Senior Python AI Engineer

Headquarters: Sweden

URL: http://career.proxify.io (link removed)

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.
 

To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-python-ai-engineer-4 (link removed)