Sr. Software Engineer (AI ML)

synapseindia (events)

3-5 Years

Noida, India

Posted 2 hours ago

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Job Description

SynapseIndia is a software development company with over 26 years of experience, featuring development offices in India and the USA. We serve clients worldwide, delivering innovative solutions tailored to their needs.

Why work with us

Partnerships with Industry Leaders: We are a Google and Microsoft partner, staffed by certified professionals.
Global Presence: As a multinational corporation, we have clients and employees across the globe.
Structured Environment: We follow CMMI Level-5 compliant processes to ensure quality and efficiency.
Timely Salaries: We have consistently paid salaries on time since our inception.
Job Stability: Despite market fluctuations, we have not had to lay off employees.
Work-Life Balance: Enjoy weekends off on the 2nd and last Saturday of every month, with no night shifts.
Our employees are 100% satisfied, thanks to a culture of trust and growth opportunities.
Eco-Friendly Workplace: We promote health and well-being with special anti-radiation and energy removal features in our offices.
We prioritize the job security of all our employees.
Yearly Appraisals: Exceptional performers can receive over 100% increments during appraisals.
We provide Accidental and Medical Insurance to our employees.

Who are we looking for

Designation : Sr. Software Engineer (AI ML)

Experience Range : 3+ years

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

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