Senior GenAI Data Scientist

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.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

GenAI Data Scientist / AI Engineer

Role Overview:

AI Engineer to help us build advanced solutions using Large Language Models (LLMs) and generative AI. If you love taking ownership, solving complex problems, and staying ahead of the curve in AI innovation, you’ll thrive here. You’ll work across the full development lifecycle designing, coding, testing, and deploying while collaborating with cross-functional teams to bring intelligent systems to life.

Key Responsibilities

- Design, develop, and deploy
generative AI and agentic AI systems
that autonomously execute multi-step tasks, adapt to changing contexts, and deliver intelligent outcomes.
- Conduct ongoing research to stay current with emerging trends and breakthroughs in
generative AI and LLM
technologies.
- Architect and implement
AI agents (e.g., using LangGraph, AutoGen, CrewAI, or custom-built frameworks)
capable of tool-calling, decision-making, memory retention, and recursive problem-solving.
- Develop robust pipelines that incorporate
retrieval-augmented generation (RAG),
vector search, and structured reasoning workflows.
- Evaluate agent performance using task success metrics, hallucination detection, grounding accuracy, and human-in-the-loop feedback systems.
- Stay on top of the latest developments in autonomous agents, multi-agent systems, and chain-of-thought/tree-of-thought prompting strategies.
- Demonstrate strong communication and teamwork skills, fostering a collaborative and productive work environment
- Contribute across the full software development lifecycle: design, coding, testing, deployment, and maintenance
- Participate in code reviews to ensure adherence to high standards of code quality and best practices
- Build and fine-tune
large language models (LLMs)
and integrate them with tool-use frameworks, planning modules, and knowledge bases.
- Build and maintain robust code libraries, tools, and frameworks to accelerate generative AI development

Technical Skills:

- Experience developing agent-based architectures that combine LLMs with APIs, databases, planning algorithms, and user interfaces.
- LLM libraries:
LangChain, LlamaIndex, Hugging Face Transformers
- Agentic frameworks:
LangGraph, AutoGen, CrewAI, Semantic Kernel
- Vector stores:
Pinecone, Weaviate, FAISS, Chroma
- Model APIs:
OpenAI, Anthropic, Mistral, Meta, etc.
- Deep understanding of prompt engineering, memory design, tool-calling APIs, and AI reasoning methods.
- Knowledge of responsible AI practices, including safety, bias mitigation, and user alignment in autonomous systems.
- Experience deploying autonomous agents in real-world applications (e.g., AI copilots, data automation, intelligent assistants).
- Familiarity with multi-agent coordination, agent memory management, and task decomposition techniques.
- Experience with open-source agent frameworks or custom-built orchestration layers.
- Understanding of MLOps practices and managing AI infrastructure at scale (e.g., Kubernetes, Ray, serverless functions).
- Published work or open-source contributions in LLM-based agents, planning, or multi-modal generative systems.

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:
$120,000 - $155,000
. In addition, you may be eligible for a discretionary bonus for the current performance period.

Benefits

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 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.*