Below is the :

Required Technical Skills & Qualifications

- Experience: 4-12 years of professional software development experience with a strong focus on Python and libraries like NumPy, Panda, Scikit-learn etc
- Generative AI: Proven expertise in LLM implementations, LangChain (or similar orchestration frameworks), Agentic AI, and RAG pipelines.
- Machine Learning: Solid understanding of foundational Machine Learning concepts, algorithms, and workflows.
- Web Frameworks: Strong hands-on experience building robust APIs using Flask, Django, FastAPI, or equivalent Python frameworks.
- Data & Storage: Good understanding of structured and unstructured data, modelling and exceptional SQL skills with deep knowledge of database design and query optimization. Database Postgres/MS SQL/ Oracle
- Cloud : Hands-on experience with cloud platforms such as GCP or AWS, Azure

Skilled & Soft Skills
- Autonomy: Proven ability to work independently,



self-manage, and resolve engineering blockers proactively.
- Adaptability: Thrives in fast-paced, high-pressure, and agile delivery environments.
- Mindset: A continuous learner with a growth mindset, passionate about keeping up with rapid advancements in AI.
- Communication: Excellent interpersonal and collaborative skills to work effectively within a team.
- Availability: Immediate or near-immediate availability to join the team is highly preferred.

Preferred (Nice-to-Have) Skills
- DevOps Practice: Exposure to CI/CD pipelines, containerization (Docker/Kubernetes), and infrastructure as code.
- Full-Stack Capability: Basic front-end development experience (React, Vue, or Angular) to build internal tool prototypes.

📌 Here is An Exciting Opportunity - GEN AI Engineer - Capgemini (Bengaluru)
🏢 Capgemini
📍 Bengaluru