Sr. Software Engineer (AI ML)

Synapseindia; Kolkata District; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

Synapseindia is seeking an experienced AI architect to design and build end-to-end GenAI systems, including LLMs, RAG, and agentic workflows. You will optimize data pipelines, architect cloud-native SaaS platforms, and mentor engineers in scalable, cost-efficient AI solutions.

Strong emphasis on Python, vector databases, embeddings, and multi-cloud experience (AWS/Azure/GCP) with a deep understanding of distributed systems and APIs.

Qualifications

• Expert-level Python (hands-on coding mandatory).
• Deep expertise in vector databases, embeddings and RAG architectures.
• Strong experience with LLMs, GenAI, RAG and Agentic AI.
• Cloud platforms AWS/Azure/GCP.
• Shrewd understanding of SaaS-based architecture and distributed systems.
• Strong data engineering for scalable pipelines, embeddings workflows.

Responsibilities

• Architect and build end-to-end AI systems (GenAI, LLMs, RAG).
• 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.

Skills

Python

LLMs

GenAI

RAG

Agentic AI

Vector databases

Embeddings

AWS

Azure

GCP

SaaS architecture

Distributed systems

Data pipelines

APIs

Microservices

System design

Job description

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

What skills and experience are we looking for?

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