Synaptic AI Engineer
Bangalore, Karnataka - 1 Sobha Church Street, India
Millennium
Millennium is a global, diversified alternative investment firm with the mission to deliver high-quality returns for our investors.Description:
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 ML engineers and front-end developers to create seamless AI experiences
Work with other internal 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 considered as well)
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture AWS Azure CI/CD Data pipelines Distributed Systems Docker Engineering FastAPI GCP Generative AI Git Golang Java Kubernetes LLMs Machine Learning Model training Pipelines Python Security
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