Senior Python AI Engineer

Proxify; Portugal; Presencial; EUR 50 000 - 80 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible withdrawal options

Up to 24 flex days off

Consistent 8-hour working days

Career-accelerating positions

Resumo da oferta

A tech recruiting company is seeking a Senior Python AI Engineer to design and develop backend systems for AI-powered applications. The ideal candidate has over 5 years of experience in Python and deep learning frameworks. Responsibilities include building LLM-based workflows, collaborating with cross-functional teams, and ensuring high performance of AI solutions. Benefits include flexible work hours, remote positions, and a supportive company culture.

Qualificações

• 5+ years of experience in Python with modern frameworks.
• Hands-on experience with LLMs & APIs like OpenAI and Anthropic.
• Strong problem-solving skills for complex challenges.

Responsabilidades

• Design and develop backend systems for AI applications.
• Build and optimize LLM workflows, including chatbots.
• Integrate cloud-hosted foundation models.

Conhecimentos

Python proficiency

Deep learning frameworks (PyTorch, TensorFlow)

Large language models (GPT, Gemini, LLaMA)

RESTful APIs design

Containerization (Docker, Kubernetes)

Cloud platforms (AWS, Azure, GCP)

Intermediate-advanced English

Ferramentas

Vector databases (Pinecone, Weaviate, etc.)

Prototyping tools (Streamlit, Gradio)

Descrição da oferta de emprego

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.

Benefits

• 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.