Senior Gen AI/Agentic AI Full stack
Actively Hiring
Full-time Posted about 2 months ago
Responsibilities
- check_circle Collaborate with data engineers, data scientists, and business stakeholders to understand the data and the business problems.
- check_circle Proven hands-on Gen AI / Agentic AI and data science with machine learning
- check_circle Strong knowledge of Python
- check_circle Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI.
- check_circle Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure
- check_circle Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions.
- check_circle Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc.
- check_circle Experience with data gathering, data quality, system architecture, coding best practices
- check_circle Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).
- check_circle Experience with Lean / Agile development methodologies
Basic qualifications
- Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field
- Proficient in Python and common machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
- Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform.
- Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).
- Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.
- Experience in creating Web UI applications, ML models & pipelines, Gen AI and Agentic AI solutions.
- Experience in Agentic AI frameworks like Autogen, Crew AI, Semantic Kernal, Langgraph etc.,
- Strong understanding of LLM fine-tuning, local deployment of open source models
- Proficiency in building RESTful APIs using FastAPI, Flask, or Django.
- Knowledge in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation.
- Experience with perception (e.g. computer vision), time series data (e.g. text analysis)
- Data visualization tools such as Tableau, Query languages such as SQL, Hive
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Tags & Focus Areas
Ai Machine Learning Data Science Data Engineer Generative Ai
About Capgemini
We’re seeking an Electrical Design Engineer to join our innovative team focused on building cutting-edge network security and telecommunications hardware. This is a high-impact role where you’ll contribute to the design, development, and optimization of mission-critical systems used by global enterprises.