Senior Python AI Engineer

Remotely; Italia; Remoto; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading technology firm is seeking a Senior Python AI Engineer to design and develop backend systems and APIs for AI-powered applications. This role involves collaboration with cross-functional teams to optimize AI solutions. Ideal candidates should have 5+ years of Python experience and familiarity with deep learning frameworks and LLMs. The position is fully remote, allowing for a flexible work environment.

Servizi

Flexible withdrawal options

Consistent 8-hour working days

Up to 24 flex days off per year

Competenze

• 5+ years of strong proficiency in Python, including modern frameworks like FastAPI, Flask, or Django.
• Experience with large language models and deep learning frameworks.
• Hands-on with containerization and cloud platforms.

Mansioni

• Design and develop backend systems and APIs for AI-powered applications.
• Collaborate with teams to build and optimize LLM-based workflows.
• Ensure performance and scalability of AI solutions.

Conoscenze

Strong proficiency in Python (5+ years)

Deep learning frameworks (PyTorch, TensorFlow)

Experience with LLMs (GPT, Gemini, LLaMA)

RESTful APIs and microservice architectures

Strong backend development expertise

Containerization (Docker, ideally Kubernetes)

Cloud platforms (AWS, Azure, GCP)

Version control (Git)

Technical communication skills

Intermediate-advanced English level

Descrizione del lavoro

The Role:

We are looking for aSenior Python AI Engineerto 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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Flex days, so you can recharge

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