AI Engineer
Point72 (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and scale backend services and platforms supporting generative AI applications and investment data workflows.
- Design and operate high-throughput, low-latency data pipelines for structured and unstructured data processing, including APIs and microservices for model inference and feature serving.
- Own end-to-end delivery including system performance optimization, automation (CI/CD, testing, monitoring), operational runbooks, and mentoring engineering team members.
Minimum Requirements
- Bachelor’s degree in computer science, software engineering, or related technical field.
- Minimum 5+ years of professional experience building backend systems and production services.
- Hands-on experience with generative AI tools or workflows such as model inference, embeddings, or fine-tuning.
- Proficiency in Python and at least one systems language (Java, Go, or C++); strong experience with cloud platforms, containerization (Kubernetes), databases, stream-processing, API development, CI/CD, automated testing, and observability tooling.
Ideal Candidate Profile
- Experienced backend engineer with a background in large-scale data engineering pipelines for batch and streaming workloads.
- Practitioner comfortable integrating AI/ML models into production environments and optimizing system scalability and reliability.
- Capable of cross-functional collaboration with data scientists and product owners, and leadership in establishing engineering best practices and mentoring juniors.