Senior Software Engineer – Agentic AI (AppSec)

Location: Remote

Scheme: Contractor

Overview

We are looking for a Senior Software Engineer – Agentic AI to join a newly formed AI team focused on building next-generation Agentic AppSec solutions.

In this role, you will work at the intersection of AI, software engineering, and security, designing and delivering autonomous systems that help organizations proactively identify and mitigate modern threats.

This is a high-ownership position where you will shape product direction, build agentic systems from the ground up, and collaborate closely with product, security, and engineering teams.

Key Responsibilities

Design and implement multi-agent AI systems in Python, focusing on orchestration, reasoning, and decision-making
Build MCP (Model Context Protocol) integrations with security tools, developer environments, and AI assistants (e.g., Cursor, GitHub Copilot)
Develop and optimize LLM prompt chains for real-world security use cases (triage, prioritization, remediation)
Build and maintain RAG pipelines and memory systems to provide contextual and persistent intelligence
Own features end-to-end: design, development, testing, deployment, and monitoring
Collaborate cross-functionally with product, platform, security, and infrastructure teams
Evaluate emerging AI/ML capabilities and drive experimentation to production

Requirements

Must Have

5+ years of experience in software development (production environments)
Hands-on experience with LLM-powered applications, RAG systems, or agentic AI
Strong proficiency in Python and solid software engineering fundamentals
Experience with distributed systems, API design, and cloud-native architectures
Knowledge of prompt engineering, embeddings, and vector databases
End-to-end development experience (frontend, pipelines, testing, monitoring, scalability)
Strong communication skills and ability to drive solutions proactively

Nice to Have

Experience with agent frameworks (AWS Strands, LangGraph, AutoGen, CrewAI)
Familiarity with MCP (Model Context Protocol) and AI integrations
Background in Application Security, Pentesting, or Security Tooling
Experience with Go or C#
Experience building SPAs (Vue.js preferred)
AWS experience (especially Bedrock) and Kubernetes
Experience with GitLab (CI/CD)
Knowledge of LLM evaluation methods (benchmarks, red-teaming, human feedback)
Experience with third-party integrations (REST APIs)
Contributions to open-source AI/ML projects

What We’re Looking For

Strong problem-solving mindset and curiosity in AI/ML
High level of ownership, accountability, and initiative
Comfortable working in fast-paced, iterative environments
Passion for autonomous AI systems and real-world impact
Ability to work effectively in distributed teams
Detail-oriented with focus on scalable, high-quality systems

Why Join Us

We offer a supportive and rewarding work environment with benefits designed to help you thrive:

Full-Time Position: Stability and growth in a dedicated role
Competitive Compensation: Paid in US dollars
100% Remote: Work from anywhere in Latin America
Paid Time Off: 12 PTO days per year
Local Holidays: All official holidays in your country
Birthday Off: Take your special day off
Career Growth: Clear paths for professional development
Recognition Program: Celebrate achievements and contributions.
Paid Leaves: Fully covered approved leaves

If you meet these requirements and are interested in applying, we’d love to hear from you!

Senior Software Engineer, Agentic AI