AI Engineer

Overview

Senior Software Engineer on the AI/ML – Investment Services team, building backend services, data pipelines and generative AI infrastructure that support the firm's investment workflows.

What you'll do

• Build and scale core backend services and platforms that power generative AI applications and data infrastructure used across the firm's investment workflows.
• Design and implement high-throughput, low-latency data pipelines to ingest, normalize, and serve both structured and unstructured data.
• Develop robust APIs and microservices to support model inference, feature serving, and downstream applications.
• Integrate generative AI tools and model-serving workflows into production, including embedding stores, retrieval components, and fine-tuning pipelines.
• Optimize system performance, cost, and reliability through profiling, capacity planning, and architectural improvements.
• Implement automated testing, continuous delivery pipelines, monitoring, and incident response practices to maintain production health.
• Partner with data scientists, AI engineers, product owners, and operations to translate models and prototypes into scalable, production-grade solutions.
• Mentor engineers, lead code reviews, and establish engineering best practices for maintainability, security, and observability.
• Own end-to-end delivery, operational runbooks, and metrics-driven measurement of feature impact and system reliability.

What you'll need

• Bachelor's degree in computer science, software engineering, or a related technical field.
• Minimum 5+ years of professional experience building backend systems and production services.
• Demonstrated experience designing and operating large-scale data engineering pipelines for both batch and streaming workloads.
• Demonstrated hands-on engagement with generative AI tools or development workflows, including model inference, embeddings, or model fine-tuning.
• Proficiency in Python and in at least one systems language such as Java, Go, or C++.
• Strong experience with cloud platforms and services for compute and storage and with containerization and orchestration technologies such as Kubernetes.
• Proven experience with databases and messaging or stream-processing technologies for high-throughput workloads.
• Experience designing and implementing APIs, microservices, CI/CD pipelines, automated testing, and observability tooling.
• Excellent verbal and written communication skills and demonstrated ability to work effectively with cross-functional teams to deliver impactful solutions.
• Commitment to the highest ethical standards.

Details

• Location: Bengaluru, India.