Full Stack Data Scientist

Fractal; United States; On-site; USD 120,000 - 145,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Parental leave

Flexible PTO

Job summary

A leading AI consulting firm is seeking a Full Stack Data Scientist to develop advanced Generative AI projects. The role requires strong expertise in Python and experience with API development. Candidates should have a deep understanding of RAG architectures and generative AI technologies. This position offers an opportunity to collaborate with cross-functional teams and drive actionable business outcomes.

Qualifications

• 5+ years of hands-on experience with Python.
• Strong experience with API development using FastAPI or Django REST Framework.
• 2+ years of experience with generative AI and large language models.

Responsibilities

• Develop advanced Generative AI projects.
• Collaborate closely with cross-functional teams.
• Implement sophisticated RAG systems.

Skills

Python

API development

Generative AI

DevOps practices

Containerization (Docker)

Cloud platforms (AWS, GCP, Azure)

Tools

FastAPI

Django REST Framework

Apache Airflow

Job description

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This range is provided by Fractal. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120.00/yr - $145.00/yr

Direct message the job poster from Fractal

Client Manager/Service Manager/Recruitment Manager

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.

Role Overview: We are seeking a highly skilled Full Stack Data Scientist specializing in GenAI, LLM, RAG, Transformers, and Python to join our dynamic team. In this role, you will develop advanced Generative AI projects, leveraging your deep expertise to extract meaningful insights from unstructured text data. You will collaborate closely with cross-functional teams to develop cutting-edge solutions that drive actionable business outcomes.

Full Stack Data Scientist

Job Description

Programming & Software Engineering

• 5+ years of hands-on experience with Python
• Strong experience with API development using FastAPI, Django REST Framework, or Flask
• Experience with CI/CD pipelines, automated testing, and DevOps practices
• Familiarity with microservices architecture and distributed systems
• Knowledge of database systems (SQL and NoSQL), caching strategies, and data modeling
• 2+ years of experience with generative AI and large language models
• Deep understanding of RAG architectures, including vector databases (e.g., Pinecone, Weaviate, ChromaDB), embedding models, and retrieval strategies
• Proven experience with agentic AI systems, including agent orchestration, tool usage, and autonomous decision-making frameworks
• Experience with transformer architectures, fine-tuning techniques, and prompt engineering
• Proficiency with AI frameworks such as OpenAI API, Anthropic Claude, LangChain, LlamaIndex, or Haystack
• Understanding of AI evaluation metrics, testing methodologies, and performance optimization
• Proficiency in Databricks for scalable data engineering, collaborative analytics, and ML workflows
• Strong experience with containerization (Docker) and orchestration (Kubernetes)
• Expertise in orchestration tools like Apache Airflow, Prefect, or Dagster
• Proficiency in cloud platforms (AWS, GCP, or Azure) with AI/ML services

Professional Attributes

• Curiosity-driven approach to learning and staying current with the evolving AI landscape
• Strong adaptability and willingness to learn new technologies and frameworks
• Data-driven decision-making and problem-solving skills
• Original:
• Design and implement sophisticated RAG (Retrieval-Augmented Generation) systems with advanced information retrieval and generation capabilities
• Develop and optimize agentic AI systems with autonomous decision-making, multi-step reasoning, and goal-oriented behavior
• Build and fine-tune generative AI models for various applications including text, code, and multimodal content generation
• Implement vector databases, semantic search, and knowledge grounding systems
• Design and develop robust, scalable end-to-end applications from conception to production deployment
• Build and maintain comprehensive API ecosystems including RESTful services, GraphQL APIs, and real-time data streaming
• Implement sophisticated orchestration systems for complex workflows, data pipelines, and multi-service architectures
• Ensure high availability, performance optimization, and fault-tolerant system design
• Research and evaluate emerging AI technologies, frameworks, and methodologies
• Make informed architectural decisions and provide technical guidance on AI integration strategies
• Collaborate with cross-functional teams to translate business requirements into technical solutions
• Lead proof-of-concept development and rapid prototyping initiatives
• Design and implement data ingestion, processing, and management systems for AI workflows
• Work with large-scale datasets, embedding systems, and knowledge bases
• Integrate external data sources and third-party services into AI applications
• Implement monitoring, logging, and observability solutions for AI systems
• Original:
• 5+ years of software engineering experience with strong Python proficiency
• 2+ years of hands-on experience with generative AI technologies and large language models
• Deep understanding of RAG architectures, including vector databases (Pinecone, Weaviate, ChromaDB), embedding models, and retrieval strategies
• Proven experience with agentic AI systems, including agent orchestration, tool usage, and autonomous decision-making frameworks
• Strong experience in API development and management using frameworks like FastAPI, Django REST Framework, or Flask
• Expertise in orchestration tools such as Apache Airflow, Prefect, Dagster, or similar workflow management systems
• Proficiency with major AI frameworks: OpenAI API, Anthropic Claude, LangChain, LlamaIndex, or Haystack
• Experience with transformer architectures, fine-tuning techniques, and prompt engineering
• Knowledge of vector databases and similarity search algorithms
• Understanding of AI evaluation metrics, testing methodologies, and performance optimization
• Strong experience with containerization (Docker) and orchestration (Kubernetes)
• Proficiency in cloud platforms (AWS, GCP, or Azure) with AI/ML services
• Proficiency in Databricks for scalable data engineering, collaborative analytics, and machine learning workflows
• Experience with CI/CD pipelines, automated testing, and DevOps practices
• Knowledge of database systems (SQL and NoSQL), caching strategies, and data modelling
• Familiarity with microservices architecture and distributed systems
• Curiosity-driven approach to learning and staying current with rapidly evolving AI landscape
• Strong adaptability and willingness to learn new technologies and frameworks
• Informed decision-making abilities with data-driven approach to problem-solving
• Excellent communication skills for technical documentation and cross-team collaboration

Required Experience & Technical Skills

• Experience: 7+ Yrs in Software Engineer and 2+ yrs in Gen AI

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 - $145,000. 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 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  IT Services and IT Consulting

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Medical insurance

Vision insurance

401(k)

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