Senior Python AI Engineer
Time zone: CET (+/- 3 hours)
python
llm
architecture
aws
Development
More jobs from this company
views: 0
Senior Python AI Engineer

About us:

 

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. šŸ™‚

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.
  • Strong backend development expertise, including databases (SQL/NoSQL).
  • 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:

 

  • LLM orchestration frameworks: LangChain, LangGraph, LlamaIndex.
  • Retrieval-Augmented Generation (RAG) pipeline design.
  • 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

Discover exclusive long-term remote positions at the world's most exciting companies.

 

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.

Senior Python AI Engineer
Time zone: CET (+/- 3 hours)
python
llm
architecture
aws
Development
More jobs from this company
views: 0

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