Senior Python Engineer - ML/AI Team – Remote LATAM

Remote

Full Time

Experienced

Excellent opportunity to work REMOTELY with a U.S.-based company. Candidates living in Mexico, or all LATAM are welcome to apply.

About the Company

Bydrec, Inc. is a California-based company that connects top Tech talent from Latin America with U.S. companies looking to expand their development teams. Learn more at bydrec.com.

About the Role

We’re looking for a Senior Python Engineer to help shape the next generation of intelligent products on our ML/AI team. You’ll design and build the systems that bring machine learning and generative AI out of the lab and into the hands of real users, from scalable cloud-native backends to the APIs and interfaces that make AI accessible. This isn’t a research-only role. You’ll own the full lifecycle, prototyping new ideas, architecting production-grade services on Google Cloud Platform, and shipping features that customers interact with every day. If you love working at the intersection of software engineering and AI, and you want your code to have an immediate, visible impact, this is your role.

Responsibilities:

Build & Ship AI-Powered Products

Design, develop, and deploy production ML/AI services end-to-end, from model integration through client-facing APIs.
Build event-driven, real-time architectures using Cloud Functions, Cloud Run, Kubernetes, Pub/Sub, and similar GCP services.
Integrate transformer-based models and LLMs into scalable inference pipelines, handling prompt engineering, output formatting, and graceful error recovery.
Write clean, well-tested Python backends that power seamless full-stack experiences.

Own the Architecture

Lead design sessions and whiteboarding, translating product requirements into robust technical architectures.
Drive projects from concept to production with minimal handholding; set pace, raise the bar.
Champion engineering best practices: CI/CD, observability, testing, infrastructure-as-code.

Collaborate & Communicate

Partner closely with other engineers, product owners, and data scientists to align priorities and deliver iteratively.
Translate AI concepts into clear, actionable plans so non-tech stakeholders can rally behind.
Participate in code reviews, architecture discussions, and knowledge-sharing sessions.

Technical Requirements:

Must-Haves:

4–6+ years of professional backend or full-stack software engineering experience with a strong Python focus.
Proven track record designing and deploying cloud-native applications (GCP strongly preferred; AWS/Azure considered).
Hands-on experience building resilient, event-driven microservices and RESTful/gRPC APIs.
Solid understanding of containerization (Docker), orchestration (Kubernetes), and serverless paradigms.
Strong experience with SOLID design principles.
Good communicator who thrives in cross-functional, agile teams.
Comfort using AI tools to accelerate development throughput.
Advanced English communication skills.

Good to Have:

Experience deploying and serving ML models or LLMs in production.
Familiarity with prompt engineering, retrieval-augmented generation (RAG), vector search, or fine-tuning workflows.
Exposure modern AI orchestration frameworks (LangChain, Google ADK, etc).
Experience with infrastructure-as-code tools (Terraform, Pulumi) and CI/CD pipelines.
Bachelor's degree in computer science, or a related field (or equivalent practical experience).

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1. How many years of experience do you have developing Python backends in production environments (including APIs and microservices)?*

2. How many years of experience do you have designing and deploying cloud-native applications, especially on Google Cloud Platform (including services like Google Cloud Run and Google Cloud Functions)?*

3. How many years of experience do you have building real-time, event-driven architectures (e.g., with Google Cloud Pub/Sub or other tools)?*

4. How many years of experience do you have integrating machine learning models or LLMs into applications (including inference, prompt engineering, and pipelines)?*

5. How many years of experience do you have designing APIs (REST or gRPC) to expose services, including integrations with systems or AI models?*

6. How many years of experience do you have working with containers (Docker), orchestration such as Kubernetes, and serverless architectures?*

7. How many years of experience do you have leading solution design (architecture, whiteboarding, and technical decisions)?*

8. How many years of experience do you have implementing practices such as CI/CD, testing, observability, and infrastructure as code (e.g., Terraform or Pulumi)?*

9. How many years of experience do you have with advanced techniques such as RAG, vector search, or frameworks like LangChain?*

10. How many years of experience do you have working in multidisciplinary agile teams and communicating technical solutions to non-technical stakeholders?*

11. What is your salary expectation for a contractor position? (monthly amount in US dollars)**

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Senior Python Engineer - ML/AI Team – Remote LATAM

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