Proxify AB: Senior Python AI Engineer

Mosaec; Town of Sweden (NY); On-site; USD 136,767 - 205,151; Full time

Benefits offered by this job

On-time payments

8-hour workdays

Flex days

Job summary

Proxify is seeking a Senior Python AI Engineer to design and develop backend systems and APIs for AI-powered applications. You will build scalable LLM-based workflows, collaborate across data scientists, PMs, and frontend teams, and ensure performance and cost optimization in production environments.

The role requires 5+ years in Python, experience with DL frameworks, LLMs, and RAG pipelines, plus strong API design skills.

Qualifications

• 5+ years in Python software engineering, with backend focus.
• Experience designing and building scalable backend systems and APIs.
• Experience with AI/ML workflows, LLMs, and RAG pipelines.
• Proficient in modern Python frameworks and DL libraries.
• Strong understanding of RESTful APIs and microservice architecture.
• Familiarity with cloud platforms and security best practices.

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.
• Collaborate with data scientists, PMs, and frontend developers to deliver AI products.
• Ensure performance, scalability, and cost optimization in production.
• Monitor and improve deployed AI systems.

Skills

Python

Deep learning

LLMs

REST APIs

Backend development

Git & CI/CD

Docker

Kubernetes

Cloud platforms

Security best practices

English communication

Independent work

Tools

FastAPI

Flask

Django

PyTorch

TensorFlow

LangChain

LlamaIndex

Pinecone

Weaviate

Milvus

Job description

Headquarters: Sweden

URL: http://career.proxify.io

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.

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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.

To apply

https://weworkremotely.com/remote-jobs/proxify-ab-senior-python-ai-engineer-4

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