[Remote] Sr Data Scientist - Gen AI ML - Tampa/Irving

Remote Full-time
Note: The job is a remote job and is open to candidates in USA. Photon is seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. The role involves designing complex multi-agent systems, implementing advanced RAG pipelines, and managing the deployment of both frontier and local LLMs.ResponsibilitiesDevelop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architecturesBuild and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrievalIntegrate and swap diverse LLMs (commercial and open-source) based on performance and cost requirementsDesign and deploy high-performance, scalable backend services using FastAPI and Async PythonFine-tune large language models (LLMs) using PyTorch/TensorFlow to improve domain-specific performanceOptimize GenAI workflows for latency, cost, and reliability using advanced prompt engineering and monitoring toolsContainerize and deploy AI services via Docker to production environmentsSkills7+ years of experience; Hands-on experience building and deploying GenAI applications in a production settingStrong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.)Experience with vector search, embedding models, and advanced data retrieval patternsKnowledge of model fine-tuning techniques and local LLM quantization/hostingFamiliarity with production-grade monitoring, API security, and CI/CD for MLBenefitsMedical, vision, and dental benefits401k retirement planVariable pay/incentivesPaid time offPaid holidaysCompany OverviewPhoton is a technology corporation that provides Strategy Consulting, Creative Design, and Technology Services to global enterprise. It was founded in 2007, and is headquartered in London, England, GBR, with a workforce of 5001-10000 employees. Its website is https://www.photon.in.Company H1B SponsorshipPhoton has a track record of offering H1B sponsorships, with 31 in 2026, 233 in 2025, 168 in 2024, 236 in 2023, 184 in 2022, 157 in 2021, 249 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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