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