Senior AI Engineer (Python Advanced)

Posted 10 Days Ago
Be an Early Applicant
Hiring Remotely in Colombia
Remote
Senior level
Information Technology • Consulting
The Role
Design and maintain REST and WebSocket APIs using FastAPI, manage AWS services, implement AI architectures with prompt engineering, and ensure code quality through testing and CI/CD.
Summary Generated by Built In

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 Community
  • Total Rewards

*Specific benefits are determined by the employment type and location.

Find out more about our culture here.

Skills Required

  • Advanced experience in Python Backend with FastAPI
  • 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
  • Experience with CI/CD pipelines (GitHub Actions)

Wizeline Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wizeline and has not been reviewed or approved by Wizeline.

  • Healthcare Strength Core coverage spans medical, dental, vision, life and disability insurance, with private medical commonly included in Mexico. Additional support such as EAP and wellness programs is also referenced.
  • Leave & Time Off Breadth Paid vacation, holidays, sick leave, volunteer time, and parental leave are called out, alongside flexible or remote work options. Unlimited PTO is mentioned in some contexts.
  • Retirement Support Savings and retirement elements appear across regions, including a 401(k) in the U.S. and a savings fund and profit sharing in Mexico. These components provide structured long-term financial benefits.

Wizeline Insights

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The Company
1,444 Employees
Year Founded: 2014

What We Do

Wizeline, a global technology services provider, builds the best digital products and platforms at scale. We focus on measurable outcomes, partnering with our customers to modernize core technologies, mature data-driven capabilities, and improve user experience.

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