Software Engineer II

Join us at Seismic, a cutting-edge technology company leading the way in the SaaS industry.

We specialize in delivering modern, scalable, and multi-cloud solutions that empower businesses to succeed in today’s digital era.

Leveraging the latest advancements in technology, including Generative AI, we are committed to driving innovation and transforming the way businesses operate.

As we embark on an exciting journey of growth and expansion, we are seeking engineering talent to join our AI team in Hyderabad, India.

We are seeking a versatile Data Engineer with 2+ years of experience to build and scale the data infrastructure powering our organization.

You will develop robust pipelines and optimize architectures that bridge the gap between traditional analytics and next-generation AI.

In this role, you will work at the intersection of large-scale data processing and modern AI, building the critical foundations for high-performance applications and agentic workflows.

• Experienced Engineer: You have 2+ years of professional experience in data engineering or a backend-heavy software engineering role.
• Python Expert: You possess expert-level Python coding skills (Must Have), with a focus on writing clean, scalable, and asynchronous code.
• LLM Orchestrator: You have deep, hands-on experience (Must Have) with LangChain or LangGraph to build sophisticated multi-step chains and agentic systems.
• Vector DB Specialist: You have proven experience (Must Have) implementing and tuning Vector Databases for high-volume RAG pipelines.
• Data Foundationist: You have a strong understanding of traditional data modeling, ETL/ELT processes, and working with SQL/NoSQL databases.
• AI-Literate: You have a solid grasp of embedding models, tokenization, and modern information retrieval techniques.
• Agile & Innovative: You thrive in fast-paced environments and enjoy staying updated with the rapidly evolving landscape of GenAI and search technologies.
• Architect AI Data Pipelines: Design and maintain robust data ingestion and transformation pipelines tailored for LLM training, fine-tuning, and Retrieval-Augmented Generation (RAG).