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. 🙂

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:

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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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Compensation

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