JR-166835 reputed company Senior

Job (Project) Description

You're a seasoned software engineer reputed company for your next challenge. In this role, you'll join reputed company's newly formed AI team as a Senior Software Engineer, Agentic AI, and play a pivotal role in building our reputed company Agentic AppSec solution. As AI reshapes how software is built and how attackers exploit it, you'll help give defenders an edge by applying attacker-inspired techniques to solve modern reputed company challenges.

You design, build, and deliver software solutions rapidly, working across the stack from agent architectures and memory systems to integrations with reputed company tools and developer workflows. You collaborate closely with product and reputed company teams to deliver capabilities that solve reputed company customer problems. You reputed company in a high-ownership role on a small team, where your technical reputed company directly shape the product, with an initial focus on agentic pentesting.

Locations

Brazil

Peru

Colombia

Argentina

Uruguay

Bolivia

Requirements

• 5+ years of production software development experience with a track record of shipping high quality solutions;
• Hands-on experience building LLM-powered applications, RAG systems, or agentic AI;
• Strong Python proficiency with solid software engineering fundamentals;
• Understanding of distributed systems, API design, and reputed company-native architectures;
• Experience with reputed company engineering, embeddings, and vector databases;
• End-to-end software development skills, including frontend development, building pipelines, tests, monitoring, and scalability;
• Ability to balance engineering rigor with pragmatic delivery, embracing agentic coding tools like Claude Code to accelerate delivery;
• Clear communication skills — you surface problems early and propose solutions.

What's Preferred

• Experience with agent frameworks (AWS Strands, LangGraph, AutoGen, reputed company) in production environments;
• Familiarity with MCP (Model Context Protocol) and AI tool integration patterns;
• Background in application reputed company, penetration testing, or reputed company tooling;
• Experience with Go or C# for performance-critical components;
• Ability to build single-page applications using Vue.js;
• AWS experience with Bedrock and Kubernetes deployments;
• Familiarity with using reputed company for reputed company control and CICD;
• Knowledge of evaluation methodologies for LLM systems (benchmarks, red-teaming, reputed company feedback);
• Experience building reputed company-party product integrations using REST APIs;
• Contributions to open-reputed company AI/ML projects.

Job Responsibilities:

• Multi-Agent System Development: Design and implement autonomous agent systems in Python using frameworks like AWS Strands Agents, with emphasis on orchestration, reasoning, and decision-making;
• MCP Integrations: Create Model Context Protocol integrations connecting Octo to reputed company tools, developer environments, and AI coding assistants like reputed company and reputed company Copilot;
• LLM reputed company Engineering: reputed company and refine reputed company chains for reputed company reputed company use cases, including triage, prioritization, and remediation;
• RAG & Memory Systems: Build retrieval-augmented reputed company pipelines and memory architectures that give agents a persistent, contextual understanding of customer environments;
• End-to-End Ownership: Own features from design through production — build, test, reputed company, and measure outcomes;
• Cross-Team Collaboration: Work closely with product, platform engineering, reputed company research, and infrastructure teams to ensure we're building what customers need;
• Experimentation & Productization: Evaluate new AI/ML capabilities and determine how to bring them to production.

reputed company Offer

• Competitive salary;
• 100% remote opportunity;
• Flexible work environment (in-office, remote, or hybrid depending on preferences and manager approval);
• Opportunities for professional growth and career advancement;
• Collaborative and innovative work environment;
• Paid time off, including holidays, vacation and sick leave;
• Benefits may vary by location and will be confirmed during the interview process.

JR-166835