Description: Join our team and be part of the leading Business Intelligence company in Latam!
BNamericas is the main business intelligence platform focused on Latin America. Through our SaaS model we deliver news, data and strategic analysis in key sectors such as energy, mining, infrastructure, telecommunications and financial services. We are strengthening our commercial team and are looking for a highly disciplined and results-oriented SDR to support the generation of new business opportunities. We are looking for a profile with a modern mindset and oriented towards efficiency, capable of using artificial intelligence tools to optimize prospecting, personalize messages and improve their commercial productivity.
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 modeling 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 doesn't help and where it'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.
Claude Code as a daily tool, Git branch flow, Jira
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 it trustworthy.
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 s
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