AI Engineer

🕒 April 22

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BotCity

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

SaaS • Enterprise • Artificial Intelligence

BotCity is a software platform that enables enterprises to build, orchestrate, govern, and scale automation based on code (notably Python) and computer vision. It provides a cloud orchestrator, developer tooling, session and infrastructure management, security and compliance features, and integrations with major cloud and office platforms to centralize governance and reduce risks from unmanaged scripts (Shadow Python). BotCity targets enterprise IT and automation teams, offering SaaS delivery, orchestration, observability (KPIs/insights), and support for deploying automations across VMs, containers and serverless environments.

📋 Description

• Design, develop, and ship AI-powered features into BotCity's product, owning the full technical lifecycle from scoping to deployment and monitoring. • Build production-ready AI components with proper engineering standards: clean code, testing, versioning, observability, and integration into existing infrastructure. • Establish AI engineering practices for the team — evaluation frameworks, monitoring approaches, deployment patterns — that will scale as the AI footprint grows. • Collaborate closely with product and engineering to identify where AI creates the most meaningful user value and translate those opportunities into technical proposals. • Define and monitor technical health metrics for AI components in production, proactively identifying and resolving reliability or quality issues. • Stay current with relevant AI research and tooling developments and proactively propose how new techniques can be applied to BotCity's product. • Contribute to code reviews and technical discussions, helping elevate the engineering team's understanding of AI capabilities and limitations. • Document AI components and decisions clearly to enable knowledge sharing and future maintainability.

🎯 Requirements

• Master's degree or equivalent graduate-level education in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a closely related field. • Proven, hands-on command (3+ years) of machine learning and AI engineering concepts. • Prior experience integrating AI into a commercial software product (not standalone ML models). • Strong software engineering fundamentals including but not limited to clean code, version control (Git), testing, CI/CD, and the ability to build maintainable, production-ready systems. • Advanced Python proficiency. • Hands-on experience with at least one major AI/ML framework or ecosystem (e.g., LangChain, LlamaIndex, HuggingFace, PyTorch, TensorFlow), including familiarity with AI agent frameworks and orchestration patterns, applied in a real project or production context. • Deep, production-tested experience building Retrieval-Augmented Generation systems. • Experience building and maintaining Model Context Protocol server infrastructure. • Experience deploying AI models or components to production — including monitoring, versioning, and infrastructure basics (Docker, cloud platforms such as GCP or AWS). • Demonstrable project work — GitHub repositories, published models, academic research, or shipped product features — that evidences AI domain mastery independent of years of professional experience. • Experience with version control system tools such as Git and GitHub, CI/CD. • Experience with Docker, Docker Compose and building multi-stage container images. • Experience with at least one Vector Database (e.g. Pinecone, Weaviate, pgvector, MongoDB Atlas Vector, etc). • Experience working with Atlassian Jira, MS Office/Excel, Google Suite, Notion. • Ability to travel as needed to support events and meet the team. • Portuguese - Fluent. • English - Advanced.

🏖️ Benefits

• Global remote work environment • Opportunity for professional development and growth