C5i
Website:
c5i.ai
Job details:
We are looking for an experienced Gen AI Lead to drive the design, development, and deployment of enterprise-grade Generative AI solutions. The ideal candidate will have strong experience delivering end-to-end Gen AI implementations and leading AI-driven innovation initiatives.
📍 Location: Bengaluru-Mahadevpura
🏢 Work Mode: 5 Days Work from Office
Required Qualifications:
Key Responsibilities
- Design and deliver end-to-end Generative AI solutions including LLM applications, RAG pipelines, and AI agent workflows.
- Develop scalable ML/GenAI systems covering data ingestion, model development, evaluation, and deployment.
- Translate business reporting and analytics requirements into AI-driven solutions integrated with enterprise data platforms.
- Ensure production-grade engineering practices including modular code design, reusability, and maintainability.
- Define and enforce Python engineering standards, including OOP principles, abstract classes, and design patterns.
- Lead collaboration with platform and engineering teams for scalable deployment and integration of AI solutions.
- Ensure code quality, version control, and collaboration using Git (branching strategies, PR reviews, release management).
- Provide technical leadership in solution design, code reviews, and best practices across GenAI and ML engineering.
- Drive innovation by evaluating and adopting emerging GenAI frameworks and tools.
- Work with global stakeholders to align business needs with AI capabilities.
Required Skills & Qualifications
- 8+ years of experience in Data Science / ML / AI engineering with strong focus on production ready implementations.
- Must have worked on and delivered at least one end-to-end GenAI project covering RAG / agents / LLM applications
- Strong analytical, problem-solving, and communication skills & experience working with cross-functional and global teams
- Bachelor’s or master’s degree in computer science, Data Science, AI, or related field
Technical Expertise
- Hands-on with ML frameworks such as PyTorch, TensorFlow, pandas or Scikit-learn.
- Strong understanding of ML lifecycle from data preprocessing, feature engineering, model training, evaluation, and deployment.
- Strong proficiency in Python (3+ years) with ability to write modular production-grade code, refactor & Optimize codebase, Strong hold on OOP concepts.
- Ability to proficiently use Git or similar environment on branching strategies (feature, release, hotfix), code versioning, PR reviews, and collaboration, experience building maintainable and testable codebases
- Experience with LLMs and prompt engineering, hands-on experience with RAG pipelines and vector databases, Frameworks like LangChain, LangGraph, Multi-agent systems (e.g., CrewAI) and MCP-based architectures
- Familiarity with cloud platforms (AWS, Azure, or GCP)
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