Senior Software Engineer-Big Data, Generative AI

We are seeking a Senior Distributed Systems & ML Engineer to design and build scalable distributed systems, Big Data pipelines, and ML/Generative AI services. This role will contribute to architecture decisions, integrate AI solutions into production, and mentor engineering teams while ensuring high-quality, production-ready code.

Key Responsibilities

• Design, implement, and maintain scalable distributed systems, data pipelines, and ML services.
• Participate in system architecture discussions and shape production system design decisions.
• Build and optimize microservices and real-time inferencing solutions powering AI Agents.
• Collaborate with cross-functional teams to integrate Big Data and Generative AI solutions into platforms such as Lakehouse, Streaming Services, and ETL Pipelines.
• Write high-quality, production-ready code and engage in design reviews, code reviews, and testing.
• Mentor junior engineers and contribute to engineering best practices.

Requirements

• Degree in Computer Science, Mathematics, or a related field.
• 5+ years of experience across the full software development lifecycle (SDLC) including design, coding, testing, deployment, and operations.
• 3+ years of experience with distributed Big Data systems such as PySpark, Kafka, Lakehouse, Debezium, Druid, or Glue.
• Hands-on experience delivering ML or Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production.
• Experience deploying large-scale systems on cloud platforms such as AWS, Azure, or GCP.
• Strong problem-solving skills with the ability to deliver in fast-paced, collaborative environments.

Preferred Qualifications

• MS in Computer Science, Machine Learning, or a related field.
• Experience with Graph ML such as GNNs or Graph RAG.
• Advanced experience in Generative AI such as RAG, Knowledge Bases, or AI Agents.