- Location
- Mumbai, Maharashtra, India
- Job type
- Full-time
Required skills
- LangChain
- Python
- AWS
- Azure
- business objectives
- CI
- cross-functional
- Docker
- end-to-end
- Kubernetes
About the role
Nilasu Consulting Services Pvt. Ltd.
Website:
nilasu.com
Job details:
- Must-have skills:
- 2–3 years of experience in Generative AI development
- Strong knowledge of LLMs and RAG (Retrieval-Augmented Generation)
- Experience with AI frameworks such as LangChain, LangGraph, Transformers, etc.
- Proven architecture experience is mandatory
Key Requirements:
- 10+ years of experience in AI/ML with at least 3+ years in GenAI / LLM development
- Strong hands-on experience in Python and AI frameworks (LangChain, Transformers, etc.
- Expertise in RAG architectures, vector databases, and multi-agent systems
- Experience working with LLMs (GPT-4, Claude, open-source models)
- Strong understanding of prompt engineering, evaluation frameworks, and cost optimization
- Experience in building scalable AI systems with CI/CD, Docker, Kubernetes, and cloud (AWS/Azure)
- Exposure to AI safety, monitoring, and responsible AI practices
Role Expectations (Lead Role):
- Design and build end-to-end GenAI solutions aligned with business objectives
- Lead the architecture, design, and implementation of AI/ML systems
- Mentor and guide a team of AI engineers, fostering technical excellence and best practices
- Collaborate with cross-functional teams (Product, Engineering, Business) to deliver measurable impact
- Own project delivery, timelines, and stakeholder communication
- Drive innovation in agentic workflows and AI-powered systems
- Define and enforce best practices for model development, deployment, monitoring, and governance
- Act as a technical leader and key decision-maker for AI strategy and roadmap
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