Senior Python AI Engineer

Proxify; Town of Italy (NY); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

On-time monthly payments

24 flex days off per year

Career-accelerating positions

Job summary

Proxify is seeking a Senior Python AI Engineer to design and develop backend systems and APIs for AI applications. You will collaborate with cross-functional teams to create scalable solutions. Candidates should have over 5 years of Python experience, be skilled in deep learning frameworks, and have a solid grasp of RESTful API design. Proxify offers flexible work hours, the possibility for 24 days off per year, and ensures on-time payments for projects. Join a supportive global network of developers and help shape the future of data-driven products.

Qualifications

• Strong proficiency in Python with modern frameworks.
• Experience with deep learning frameworks for custom modeling.
• Solid experience designing RESTful APIs and microservice architectures.

Responsibilities

• Design and develop backend systems and APIs for AI-powered applications.
• Build LLM-based workflows, including chatbots and automation tools.
• Collaborate with data scientists and product managers to deliver AI products.

Skills

Python proficiency (5+ years)

Deep learning frameworks (PyTorch, TensorFlow)

Large language models (LLMs) experience

RESTful APIs design

Containerization (Docker, Kubernetes)

Version control (Git)

Cloud platforms familiarity (AWS, Azure, GCP)

Technical communication skills

Tools

FastAPI

Flask

Django

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.

Career-accelerating positions at cutting-edge companies

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Hand-picked opportunities just for you

Skip the typical recruitment roadblocks and biases with personally matched positions.

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.