evaluation, monitoring, drift detection, and retraining.
- Design integrations with enterprise applications, APIs, data platforms, and vector stores at scale.
- Define and apply prompt-engineering standards, evaluation frameworks, and guardrails for safe, high-quality LLM systems.
- Partner with product and business stakeholders to shape solution scope, estimate effort, and manage delivery risk.
- Mentor junior and mid-level engineers, and contribute to reusable frameworks, libraries, and accelerators.
- Evaluate emerging models, tools, and techniques and pilot them for practical enterprise use.
- Produce high-quality technical documentation, design specifications, and deployment artifacts.
REQUIRED QUALIFICATIONS
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 3-7 years of hands-on experience in AI, Machine Learning, or related software engineering roles, including delivering systems to production.
- Advanced Python engineering skills and strong software-design fundamentals.
- Deep, practical experience building and optimizing Generative AI and LLM-based applications.
- Strong experience with agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen) and production RAG architectures.
- Solid MLOps experience: CI/CD, model deployment, monitoring, and evaluation.
- Proven experience with at least one major cloud platform (Azure, AWS, or Google Cloud), Docker, and containerized deployments.
- Demonstrated ability to own complex modules independently and lead technical decisions on a project.
- Experience mentoring engineers and driving engineering best practices.
- Excellent communication and cross-functional collaboration skills.
PREFERRED SKILLS
- Strong proficiency across PyTorch, TensorFlow, Hugging Face, and the broader Python data/ML ecosystem.
- Production experience with multiple LLM providers (OpenAI, Anthropic Claude, Azure OpenAI, Gemini) and open-weight models.
- Experience with fine-tuning, LoRA/PEFT, and model optimization or serving (vLLM, TGI, Triton).
- Advanced experience with vector databases and large-scale retrieval.
- Experience with orchestration and workflow tooling such as Kubernetes, Airflow, or Ray.
- Experience building LLM evaluation, observability, and guardrail frameworks.
- Familiarity with responsible-AI, security, and governance practices.
- Open-source contributions, publications, or a strong portfolio of applied AI work.
WHAT YOU'LL GAIN
- Technical ownership of complex, high-visibility AI and Automation systems.
- A path toward senior and principal technical-leadership roles.
- Deep involvement in Agentic AI, LLM, and next-generation AI platform work.
- Influence over engineering standards, patterns, and reusable accelerators.
- The opportunity to mentor engineers and shape team technical capability.
Skills Required
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
- 3-7 years of hands-on experience in AI, Machine Learning, or related software engineering roles
- Experience delivering AI or machine learning systems to production
- Advanced Python engineering skills
- Strong software design fundamentals
- Practical experience building and optimizing generative AI and LLM-based applications
- Experience with agentic AI frameworks including LangChain, LangGraph, CrewAI, or AutoGen
- Production experience with retrieval-augmented generation architectures
- MLOps experience including CI/CD, model deployment, monitoring, and evaluation
- Experience with at least one major cloud platform: Azure, AWS, or Google Cloud
- Experience with Docker and containerized deployments
- Ability to independently own complex modules and lead technical decisions
- Experience mentoring engineers and driving engineering best practices
- Excellent communication and cross-functional collaboration skills
- Proficiency with PyTorch, TensorFlow, Hugging Face, and the Python data and machine learning ecosystem
- Production experience with multiple LLM providers and open-weight models
- Experience with fine-tuning, LoRA/PEFT, and model optimization or serving
- Advanced experience with vector databases and large-scale retrieval
- Experience with Kubernetes, Airflow, or Ray
- Experience building LLM evaluation, observability, and guardrail frameworks
- Familiarity with responsible AI, security, and governance practices
- Open-source contributions, publications, or a strong portfolio of applied AI work
Fortive Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fortive and has not been reviewed or approved by Fortive.
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Parental & Family Support — Parental leave is fully paid for 12 weeks for all parents, with fertility coverage via Progyny and generous adoption/surrogacy support. Backup child and adult care plus inclusive eligibility extend support across diverse family structures.
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Healthcare Strength — Multiple PPO and HSA medical options include telemedicine and second-opinion services, alongside robust mental-health access through Spring Health with no‑cost therapy sessions. The breadth of medical and behavioral health resources is highlighted as a strength.
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Retirement Support — The 401(k) provides a competitive employer match each pay period, with an additional company retirement contribution after one year of service. Financial wellness tools and an employee stock purchase plan further bolster long‑term savings.
Fortive Insights
What We Do
Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product design, and healthcare safety solutions. We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in software-powered workflow solutions, data-driven intelligence, AI-powered automation, and other disruptive technologies. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to groundbreaking sustainability solutions. We are a diverse team 18,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact. At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference. At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone. At Fortive, we believe in growth. We’re honest about what’s working and what isn’t, and we never stop improving and innovating. Fortive: For you, for us, for growth.
