Senior Python Ai Engineer

Proxify; Lisboa; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Proxify is seeking a Senior Python AI Engineer to design and build scalable backend systems and APIs for AI-powered applications in Lisbon. You will work with cross-functional teams to shape data-driven products across platforms and ensure robust, secure, and efficient deployment.

The role requires deep Python expertise, hands-on ML tooling, experience with FastAPI/Flask/Django, and knowledge of vector databases, LLMs, and cloud services. CET time zone considerations apply.

Formación

• 5+ years of Python development with modern frameworks.
• Experience with FastAPI/Flask/Django in backend services.
• Hands-on with PyTorch or TensorFlow for ML models.
• Familiarity with LLMs such as GPT, Gemini, LLaMA.
• Prototyping tools: Streamlit, Gradio.
• RESTful APIs and microservices design.
• Git and CI/CD workflows experience.
• Docker and Kubernetes containerization experience.
• Cloud platforms (AWS/Azure/GCP) knowledge is a plus.
• Security practices for handling sensitive data.
• Strong problem solving and cross-team communication.
• Intermediate-advanced English; CET time zone constraints.

Responsabilidades

• Design and develop backend systems and APIs for AI-powered apps.
• 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 (Bedrock, OpenAI, etc).
• Collaborate with data scientists, PMs, and frontend developers end-to-end.
• Ensure performance, scalability and cost optimization in production.
• Monitor, evaluate and improve deployed AI systems.

Conocimientos

Python

Web Frameworks

LLMs

DL Frameworks

Vector Databases

Cloud Platforms

CI/CD

Docker

Kubernetes

Security

English

Herramientas

Streamlit

Gradio

Git

OpenAI API

AWS Bedrock

LoRA/QLoRA

Ragas/DeepEval

Descripción del empleo

Senior Python AI Engineer 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.

Qualifications

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.

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

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.

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 Lisbon, Portuguese Republic, PT