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Salary: BRL 249,000 - 409,000 / annual
Invisible Technologies is seeking a Software Engineer with strong full-stack development expertise, particularly in backend technologies and Agentic AI, to join the AI/ML team. The company builds an end-to-end AI platform that structures messy data, automates digital workflows, deploys agentic solutions, and integrates human expertise. Invisible is profitable, reached $134M in revenue, and ranked #2 fastest-growing AI company on the 2024 Inc. 5000 list.
In this role, you'll work at the intersection of engineering, data science, and real-world impact, partnering directly with clients and internal stakeholders to design and deploy ML-powered tools. You'll be part of the Forward Deployed Engineering team during a phase of rapid growth, focusing on scaling models and improving platform performance.
Key responsibilities include:
- Build robust, scalable backend systems that support machine learning operations and data processing pipelines
- Oversee and optimize cloud infrastructure for efficient deployment and operation of ML models
- Independently explore and address complex problem spaces to improve system capabilities and performance
- Work closely with ML engineers and data scientists to integrate advanced ML technologies
- Collaborate directly with Invisible's clients, embedded with client teams to support use case discovery, product development, and AI deployment
- Actively participate in research and development of new tools to enhance AI capabilities and workflows
The company operates at the intersection of advanced AI and human ingenuity, with a culture emphasizing ownership, bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, challenges are significant, and growth is substantial.
REQUIREMENTS:
- 2+ years of software engineering experience with strong focus on ML engineering and deploying machine learning models in production
- Extensive experience in full-stack development, particularly in backend environments supporting AI/ML workloads
- Prior experience working directly with clients in use case discovery, product development, and leading client engagements
- Strong proficiency in Python with deep expertise in LLMs, AI Agents, and ML model development
- Experience designing and deploying scalable ML systems, such as retrieval-augmented generation (RAG) pipelines and production-grade AI applications
- Extensive experience with cloud platforms (AWS, GCP, Azure) and operational best practices for ML workloads
- Familiarity with Kubernetes and other container management tools
- Ability to write well-structured, organized code and automated unit/E2E tests
- Comfortable with polyglot persistence models (SQL vs. NoSQL)
- Experience with MLOps frameworks and best practices; familiarity with DevOps principles as applied to machine learning models, including model versioning, monitoring, and lifecycle management
- Ability to operate independently in unstructured environments with proactive and investigative approach to tackling challenges
- Excellent communication skills with ability to collaborate effectively in dynamic, cross-functional teams including data scientists, researchers, and software engineers
