AI Engineer
Point72 is hiring an AI Engineer in Bengaluru, India. Level rates it ; you can apply on Point72.
Level's read on this job
- On Level's scale, this AI engineer role is Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include fine tuning.
- Level classifies it as a senior role.
- Level lists 205 other open roles at Point72.
- The role was posted in the last few days.
AI in this role
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/.
How we rate this
AI Engineer at Point72 rates 92 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical AI engineer job
- $184k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: Fine-tuning. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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