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AI Solutions Developer

Capgemini
USD 56,186 - 87,556 / year

About this role

Job title: AI Solutions Developer

About the Role 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.

What You'll Do

  • 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, CI/CD 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

What We're Looking For

  • 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)
  • 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

Compensation & Benefits

  • Base salary range: 56,186 - 87,556 USD per year
  • Benefits in the U.S. and Canada may include: Vacation 12-25 days (varies by grade), company paid holidays, personal days, sick leave; Medical, dental, and vision coverage; Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada); Life and disability insurance; Employee assistance programs; Other benefits per local policy
  • Additional compensation such as variable incentives, bonuses, or commissions may apply depending on position and applicable laws
  • Non-negotiable comprehensive benefits package for all regular, full-time employees

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