Design, develop, and deploy machine learning and AI models for business use cases.
Design and fine-tune underlying models (reasoning chains, tool use, agent architectures, etc.).
Define agent capabilities and manage stakeholder expectations around reliability.
Develop and orchestrate multi-step AI agents for reasoning and workflow execution.
Build agentic workflows leveraging foundation models.
Test AI agents against enterprise systems and design benchmarks for evaluation.
Collaborate with data scientists, BI teams, and stakeholders for AI-driven solutions.

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
5+ years of experience in AI/ML, data science, or applied AI engineering.
Strong programming skills in Python.
Solid understanding of machine learning fundamentals and evaluation techniques.
Familiarity with prompt engineering and large language models (LLMs).
Experience with Retrieval-Augmented Generation (RAG) architectures.
Experience working with APIs and integrating AI into applications.
Familiarity with orchestration frameworks (e.g., LangChain, Semantic Kernel, or similar).

Health and Wellness: A range of medical, dental, and vision insurance plans, mental health support, and wellness initiatives.
Retirement Savings: 401(k) Plan with company matching contributions of up to 6% and additional contributions equal to 3% of eligible pay.
Employee Assistance Program: Confidential counseling services and resources.
Matching charitable donations: Corebridge matches donations to tax-exempt organizations 1:1, up to $5,000.
Volunteer Time Off: Up to 16 volunteer hours annually for community support.
Paid Time Off: At least 24 PTO days for personal and family time.

AI Engineer

Key skills