Summary
Location
Bengaluru
Type
full-time
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About this role
AI Engineer
We are a high-impact and fast-paced infrastructure team looking for an experienced AI Engineer to focus on building and enhancing our next-generation AI platform. Our mission is to create products that leverage cutting-edge AI technologies to significantly boost the productivity of our users. You'll be responsible for designing, implementing, and optimizing the core AI systems that power our platform, working with large language models, agent frameworks, and ensuring high performance and reliability of our AI services.
Key Responsibilities:
Design and implement scalable back-end systems for AI applications (Python)
Develop and optimize AI agent systems and workflows using modern agent frameworks
Collaborate with other AI/ML engineers and front-end developers to create seamless AI experiences
Work with other internal AI teams to integrate automations and other functionality into our core platform
Build robust APIs and services that power our AI features
Implement and maintain efficient data pipelines for AI model training and inference
Ensure system reliability, performance, and security
Contribute to technical architecture decisions and best practices
Work within an agile team environment to deliver features on schedule
Required Qualifications:
5-7 years of professional software engineering experience
Strong proficiency in Python (Golang and Java also consdiered)
Experience building and deploying production-grade back-end services
Knowledge of RESTful APIs and microservice architectures
Understanding of AI/ML concepts and integration patterns
Experience with version control systems (Git) and CI/CD pipelines
Strong problem-solving skills and attention to detail
Excellent communication and collaboration skills
Preferred Qualifications:
Experience with AI agent frameworks such as LangGraph, smolagents, or Autogen
Familiarity with Model Context Protocol (MCP)
Experience working with large language models and generative AI
Understanding of vector databases and retrieval systems
Experience with FastAPI or other async/middleware driven python web frameworks
Knowledge of cloud platforms (AWS, GCP, or Azure)
Experience with containerization and orchestration (Docker, Kubernetes)
Proficiency in performance optimization and scaling of AI applications
Background in distributed systems or high-availability architectures
Other facts
About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989, which manages $83.5 billion in assets. Defined by evolution, innovation and focus, Millennium's mission is to deliver high-quality returns for our investors.
Millennium seeks to empower talented professionals with the sophisticated expertise, resources and technology to pursue a diverse range of investment strategies across industry sectors, asset classes and geographies.
See our community guidelines at: mlp.com/guidelines
Read our disclosures at: https://www.mlp.com/disclosures/
What you'll do
- The AI Engineer will design, implement, and optimize core AI systems for the platform, focusing on scalability and performance. Responsibilities include collaborating with teams, building APIs, and maintaining data pipelines for AI model training and inference.
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