We are seeking Snr AI/ML Engineers who are passionate about building core AI models and agentic workflows from the ground up. This is a hands-on engineering role where you will design, develop, and deploy AI/ML solutions daily—working closely with stakeholders and other engineers to drive innovation and deliver production-ready systems.
Requirements
- Agentic AI workflows and NLP
- Generative AI (LLMs, LangChain, RAG frameworks)
- Classical ML (supervised/unsupervised)
- Deep understanding of machine learning algorithms, model architecture, and AI frameworks to design and implement production-grade solutions.
- Expert-level Python programming for AI/ML development and workflow automation
- Experience integrating AI/ML solutions into enterprise applications (batch and real-time).
- Strong experience with cloud-based AI/ML environments (Google Cloud Platform preferred; AWS experience acceptable).
- Experience with Big Data Ecosystems (PySpark, BigQuery)
- Familiarity with MCP (Model Context Protocol)
Responsibilities
- Build and deploy AI/ML models including classical ML, Generative AI (LLMs), and agentic AI workflows.
- Design intelligent, autonomous workflows for onboarding processes, approvals, and document intelligence.
- Own end-to-end development of AI solutions—coding, testing, and deploying models in production environments.
- Work closely with product managers, engineers, and business stakeholders to translate requirements into technical solutions.
- Experiment with emerging AI technologies and frameworks; develop proof-of-concepts for new use cases.
- Embed AI/ML capabilities into enterprise applications for both batch and real-time processing.
Other
- Strong Problem Solver: Ability to take ownership, work independently, and drive projects forward.
- Collaborative Mindset: Comfortable interacting with product and tech stakeholders daily.
- Hybrid – 3 days/week onsite in Phoenix Office
- Contract-to-Hire
- W2 Only
