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 differeld the interfaces and services that surface, validate, and resolve issues in data coming from the data lake, ETL pipelines, health-check logic, or model outputs — without necessarily owning pipeline architecture.
Package and manage applications using Docker.
Use AI-assisted development tools (e.g., Claude Code) to move fast during implementation — while critically evaluating AI-generated output and pushing back when it isn't the right long‐term solution.
Drive conversations directly with engineers to clarify both functional and non‐functional requirements, rather than defaulting to whatever "just works" in the short term.
Work daily alongside engineers over Slack and Google Meet.
MUST HAVES
5–7 years of full‐stack software development experience.
Strong proficiency in Python (FastAPI or Flask) and TypeScript/React.
Solid understanding of relational databases (PostgreSQL) and database migrations.
Comfortable with REST APIs; able to work with and migrate away from legacy GraphQL where needed.
Demonstrated experience building or maintaining data‐heavy applications (large datasets, performance‐sensitive queries at the application layer).
Practical,



hands‐on use of AI‐assisted development tools, paired with the critical judgment to challenge AI output when it compromises long‐term maintainability.
High comfort level working entirely in a Mac/Linux terminal environment (Bash, Makefiles).
Strong soft skills (mandatory, not a bonus): the ability to hold and defend a technical opinion — challenging a stakeholder's or a tool's proposed "quick fix" with sound reasoning in pursuit of a solution that scales and is maintainable long‐term, while still being pragmatic enough to ship.
Comfort with ambiguity (mandatory): work is frequently ad‐hoc and underspecified.
This role requires defining the problem — gathering context, identifying constraints, and framing the work — before solving it, rather than waiting for a specification.
Experience limited to well‐specified work executed through agent workflows is not a fit.
NICE TO HAVES
Exposure to object‐storage‐backed data lakes and serverless query engines (S3 + Athena, or comparable — Trino/Presto, BigQuery, Spark SQL).
Familiarity with DAG‐based task orchestration (Airflow, Dagster, Prefect, Step Functions), or the ability to pick it up quickly.
Data engineering exposure — experience building or maintaining ETL pipelines, advanced SQL (complex queries, data validation, optimization).
Caching/NoSQL systems (Redis, DynamoDB).
Monorepo tooling or modern package managers (Nx, Poetry, UV).
Familiarity with AWS Bedrock or similar AI/LLM SDKs.
Experience with marketing data structures, campaign management APIs, or digital advertising metrics.
PERKS AND BENEFITS
Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
Meaningful, modern projects:



build impactful products using modern technologies alongside general teams and leading brands
Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
Well‐being & support: access local well‐being programs and people‐focused support tailored to your location
Disclaimer – Must read: Commitment & Focus
This role requires full‐time dedication, with clear priority given to Darwoft projects during the established working hours.
It is not compatible with other full‐time professional engagements.
Any additional professional activities must be disclosed in advance and must not interfere with the responsibilities or working hours of this role.
Darwoft is a software factory delivering custom software solutions and IT staff augmentation services to international clients, primarily in the United States and engineering quality.
We're looking for someone who sees 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:
#J-*****-Ljbffr

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