Synaptic Ai Engineer

Synaptic AI Engineer

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