Senior Python AI Engineer

Proxify; Italia; Remote; EUR 90,000 - 120,000; Full time

Benefits offered by this job

On-time payments

8-hour workdays

Up to 24 flex days off

Job summary

Proxify is seeking a Senior Python AI Engineer to design and build backend systems and APIs for AI-powered applications. You will work on scalable services, chatbots, and copilots, leveraging DL frameworks and LLMs to deliver data-driven products across platforms.

You will collaborate with data scientists, product teams, and frontend engineers, ensuring performance, security, and cost efficiency in production environments. This is a fully remote role with CET +/- 3 hours alignment.

Qualifications

• Proficient in Python with 5+ years of hands-on experience.
• Experience designing scalable backend systems and APIs for AI-driven apps.
• Strong knowledge of DL frameworks and LLMs, with practical deployment experience.

Responsibilities

• Design and develop backend systems and APIs for AI-powered applications.
• Build and optimize LLM-based workflows, including chatbots and copilots.
• Implement RAG architectures using vector databases and document pipelines.
• Integrate and orchestrate cloud-hosted foundation models (AWS Bedrock, OpenAI, etc.).
• Collaborate with data scientists, product managers, and frontend developers.
• Ensure performance, scalability, and cost optimization in production.

Skills

Python 5+ yrs

Deep learning

LLMs & APIs

RESTful APIs

Docker & K8s

Cloud platforms

English fluency

Tools

PyTorch

TensorFlow

FastAPI

Streamlit

Gradio

Job description

Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction.

Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives.

Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.

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.
• Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones.

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

No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.

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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Hand-picked opportunities just for you

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One seamless process, multiple opportunities

A one-time contracting process for endless opportunities, with no extra assessments.

Compensation

Enjoy the same pay, every month with positions landed through Proxify.