Senior Full Stack Engineer

Description

Job Summary: We are seeking a Senior Full Stack Engineer to design, develop, and maintain AI-powered full-stack applications, building modern interfaces and optimizing language model interaction pipelines. Key Highlights: 1. Design, develop, and maintain AI-oriented full-stack applications 2. Build modern, interactive interfaces for conversational experiences 3. Collaborate with data, product, and platform teams Job Description: ATTENTION ARGENTINA! We are recruiting a **Senior Full Stack Engineer** for **Accusys**, a leading software development and maintenance company.* Location: CABA (preferred) or REMOTE if residing outside the area. * Schedule: Full-time, Monday to Friday. Hybrid (3x2\) **Responsibilities:** * Design, develop, and maintain full-stack (frontend \+ backend) applications oriented toward AI-based products. * Build modern, interactive interfaces (React, Next.js, or similar) for conversational experiences and AI-assisted workflows. * Design architectures for LLM- and agent-based applications. * Build and optimize language model interaction pipelines (prompting, evaluation, observability, cost optimization). * Integrate language model APIs (OpenAI, Anthropic, Hugging Face, etc.) and cloud services. * Implement agent workflows and reasoning chains using frameworks such as LangGraph, LangChain, or equivalent. * Design and implement APIs (REST/GraphQL) connecting frontend with AI systems. * Develop scalable services using containers and modern deployment practices. * Collaborate with data, product, and platform teams to bring AI solutions into production. * Promote best practices in architecture, testing, CI/CD, and code quality. * Mentor junior team members. **Requirements:** * Solid full-stack development experience (Python \+ frontend frameworks such as React or similar). * Experience building APIs and scalable backend systems. * Experience working with language models, LangGraph, LangChain, or similar frameworks. * Strong understanding of UX in AI-driven applications (chat, copilots, AI-assisted workflows). * Experience with modern frameworks such as Next.js, Vercel, or serverless architectures. (Desirable) * Knowledge of LLM observability (tracing, evaluations, cost monitoring). (Desirable) * Experience with vector databases (Pinecone, Weaviate, etc.). (Desirable) * Familiarity with agent patterns, tool usage, and memory in AI systems. (Desirable) **Benefits:** * Premium private health insurance plan. * Wellhub: Gym membership platform. * In-house English classes. * Extended statutory leave and flexible vacation options. * Exceptional work environment with events and activities throughout the year. * Complimentary lunch and breakfast provided by the company on in-office days (3\). * Continuous learning opportunities via our internal platform. * Discounts at universities and training centers. * Special occasion recognition. * Additional benefits for newborns. * Relocation expense support. * Connectivity reimbursement.