AI Solutions Developer

CapgeminiTampa, FL
1d

About The Position

We are seeking a highly skilled AI Solutions Developer with strong expertise in building end to end AI/ML applications using Python and modern AI frameworks such as LangChain PyTorch and TensorFlow. The role involves designing developing and deploying intelligent solutions including LLM powered applications machine learning models automation pipelines and AI driven integrations

Requirements

  • Strong hands on experience with Python for AI/ML development
  • Proficiency with PyTorch TensorFlow or similar deep learning frameworks
  • Experience developing LLM based applications using LangChain embeddings vector databases FAISS Chroma Pinecone or similar technologies
  • Ability to design and implement end to end ML pipelines training validation deployment
  • Strong understanding of machine learning concepts NLP and deep learning architectures
  • Solid experience with APIs microservices and cloud based deployment
  • Strong analytical debugging and problem solving skills

Responsibilities

  • AI/ML Model Development: Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and related frameworks
  • LLM Generative AI Solutions: Develop applications powered by Large Language Models using LangChain vector databases embeddings and prompt orchestration frameworks
  • Python Based Application Development: Build scalable AI services automation tools and backend components using Python
  • Data Engineering Pipelines: Prepare transform and manage datasets build feature pipelines and model training workflows
  • Model Deployment MLOps: Deploy models into production using APIs containerization Docker CICD and cloud platforms
  • Evaluation Optimization: Perform model tuning evaluation and performance optimization to ensure accuracy efficiency and reliability
  • Cross Functional Collaboration: Work closely with product engineering and business teams to translate strategic requirements into AI driven technical solutions
  • Experimentation Research: Stay up to date with emerging AI technologies evaluate new tools and prototype innovative solutions

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
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