Senior Software Engineer -Big Data- Generative AI (Remote - India)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer – Big Data & Generative AI in India.

As a Senior Software Engineer in Big Data and Generative AI, you will play a pivotal role in building next-generation AI-driven platforms that transform the way businesses manage and interact with data. You will design and implement scalable distributed systems, develop high-performance data pipelines, and contribute to the deployment of cutting-edge Generative AI solutions. This role offers a unique opportunity to work on AI Agents, RAG systems, knowledge bases, and machine learning services while collaborating with cross-functional teams in a fast-paced, innovation-focused environment. You will influence product architecture, mentor junior engineers, and drive projects from concept to production, shaping the future of intelligent, data-powered solutions.

Accountabilities:

• Design, develop, and maintain scalable distributed systems, data pipelines, and ML/AI services.
• 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.
• Participate in system architecture discussions, design reviews, and code reviews.
• Write production-ready, high-quality code, ensuring reliability, scalability, and maintainability.
• Mentor and guide junior engineers, fostering engineering best practices.
• Contribute to continuous improvement of processes, tools, and workflows in a collaborative environment.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, or a related field.
• 5+ years of experience across the full software development lifecycle including design, coding, testing, deployment, and operations.
• 3+ years of hands-on experience with distributed Big Data systems such as PySpark, Kafka, Lakehouse, Debezium, Druid, or Glue.
• Proven experience delivering ML or Generative AI solutions, including 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.
• Excellent communication, teamwork, and mentoring abilities.

Preferred Qualifications:

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

Benefits

• Opportunity to work on cutting-edge AI, Big Data, and cloud technologies.
• Fully remote work from India with global collaboration.
• Career growth through mentorship, challenging projects, and exposure to advanced technologies.
• Inclusive and diverse workplace culture that values innovation and collaboration.
• Engagement in greenfield projects and next-generation product development.
• Recognition for high-quality work, problem-solving, and contributions to AI innovation.

Jobgether AI Matching Process

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, the 3 candidates with the highest match are automatically shortlisted.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once shortlisted, your profile is shared directly with the hiring company, which manages interviews or further assessments.

Thank you for your interest!