Mid-Level AI Software Engineer | Hybrid São Paulo

Indicium AI

São Paulo

Presencial

BRL 120 000 - 180 000

Tempo integral

Agora mesmo

Torna-te num dos primeiros candidatos

Gerador de candidaturas

Uma candidatura feita para esta oferta — um currículo e uma carta de apresentação personalizados que vão ao encontro do anúncio.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Annual bonus (performance-based)

Remote work and flexible hours

Birthday day off

Wellhub (Gympass)

Resumo da oferta

Indicium AI seeks a Mid-Level AI Software Engineer to autonomously develop medium-complexity features and integrate AI into product workflows.

You will collaborate with Data and AI Engineering teams to deliver robust, production-grade solutions with a strong emphasis on code quality and test coverage.

Qualificações

Solid experience in full-stack development for production-grade projects.
Proficiency with back-end languages (Python, Node.js, Java, Go) and modern front-end (TypeScript + React/Vue/Angular).
Experience integrating LLMs in real-world apps and using RAG strategies.

Responsabilidades

Develop and deliver full-stack features of medium complexity autonomously.
Participate in architectural discussions and propose technical solutions.
Design, implement, and optimize LLM API integrations (OpenAI, Anthropic Claude, Google Gemini).
Apply prompt engineering and RAG techniques to product features.
Monitor production apps and resolve incidents; maintain code quality and tests.

Conhecimentos

Full-stack development

Python

Node.js

TypeScript

React/Vue/Angular

CI/CD

Docker

Cloud services

Kubernetes

LLM integration

Prompt engineering

RAG

Formação académica

Degree in IT, Information Systems, Computer Science, Software Engineering, or a related field

Ferramentas

Docker

Kubernetes

AWS

GCP

Azure

Datadog

Grafana

Descrição da oferta de emprego

Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global, AI-native consultancy with deep expertise across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing - guiding organizations from strategy through build to measurable business outcomes. With 600+ AI experts, 50+ enterprise clients, and five global locations, we work side-by-side with the world's leading AI partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed, clarity, and lasting impact.

As a global company, we offer career opportunities across Europe and the Americas and are looking for talent eager to grow globally with our team. Please indicate in your application if you are available to work abroad and if you hold a European passport.

About the Opportunity

The Mid-Level AI Software Engineer is responsible for the autonomous development of medium-complexity features and solutions, contributing actively to technical decision-making and code quality. You will have the ability to integrate AI into product workflows with minimal supervision, possessing a deep understanding of the impact of your architectural choices. You will act as a key bridge between business requirements and technical implementation, collaborating closely with Data and AI Engineering teams to deliver robust, production-grade solutions.

Key Responsibilities

Develop and deliver full-stack features of medium complexity autonomously.
Participate actively in architectural discussions and propose well-founded technical solutions.
Conduct code reviews, providing constructive feedback to peers and contributing to the team's overall technical growth.
Design, implement, and optimize integrations with LLM provider APIs (e.g., OpenAI, Anthropic Claude, Google Gemini).
Apply prompt engineering and RAG (Retrieval-Augmented Generation) techniques to product features.
Model and optimize relational and NoSQL databases for mid-scale solutions.
Implement CI/CD pipelines and contribute to the team’s DevOps culture.
Ensure high-quality deliverables through automated testing (unit, integration, and E2E).
Document technical decisions and implemented architectures.
Collaborate with Product, Data, and AI Engineering teams to define and execute solutions.
Identify and propose improvements to development processes and software quality.
Monitor applications in production, proactively identifying and resolving incidents.
Maintain the codebase with high standards, applying design principles with discernment regarding maintainability and scalability.

Preferred Qualifications & Experience

Solid experience in full-stack development within production-grade projects.
Proficiency in back-end programming languages (Python, Node.js, Java, Go, etc.) paired with TypeScript and modern front-end frameworks (React, Vue, or Angular).
Ability to write maintainable, testable code autonomously, justifying design decisions based on trade-offs involving readability, coupling, and maintenance costs.
Proven experience in refactoring and evolving legacy code safely, supported by robust test suites.
Experience integrating LLMs into real-world applications (OpenAI, Anthropic Claude, Google Gemini, etc.).
Experience with prompt engineering and RAG applied to product contexts.
Intermediate knowledge of relational and NoSQL database modeling and optimization.
Experience with Docker and basic container orchestration.
Experience with cloud services (AWS, GCP, or Azure) in a professional capacity.
Experience with CI/CD and deployment pipeline automation.

Nice to haves

Public cloud certification (AWS, Azure, GCP) at the Foundational/Associate level or equivalent.
Experience with Kubernetes.
Knowledge of MLOps and model lifecycle management.
Experience with event-driven architectures (Kafka, SQS, etc.).
Knowledge of security practices for AI applications (e.g., prompt injection prevention, guardrails).
Experience with monitoring and observability tools (Datadog, Grafana, etc.).
Degree in IT, Information Systems, Computer Science, Software Engineering, or a related field.

Why Indicium AI

Work on AI projects that actually transform the world's largest enterprises
Use cutting-edge AI tools and technologies every single day
Collaborate with global teams on high-impact, real-world solutions
Be backed by a supportive team that's genuinely in your corner
Benefit from serious investment in your learning and career growth
Earn competitive compensation and benefits
Enjoy company events and gatherings that bring the global team together
Join a fast-growing company where ambitious careers thrive

Selection Process Stages

Interview with Talent Acquisition
Technical Challenge
Interview with Technical Management
Evidence Storage

As part of our commitment to Information Security and in compliance with the requirements of the ISO 27001 standard (item 7.2, clause d), we would like to inform you that in future stages of the selection process, you will be required to provide proof of the skills and qualifications mentioned in your resume (such as diplomas and certificates). This verification is mandatory and essential to ensure compliance with our governance standards prior to hiring.

Some of the benefits offered by Indicium:

Our Culture

Modern, transparent, and inclusive management.
Dynamic environment, open to innovation and creativity.
Autonomy and engagement.
Light and relaxed atmosphere with a focus on challenges.
High-growth environment (Fast-paced scaling).
Remote work and flexible hours.

For Your Professional Development

Structured career path.
Feedback and growth culture (45/90-day onboarding reviews and semi-annual performance cycles).
Mentorship Program for dedicated support during onboarding.
Experienced and collaborative team.
High-impact projects.
Agile methodologies and cross-functional teams.
Free weekly English conversation classes.
Certification Program (full financial support and performance rewards).
Tutoring opportunities at Indicium Academy.
Internal initiatives such as "Tech Tracks" and "Databloggers."

For Your Health and Wellbeing