Senior Python AI Engineer

Proxify; Argentina; A distancia; ARS 123.440.654 - 145.224.299; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible withdrawal options

Consistent 8-hour working days

Up to 24 flex days off per year

Descripción de la vacante

A leading tech company in Argentina seeks a Senior Python AI Engineer to design and develop backend systems and APIs for AI-powered applications. The ideal candidate has over 5 years of experience in Python, deep learning frameworks, and large language models. This role involves optimizing AI workflows and collaborating with cross-functional teams. Candidates will enjoy flexible working hours, competitive pay, and opportunities to work with top-tier clients globally.

Formación

• Strong problem-solving skills to address complex challenges.
• Excellent technical communication skills.
• Ability to work independently and align with team goals.

Responsabilidades

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

Conocimientos

Proficiency in Python (5+ years)

Deep learning frameworks (PyTorch, TensorFlow)

Experience with LLMs (GPT, Gemini, etc.)

RESTful APIs and microservice architectures

Containerization (Docker, Kubernetes)

Cloud platforms (AWS, Azure, GCP)

Intermediate-advanced English level

Herramientas

Version control (Git)

CI/CD workflows

Descripción del empleo

The Role

We are looking for a Senior Python AI Engineer to join our fast-growing Network, who will design and develop backend systems and APIs for AI-powered applications. You will play a key role in designing and 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

Get paid, not played

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Predictable project hours

Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.

Flex days, so you can recharge

Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.

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Compensation

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