Senior Python AI Engineer

Proxify; Colombia; On-site; COP 186,553,242 - 298,485,188; Full time

Benefits offered by this job

Guaranteed monthly payments

Flexible withdrawal options

Up to 24 flex days off

Career-accelerating opportunities

Job summary

Proxify is looking for a Senior Python AI Engineer in Colombia to design and develop backend systems and APIs for AI-powered applications. The ideal candidate should have over 5 years of experience in Python, proficiency in deep learning frameworks like PyTorch or TensorFlow, and experience with LLMs. Responsibilities include building and optimizing AI workflows and collaborating cross-functionally. Proxify offers guaranteed monthly payments, a predictable work schedule, up to 24 paid flex days, and career acceleration opportunities.

Qualifications

• Must have 5+ years of experience in Python and modern frameworks.
• Experience with deep learning frameworks is essential.
• Proficiency in large language models is required.

Responsibilities

• Design and develop backend systems and APIs for AI applications.
• Build and optimize LLM-based workflows.
• Integrate cloud-hosted foundation models for AI products.

Skills

Strong proficiency in Python (5+ years)

Deep learning frameworks (PyTorch, TensorFlow)

Experience with large language models (LLMs)

Experience with prototyping tools (Streamlit, Gradio)

Solid experience designing RESTful APIs

Hands-on experience with containerization (Docker, Kubernetes)

Familiarity with cloud platforms (AWS, Azure, GCP)

Intermediate-advanced English

Tools

Git

Vector databases (Pinecone, Weaviate, Milvus, etc.)

Job description

The Role

Senior Python AI Engineer

Design and develop backend systems and APIs for AI-powered applications. You will play a key role in building scalable backend systems and APIs, collaborating closely with cross-functional teams to shape the future of data-driven products across various platforms.

What we are looking for

• Strong proficiency in Python (5+ years), including modern frameworks (FastAPI, Flask, or Django).
• Deep learning frameworks (PyTorch, TensorFlow) for custom modeling beyond LLM APIs.
• Experience with large language models (LLMs) such as GPT, Gemini, LLaMA, or similar.
• Experience with prototyping tools: Streamlit, Gradio.
• Solid experience designing RESTful APIs and microservice architectures.
• Experience with version control (Git) and CI/CD workflows.
• Hands‑on experience with containerization (Docker, ideally Kubernetes).
• Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
• Understanding of security best practices for handling sensitive data.
• Strong problem‑solving skills to address complex challenges and performance bottlenecks.
• Excellent technical communication skills to collaborate effectively across teams and explain technical concepts to non‑technical stakeholders.
• Ability to work independently while aligning with broader team goals.
• Intermediate‑advanced English level.

AI/ML & LLM Ecosystem

• Experience with vector databases (Pinecone, Weaviate, Milvus, Chroma, FAISS).
• Hands‑on with LLMs & APIs: OpenAI (GPT‑5/5‑mini), Anthropic Claude, Google Gemini, Meta Llama, Mistral.
• Familiarity with AWS Bedrock for accessing and deploying foundation models.
• Prompt engineering and structured output design (JSON mode, function calling).
• Model fine‑tuning (LoRA, QLoRA) and evaluation frameworks (DeepEval, Ragas).

Responsibilities

• Design and develop backend systems and APIs for AI-powered applications.
• Build and optimize LLM‑based workflows, including chatbots, copilots, and automation tools.
• Implement RAG architectures using vector databases and document pipelines.
• Integrate and orchestrate cloud‑hosted foundation models (AWS Bedrock, OpenAI, Anthropic, Google Gemini, Meta Llama, Mistral).
• Collaborate cross‑functionally with data scientists, product managers, and frontend developers to deliver end‑to‑end AI products.
• Ensure performance, scalability, and cost optimization of AI solutions in production environments.
• Monitor, evaluate, and continuously improve deployed AI systems.

What we offer

• Guaranteed on‑time monthly payments with flexible withdrawal options.
• Predictable 8‑hour working days, enabling a harmonious work‑life balance.
• Up to 24 flex days off per year for full‑time positions found through Proxify, without losing pay.
• Career‑accelerating opportunities at cutting‑edge remote companies.
• Hand‑picked matches that bypass typical recruitment biases.
• A single contracting process that opens doors to multiple roles, without additional assessments.
• Consistent pay every month for positions landed through Proxify.