What is the work?
Architect and build end-to-end AI systems (GenAI, LLMs, RAG, Agentic workflows)
Design and optimize RAG pipelines (data ingestion embeddings retrieval)
Lead development of Agentic AI systems and autonomous workflows
Architect SaaS-based, cloud-native AI platforms
Design scalable data pipelines (ETL/ELT, batch & streaming)
Optimize performance, cost, and scalability of AI systems
Mentor junior engineers and drive engineering best practices
Collaborate with product and business teams for solution design
Purely Technical Role: This is a strictly technical position focused on technical leadership, architecture, development guidance, troubleshooting, code reviews, and providing hands-on technical assistance to the development team. The role does not involve project management, administrative, or non-technical delivery responsibilities.
Technical Solutioning & Team Support:



Provide technical solutioning for complex requirements and issues, evaluate different technical approaches, guide developers in implementation, and work closely with the team to ensure the right architecture, technology, and development approach is followed across projects.

What skills and experience are we looking for?
Expert-level Python (hands-on coding is mandatory)
Solid experience with LLMs, GenAI, RAG, and Agentic AI
Mandatory: Deep expertise in vector databases, embeddings, and RAG architectures
Robust experience with cloud platforms (AWS/Azure/GCP)
Strong understanding of SaaS-based architecture and distributed systems
Solid data engineering expertise in designing scalable pipelines, Data preprocessing & embedding workflows
Experience with APIs, microservices, and system design

📌 Technical Team Lead Ai & Ml Noida
🏢 SynapseIndia
📍 Noida