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aimlroles

AI Engineer

Point72 point72.com Open · verified Nov 1, 2026
Bengaluru Full-time Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Point72. Bengaluru · full-time.

Pay not stated AI Engineer salary

RoleAI Engineering
SeniorityMid-level
LocationBengaluru
EmploymentFull-time
PostedOct 29, 2026 · 3d ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build backend services and platforms that support generative AI applications and data used in investment workflows
  • Create fast data pipelines that ingest and prepare structured and unstructured information for use
  • Develop APIs and microservices for model inference, feature delivery and downstream applications
  • Bring generative AI workflows into production, including retrieval, embedding storage and fine-tuning
  • Improve reliability and performance, and guide delivery through testing, monitoring, reviews and operational practices

What you bring

  • A bachelor’s degree in computer science, software engineering or another related technical field
  • At least five years building backend systems and production services
  • Experience operating large-scale batch and streaming data pipelines, plus hands-on work with generative AI workflows
  • Python proficiency and skill in a systems language such as Java or Go
  • Experience with cloud services, containers, Kubernetes, databases, messaging, APIs and production delivery tooling

Who this fits

This role suits an experienced backend engineer who can take AI and data systems from development into production. You’ll work across technical and product teams, and the role includes mentoring engineers and leading code reviews.

From the employer

Senior Software Engineer, AI/ML Platform

A Career with Point72's AI/ML – Investment Services Team

The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning.

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'S REQUIRED

  • 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

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

  • Health care benefits
  • Maternity, Adoption & related leave policies
  • Generous paternity and family care leave policies
  • Employee Assistance Program & Mental wellness programs
  • Transportation support
  • Tuition assistance

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.

Opportunity

AI Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

AI Engineering

Find me work

By the team behind aimlroles.

Find me work
Opportunity

AI Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind aimlroles.