AI/ML Engineer
About the opportunity
Avenue Code is the leading software consultancy focused on delivering end-to-end development solutions for digital transformation across every vertical. We’re privately held, profitable, and have been on a solid growth trajectory since day one. We care deeply about our clients, our partners, and our people. We prefer the word ‘partner’ over ‘vendor’, and our investment in professional relationships is a reflection of that philosophy. We pride ourselves on our technical acumen, our collaborative problem-solving ability, and the warm professionalism of our teams.
Avenue Code has been believing in and promoting plurality actions for over 10 years, understanding that recognizing differences and fostering a safe environment, employment opportunities, representation, and support are the best ways to promote an increasingly equitable culture.
We are looking for a Senior AI/ML Engineer to design and build intelligent AI Agents that power real-world automation and decision-making. You will work at the intersection of modern LLM tooling and cloud-native infrastructure, leveraging Google Cloud Platform — including Gemini — to deliver robust, production-grade agent systems.
Responsibilities
- Architect, develop, and deploy AI Agents for complex automation workflows
- Integrate LLM-based solutions using Gemini and other GCP AI services
- Build and maintain backend services in Java and Python that support agent pipelines
- Collaborate with cross-functional teams to define agent capabilities and success metrics
- Design scalable, reliable, and observable AI systems on GCP
- Evaluate new models, frameworks, and tools to keep the stack at the cutting edge
Must-have skills
- Experience in AI/ML engineering or software engineering with a strong ML focus
- Hands-on experience building AI Agents (LLM-powered, multi-step, tool-using)
- Proficiency in Python for ML/AI development and Java for backend services
- Solid experience with Google Cloud Platform — especially Vertex AI and Gemini
- Familiarity with agent frameworks (e.g. LangChain, LangGraph, Semantic Kernel, or similar)
- Strong understanding of prompt engineering, RAG pipelines, and model evaluation
- Experience with cloud-native practices: CI/CD, containerization, and infrastructure-as-code on GCP
Nice-to-have skills
Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the AI/R Group to which Avenue Code’s consultants are allocated to perform its services.