WIZELINE
AI-native technology solutions
SeniorAIEngineer(PythonAdvanced)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI Engineer (Python Advanced) at WIZELINE. Skills: Python, FastAPI, AWS, LLMs. Design REST APIs. Develop REST APIs”
What You'll Achieve.
accelerating market entry; driving business transformation
Industry & Context.
What They're Looking For.
Must Have
Advanced experience in Python Backend with FastAPI, deep understanding of ASGI, Hands-on experience operating AWS services, knowledge of LLMs, AI Agent frameworks, applied prompt engineering, Proven ability to write and maintain unit and integration tests, Experience with CI/CD pipelines
Nice to Have
AI Tooling Proficiency
What You'll Do.
Design WebSocket APIs
Develop WebSocket APIs
Maintain WebSocket APIs
Operate AWS Cloud Services
Manage AWS Cloud Services
Implement LLM architectures
Implement AI Agent architectures
Maintain CI/CD pipelines
How You'll Work.
Team & Collaboration
collaboration
Full Job Description
We are: Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there’s no limit to what we can achieve Are you a fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role: Key Responsibilities: Design, develop, and maintain production-grade REST and WebSocket APIs using FastAPI, with async patterns, WebSockets, JWT middleware, Pydantic validation, and server lifecycle management. Operate and manage AWS Cloud Services (DynamoDB, ECS, IAM, Bedrock) ensuring availability, security, and scalability. Implement LLM and AI Agent architectures, including prompt engineering, model selection (light vs heavy), and multi-step orchestration flows with frameworks such as LangChain or CrewAI. Ensure code quality through robust testing (pytest, pytest-asyncio, AWS mocking with moto, factories with polyfactory, freezegun) and maintain CI/CD pipelines in GitHub Actions. Must-have Skills: Advanced experience in Python Backend with FastAPI and deep understanding of ASGI. Hands-on experience operating AWS services (DynamoDB, ECS, IAM). Strong knowledge of LLMs, AI Agent frameworks, and applied prompt engineering. Proven ability to write and maintain unit and integration tests from day one. Experience with CI/CD pipelines (GitHub Actions). Nice-to-have: AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. What we offer: A High-Impact Environment Commitment to Professional Development Flexible and Collaborative Culture Global Opportunities Vibrant Communi
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