Fractal
AI

Machine Learning Engineer

Fractal · California, United States · $90k - $120k

Actively hiring Posted 3 months ago

Role overview

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner
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Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Role Overview**

The team is seeking a hands‑on AI Agent Developer who can design, build, and iterate on data‑driven AI agents using technologies such as Fabric, Azure, and Copilot Studio. The role requires strong engineering fundamentals, fast iteration, the ability to anticipate issues, and effective collaboration with both technical and non‑technical stakeholders.

*Core Responsibilities

AI Agent Development**

  • Build and deploy AI data agents connected to enterprise datasets and semantic models in Fabric.
  • Configure prompts, grounding strategies, exemplars, and agent instructions.
  • Implement multi‑agent architectures, including parent/child routing, delegation, and fallback patterns.
  • Prompt Engineering & Evaluation
  • Write clear system messages, input/output formats, and guardrails.
  • Evaluate prompt behavior for reliability, correctness, retrieval quality, and output safety.
  • Instrument evaluation loops and continuously improve models based on telemetry and feedback.
  • Data & Semantic Model Integration
  • Integrate agents with Fabric Lakehouse/Warehouse datasets and semantic models.
  • Work with data engineers to define data requirements and ensure proper schema alignment.
  • Map user intents to the correct data fields and grounding sources.
  • Backend Engineering (Python / SQL / Azure)
  • Build supporting utilities and APIs using Python, SQL, and Azure services.
  • Integrate agents with retrieval layers such as Cognitive Search, vector indexes, or API endpoints.
  • Rapid Iteration & Quality
  • Move quickly from MVP → v1 → vNext with minimal hand‑holding.
  • Detect and diagnose issues such as data gaps, grounding mismatches, prompt failures, or routing errors.
  • Recommend fixes and drive continuous improvements.
  • Collaboration & Communication
  • Communicate technical reasoning clearly to engineers, architects, PMs, and non‑technical partners.
  • Break work into clear phases, milestones, dependencies, and delivery plans.
  • Responsible AI, Privacy, and Governance Expectations
  • Responsible AI Principles
  • Apply widely‑recognized Responsible AI (RAI) practices such as safety, privacy, transparency, fairness, and accountability.
  • Implement guardrails that reduce harmful or unintended model behavior.
  • Recognize scenarios where model responses may pose risk and apply mitigation strategies.
  • Privacy & Data Protection
  • Handle sensitive or private information using secure access patterns.
  • Follow data‑minimization approaches when interacting with enterprise datasets.
  • Ensure agents respect role‑based access, approved data sources, and avoid unnecessary logging or data exposure.
  • Governance & Process Alignment
  • Document agent logic, prompts, and routing in an auditable way.
  • Use appropriate environment and access controls.
  • Follow standard engineering processes such as version control and change documentation.
  • Participate in reviews related to data usage, security, and risk.

What we're looking for

  • Experience with Copilot Studio, agent orchestration frameworks, or Fabric Data Agents.
  • Familiarity with retrieval‑augmented generation (RAG), vector search, metadata enrichment, and evaluation pipelines.
  • Understanding of enterprise data governance, privacy practices, and data stewardship.
  • Experience creating telemetry dashboards or analytics to measure agent performance and quality.

Pay:

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $90k - $120k. In addition, you may be eligible for a discretionary bonus for the current performance period.

As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws

Tags & focus areas

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Machine Learning Ai Fulltime