Senior Python Software Engineer (AI)

Pyyne; Guarulhos; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A modern technology consultancy in Brazil is seeking a Senior Software Engineer with expertise in Python and experience in AI development. This role involves designing scalable applications on AWS or GCP, implementing AI systems, and collaborating with stakeholders. Ideal candidates will have a strong background in Python and AI solutions. The position offers a salary range of $3,443 - $4,120 and a flexible remote working environment.

Serviços

Salary Range from 3,443 - 4,120 USD / mo

Flexible remote working environment

Career development opportunities

Qualificações

• 3+ years of professional experience in Python for robust APIs and data-driven applications.
• Track record of deploying scalable applications on AWS or GCP.
• Experience building AI-powered features or applications.

Responsabilidades

• Design and deploy scalable applications supporting AI products.
• Implement optimized AI systems to solve client problems.
• Prototype with cutting-edge LLM-based solutions.

Conhecimentos

Expert-Level Python

Production Cloud Experience

Hands-On AI Experience

Engineering Excellence

Ferramentas

AWS

GCP

Docker

Kubernetes

Descrição da oferta de emprego

About Pyyne Pyyne is a modern technology consultancy engineering the next generation of digital products and services.

At Pyyne, we believe in using technology to unlock business potential, create sustainable growth, and drive forward digital excellence. Our solutions range from advanced Software Engineering, Cloud, and Data & AI solutions.

Job Summary

Pyyne is seeking a Senior Software Engineer, skilled in Python and with experience developing solutions with LLMs to work as a Consultant out of our Brazilian Office. This is a high-impact role for Pyyne as we scale up our AI Services and onboard new and exciting clients in this sector.

A successful candidate in this role will be self‑motivated and responsible for the full product lifecycle, from architecting scalable systems to rapid prototyping and experimentation. If you are passionate about building robust, high‑quality systems and want to make a significant impact on an innovative product, this role is for you.

Key Responsibilities

• Architect & Build: Design, develop, and deploy scalable, production‑grade applications on AWS or GCP that serve as the backbone for our AI‑powered products.
• Develop AI Solutions: Implement and optimize sophisticated AI systems, including Retrieval‑Augmented Generation (RAG) and AI agents, to solve complex client problems.
• Innovate & Experiment: Rapidly prototype and experiment with cutting‑edge LLM‑based solutions, including prompt engineering, agentic workflows, and tool integration.
• Champion Code Quality: Take ownership of the development lifecycle and champion best practices for writing clean, well‑tested, and maintainable code.
• Collaborate & Lead: Work closely with product, data, and business stakeholders to shape the AI product roadmap and provide technical leadership.

Must Have Skills

• Expert‑Level Python: 3+ years of professional experience with deep, demonstrated expertise in Python and its ecosystem for building robust APIs and data‑driven applications.
• Production Cloud Experience: A proven track record of designing, building, and deploying scalable, production‑grade applications on AWS or GCP. Comfortable with core services like Lambda / Cloud Functions, S3 / Cloud Storage, EC2 / Compute Engine, etc.
• Hands‑On AI Experience: Built and shipped at least one AI‑powered feature or application, demonstrating your ability to translate AI concepts into real‑world solutions.
• Engineering Excellence: You are a self‑starter who takes ownership, writes high‑quality, maintainable code, and has a keen eye for detail.

Nice to Have Skills

• Applied AI Development: Hands‑on experience developing solutions with LLMs (e.g., via OpenAI, Anthropic, Cohere APIs) and / or agentic frameworks (e.g., LangChain, LlamaIndex, Google ADK).
• AI Infrastructure: Familiarity with services like AWS Bedrock or Google Vertex AI.
• Vector Databases: Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS) and semantic search concepts.
• Modern DevOps: Experience with CI / CD pipelines and containerization (e.g., Docker, Kubernetes).

Benefits

• Salary Range from 3,443 - 4,120 USD / mo
• Flexible remote working environment.
• Career development opportunities in a fast‑growing company.