Senior/Staff Software Engineer (AI-Native/Claude Code/Codex) · LATAM
Location: Anywhere in LATAM
Job Type: 100% Remote
Engagement: Full-time Contractor
Payment: USD
Project: AI-Native LegalTech / M&A; SaaS Platform
Seniority: Senior / Staff
English Level: B2 / C1
Get to Know Darwoft
At Darwoft, we build digital products with heart.
We're a Latin American technology company focused on creating impactful, human-centered software in partnership with companies around the globe.
Our remote-first culture is built on trust, continuous learning, collaboration, and strong engineering standards.
We work with international teams solving complex product and technology challenges where our engineers can have a direct impact on the product.
If you're looking for a place where your technical judgment matters and where you can contribute beyond simply executing tickets, welcome to Darwoft.
About the Opportunity
We're partnering with an innovative software company building a modern transaction platform for organizations managing complex M&A; processes.
The platform brings together document workflows, collaboration, approvals, diligence, transaction management, and AI-powered capabilities within a single SaaS product.
What makes this opportunity particularly different is the way the engineering team builds software.
The pconfer an acquired right.
Google is proud to be an equal opportunity workplace and is an affirmative action employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: Senior Cloud AI Engineer, Google Cloud (English) Share Senior Cloud AI Engineer, Google Cloud (English) _corporate_fare_ Google _place_ Mexico City, CDMX, Mexico; Buenos Aires, Argentina ***Mid*** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Share Senior Cloud AI Engineer, Google Cloud (English) _info_outline_ XPlease submit your resume in English - we can only consider applications submitted in this language.
for Mexican applicants: Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.
In most instances, this position requires in‐person interviews as part of the hiring process.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: ***Mexico City, CDMX, Mexico; Buenos Aires, Argentina*** .
***Minimum qualifications:*** + Bachelor's degree in Computer Science, related field, or equivalent practical experience.
+ 6 years of experience in software engineering, cloud architecture, or technical consulting, including 6 years of experience deploying production Generative AI (GenAI) applications.
+ Experience in Python and cloud computing principles (serverless, virtualization, secure networking).
+ Experience building and orchestrating agents using Agent Development Kits (ADKs) or frameworks (LangChain, LlamaIndex, AutoGen).
+ Ability to communicate in English fluently to communicate with integral teams.
***Preferred qualifications:*** + Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
+ Relevant Google Cloud certifications, such as Professional Cloud Architect or Professional Machine Learning Engineer.
+ Experience deploying enterprise GenAI platforms (Gemini Enterprise), with deep understanding of AI security, governance, and compliance standards.
+ Experience leveraging Large Language Model (LLMs) to deploy enterprise‐scale multimodal solutions across text, image, video, and audio.
+ Advanced experience implementing scalable RAG architectures connected to external productivity tools and enterprise databases.
+ Proven track record leading technical project deployments and engineering teams on large cloud transformations.
***About the job*** The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive.
We help customers transform and evolve their business through the use of Google's global network, web‐scale data centers, and software infrastructure.
As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI.
You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers.
Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.
In this role, you will be the Google Engineer working with Google's largest AI as a core engineering tool , while still bringing the technical judgment required to make strong software and architectural decisions.
Nice to Have
Experience working in early-stage or high-growth product companies .
Previous experience as a Staff Engineer, Principal Engineer, Tech Lead, Founding Engineer, or similar high-ownership role .
Experience building AI-powered SaaS products.
Experience integrating LLMs or AI APIs into production applications.
Experience with document-heavy or workflow-intensive platforms.
Experience designing authorization systems, permissions, RBAC, and auditability.
Experience with LegalTech, FinTech, transaction platforms, Private Equity, or other complex B2B SaaS products.
Experience improving engineering productivity through developer tooling and automation.
What Success Looks Like
Success in this role goes beyond writing more code.
You'll help the team ship significantly faster while simultaneously strengthening the architecture, reliability, maintainability, and technical maturity of the platform .
The goal is to combine strong engineering judgment with AI-native development practices to dramatically increase what a small engineering team can build.
What Darwoft Offers
Contractor agreement with payment in USD
100% remote work
Argentina's public holidays
English classes
Referral program
Access to learning platforms
Explore this and other opportunities at:
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