Senior Full-Stack Engineer AI Native

Business News Americas, Ltda.; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

BNamericas is rebuilding its internal platform with AI at the core. As a senior engineer, you will own features end to end—from schema to interface—turning expert know-how into scalable product capabilities for the team.

You will work on data collection, validation, and publication workflows, and build APIs and AI-driven pipelines that connect to other systems. You will drive frontend work alongside backend systems, ensuring reliable production on AWS, with robust migrations and data modeling.

Qualifications

• 8+ years building and operating production web applications end to end, backend-weighted, with a track record of owning systems rather than tickets.
• Strong Python in production. FastAPI is what we use; Django, Flask or similar is fine if you can move across.
• Solid relational data modelling and migrations against live data.
• Real frontend experience, and the ability to ship usable UI without a design team.
• Hands-on experience getting LLM-backed systems into production: agent or graph orchestration, RAG, prompt and context design, and evaluating model output rather than trusting it.
• Fluent daily use of Claude Code or an equivalent agentic coding tool, with a clear view of where it helps and where it doesn't.
• Production experience on a major cloud. We are on AWS: containers, background jobs, secrets, logs, and debugging things that only break in prod.
• Autonomy. You'll get context and a goal, not a decomposed backlog.
• Documentation creation that let someone else pick the work up.
• Professional English
• Connection during LATAM (Chile) Business hours

Responsibilities

• Own features end to end from schema to interface.
• Turn expert knowledge into scalable internal platform capabilities.
• Maintain data collection, validation, and publication workflows.
• Build APIs and integrations connecting the platform to other systems.
• Develop AI-driven data pipelines and multi-agent extraction.

Skills

Autonomy

Professional English

Frontend experience

System ownership

Tools

Python

FastAPI

Django/Flask

SQLAlchemy

PostgreSQL

AWS

Docker

Terraform

Claude Code

LangGraph

Job description

BNamericas operates the leading business intelligence platform for Latin America’s infrastructure, mining, and energy projects. At the core of everything we publish is a research operation supported by large-scale internal systems: continuous data collection from public and private sources, validation by our team, and delivery into content production for publication. We are rebuilding this platform end-to-end, and AI is embedded across the workflow—so the product is not an add-on, but part of the system’s foundation. As a senior engineer, you’ll help turn expert know-how into resilient product capabilities the team can scale.

The role

Behind BNamericas is an internal platform that continuously collects data from hundreds of public and private sources, routes it to our research team for verification, and moves it through to publication.

We are rebuilding that platform with AI at its core. You'll own features end to end, from schema to interface, and help turn knowledge held by a few people into a system the whole team can carry. Small team, no ticket factory, and real internal users on what you ship within days.

Product and platform

• Forms and validation: rich, API-integrated data entry for structured content, and the validation rules that keep ittrustworthy.
• Workflow: task assignment, draft to review to publish state machines, and admin tooling that lets the businesschange the rules without a deploy.
• Dashboards and reporting: progress, throughput, and quality visibility for team leads and leadership.
• APIs and integrations: the services connecting this platform to the rest of our systems.
• Auth and access control: roles and permissions across an internal product used by several teams.
• The data layer: schema design, migrations against live data, and keeping queries fast as volume grows.

AI systems

• Multi-agent extraction pipelines: agent graphs that collect, extract and reconcile data from public sources atscale, including retrieval, prompt and context design, model selection, rate limiting and cost.
• Human-in-the-loop review tooling: interfaces where a reviewer sees what the AI proposed, the alternatives itrejected, the evidence behind each, and can override the machine with a justification that gets recorded and kept.
• Audit and provenance: append-only decision trails, so every value can be traced back to a source and to whoeveraccepted it.
• Data-quality gating: the checks between what a model produces and what reaches a customer, so nothing AI originated lands unchecked.
• Source onboarding: new collectors and per-source parsers, the business rules that go with them, and the admin tooling behind them.

Requirements

• 8+ years building and operating production web applications end to end, backend-weighted, with a track record of owning systems rather than tickets.
• Strong Python in production. FastAPI is what we use; Django, Flask or similar is fine if you can move across.
• Solid relational data modelling and migrations against live data.
• Real frontend experience, and the ability to ship usable UI without a design team. Whichever framework you come from, what matters is that you work comfortably on both sides of the line.
• Hands-on experience getting LLM-backed systems into production: agent or graph orchestration, RAG, prompt and context design, and evaluating model output rather than trusting it.
• Fluent daily use of Claude Code or an equivalent agentic coding tool, with a clear view of where it helps and where it doesn't.
• Production experience on a major cloud. We are on AWS: containers, background jobs, secrets, logs, and debugging things that only break in prod.
• Autonomy. You'll get context and a goal, not a decomposed backlog.
• Documentation creation that let someone else pick the work up.
• Professional English
• Connection during LATAM (Chile) Business hours

Stack

Layer

Technologies

Backend

Python, FastAPI, SQLAlchemy, PostgreSQL (incl. JSONB), schema migrations

Frontend

Server-rendered Python templates, lightweight JavaScript, Tailwind CSS

AI / agents

LangGraph multi-agent pipeline, Gemini and Claude, grounded search (serper.dev), Jina extraction, Pinecone for PDF RAG, vision-model OCR

Infra

AWS: ECS services and tasks, S3, Secrets Manager, CloudWatch, RDS. Docker, Terraform

Ways of working

Claude Code as a daily tool, Git branch flow, Jira

Desirable

• Large-scale scraping or data-extraction pipelines, including third-party scraping platforms.
• Data reconciliation, data quality, or human-in-the-loop review tooling.
• Infrastructure as code.
• Data-heavy B2B products: market intelligence, research or finance.
• Mobile app development, particularly an app you built with Claude or similar AI tooling carrying a real part of the work.
• Spanish or Portuguese at Intermediate Level

Context

At BNamericas we promote inclusive selection processes and are committed to equal opportunities. This job offer is framed within Chilean Law No. 21.015, which encourages the inclusion of people with disabilities in the workforce. If you require any reasonable accommodation to participate in the process, please let us know.