Full-Stack Engineer — Ai Training Simulator For Posh (Buenos Aires)

Full-Stack Engineer — Ai Training Simulator For Posh (Buenos Aires)

28 oct
|
Accenture Argentina
|
Buenos Aires

28 oct

Accenture Argentina

Buenos Aires

About the Company:
Posh AI is an AI-powered training platform that uses realistic voice and chat simulations to help employees practice real-world customer and workplace scenarios.
The platform provides instant AI feedback, performance scoring, and analytics to improve skills, confidence, and readiness.
About The Role:
We're looking for a full-stack engineer to join the team building Posh AI Simulator, a B2B platform that lets learners practice real-world conversations with AI-powered avatars via text chat and live voice.
The platform serves financial services companies and L&D; teams who need scalable, measurable role-play training — onboarding, compliance practice, and coaching at scale.
You'll work across the entire stack: a React SPA, a Supabase Postgres backend with 50+ Deno edge functions, and deep integrations with large language models, Auth0, and enterprise LMS standards.
What You'll Work On
Building and iterating on learner-facing simulation experiences (chat and real-time voice) and the admin/content-creation studio
Designing and maintaining Postgres schemas, RLS policies, and RPCs for a multi-tenant data model
Writing Deno edge functions that orchestrate LLM calls — chat, voice sessions, evaluation, document parsing, insight generation
Integrating with enterprise learning systems via xAPI and LTI 1.3
Shipping analytics and insights features that help team leads understand learner performance
Maintaining a clean, type-safe TypeScript codebase with strong test coverage using Vitest and React Testing Library
Tech Stack
Frontend: React 18,



TypeScript, Vite, React Query, Zustand, Tailwind CSS, shadcn/ui
Backend: Supabase (Postgres, Auth, Storage, Edge Functions), Deno, Row-Level Security
AI: LLMs for chat, real-time voice (WebRTC), embeddings, and tool calling
Auth: Supabase Auth, Auth0 enterprise SSO
LMS: xAPI, LTI 1.3, HMAC-sign-Market (GTM), or Sales Operations (e.g., Sales Pipeline Analysis, Operations, and ADM Staff Management).
Experience in Process Design, Mapping, and continuous improvement.
Experience working in or alongside multidisciplinary teams embedded in client environments to deliver end-to-end workflow transformation, including OpenAI Forward Deployed Engineering (FDE) environments.
Familiarity with MLOps / LLMOps (model deployment, monitoring, and AI lifecycle management).
Knowledge of Cloud Data Platforms such as Snowflake and Databricks.
Understanding of international regulatory frameworks and compliance standards (IFRS, US GAAP, SOX, GDPR, PCI-DSS, NIST).
Knowledge of Agile methodologies (Scrum, Jira, Jira Align).
Experience in Change Management and Value Realization Office (VRO).
KEY COMPETENCIES AND SKILLS:




Proven ability to analyze complex business challenges in tech environments and formulate structured, data-driven solutions.
Strong project management and PMO capabilities, with the ability to coordinate multiple workstreams, deliverables, and stakeholders.
Ability to translate business needs and strategic objectives into concrete process improvements, roadmaps, and execution plans.
Strong analytical mindset with advanced knowledge of business intelligence, reporting, and data visualization.
Solid understanding of financial metrics and business performance indicators.
Excellent written, oral, and presentation skills in English.
Strong collaborative spirit and ability to work effectively with distributed, general delivery teams.
Growth mindset and adaptability to new technologies, data-driven ways of working, and emerging AI capabilities.
AT ACCENTURE, EQUALITY DRIVES INNOVATION
Did you know that Accenture was chosen as the most diverse and inclusive company in the world?
We believe that the workforce of the future is an equal workforce for everyone.
All decisions related to the recruitment and selection process will be made without any distinction, exclusion, or preference based on race, color, gender, sexual orientation, disability, age, religion, political or union opinion, nationality, socioeconomic background, or any other characteristic protected under applicable law, that could result in the nullification or impairment of equal opportunity or treatment among candidates.
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📌 Full-Stack Engineer — Ai Training Simulator For Posh (Buenos Aires)
🏢 Accenture Argentina
📍 Buenos Aires

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