Note: The job is a remote job and is open to candidates in USA. Fractal is a strategic AI partner to Fortune 500 companies focused on powering enterprise decision-making with intelligence. The Senior GenAI Data Scientist will lead advanced NLP and generative AI projects, developing conversational AI, LLM, and agentic systems while integrating and deploying scalable solutions across cloud and on-premises environments.
Responsibilities
- Design, develop, and optimize generative AI models and agentic chatbot systems
- Build sophisticated conversational AI applications with multi-turn dialogue capabilities
- Implement and customize large language models (LLMs) for specific business use cases
- Develop prompt engineering strategies and fine-tuning approaches for optimal model performance
- Architect scalable AI solutions that can handle high-volume, real-time interactions
- Integrate AI systems with existing enterprise infrastructure and APIs
- Deploy AI solutions across cloud platforms (AWS, Azure, GCP) and on-premises environments
- Design and maintain CI/CD pipelines for AI model deployment and updates
- Ensure robust monitoring, logging, and performance optimization of deployed solutions
- Stay current with latest developments in generative AI, LLMs, and agentic systems
- Evaluate and integrate new AI technologies and frameworks
- Contribute to research initiatives and proof-of-concept projects
- Mentor junior team members and provide technical leadership
- Experience with fine-tuning, RLHF, and prompt engineering techniques
- Knowledge of RAG (Retrieval-Augmented Generation) architectures
Skills
- • Experience with fine-tuning, RLHF, and prompt engineering techniques
- • Knowledge of RAG (Retrieval-Augmented Generation) architectures
- • Hands-on experience building conversational AI agents and chatbots
- • Understanding of dialogue management, intent recognition, and entity extraction
- • Experience with multi-agent systems and agent orchestration
- • Knowledge of conversation design principles and user experience optimization
- • Familiarity and understanding with Model Context Protocol (MCP) implementation
- • Familiarity and understanding of Agent-to-Agent (A2A) communication patterns
- • API design and integration experience
- • Proficiency in cloud platforms (AWS, Azure, GCP) for AI workloads
- • Experience with containerization (Docker, Kubernetes)
- • Knowledge of serverless computing and edge deployment
- • Intermediate-level Python programming skills
- • Experience with ML frameworks: PyTorch, TensorFlow, Hugging Face Transformers
- • Proficiency in API frameworks: FastAPI, Flask, or similar
- • Experience with vector databases and embedding systems
- • Experience with specific AI agent frameworks (LangChain, CrewAI, AutoGen)
- • Strong problem-solving and analytical thinking abilities
- • Excellent communication skills for technical and non-technical audiences
- • Adaptability to rapidly evolving AI technologies and methodologies
- • Ability to deliver on tight deadlines
Benefits
- Eligible full-time employees and hourly employees working more than 30 hours per week may participate in health, dental, vision, life insurance, and disability plans, in accordance with the plan documents.
- Eligible for benefits on the first day of employment with the Company.
- Eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms.
- 11 paid holidays.
- 12 weeks of Parental Leave.
- “Free time” PTO policy, allowing flexibility to take time needed for either sick time or vacation.
- Eligible for a discretionary bonus for the current performance period.
Company Overview
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