Synaptic AI Engineer
Synaptic AI Engineer
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Job Description
Description:
We are a highimpact and fastpaced infrastructure team looking for an experienced AI Engineer to focus on building and enhancing our nextgeneration AI platform. Our mission is to create products that leverage cuttingedge AI technologies to significantly boost the productivity of our users. Youll 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 backend systems for AI applications (Python)
Develop and optimize AI agent systems and workflows using modern agent frameworks
Collaborate with ML engineers and frontend 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:
57 years of professional software engineering experience
Strong proficiency in Python (Golang and Java considered as well)
Experience building and deploying productiongrade backend 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 problemsolving 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 highavailability architectures
Employment Type
Full-Time
