Senior Software Engineer, Agentic AI

Invicti; Austin (TX); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Health Insurance

Flexible Schedule

Paid Time Off for Volunteering

Learning & Development Budget

Job summary

Invicti is seeking a Senior Software Engineer in Austin, Texas, to join its AI team. The role requires over 5 years of software development experience, particularly in LLM-powered applications and Python. Responsibilities include designing autonomous agent systems, integrating with security tools, and owning features from design to production. Benefits include 100% health insurance coverage for employees, a flexible hybrid schedule, and a commitment to work/life balance, alongside professional development opportunities.

Qualifications

• 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.
• Understanding of cloud-native architectures.

Responsibilities

• Design and implement autonomous agent systems in Python.
• Create Model Context Protocol integrations connecting Octo to security tools.
• Develop and refine prompt chains for real security use cases.

Skills

Python proficiency

Production software development

LLM application building

Distributed systems understanding

API design

Software engineering fundamentals

End-to-end software development

Clear communication skills

Tools

AWS Strands

Kubernetes

GitLab

Vue.js

Go

C#

Job description

Who You Are

You're a seasoned software engineer ready for your next challenge. In this role, you'll join Invicti's newly formed AI team as a Senior Software Engineer, Agentic AI, and play a pivotal role in building our next-generation 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 security challenges.

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

What You'll Be Doing

• 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 security tools, developer environments, and AI coding assistants like Cursor and GitHub Copilot
• LLM Prompt Engineering: Develop and refine prompt chains for real security use cases, including triage, prioritization, and remediation
• RAG & Memory Systems: Build retrieval‑augmented generation 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, deploy, and measure outcomes
• Cross‑Team Collaboration: Work closely with product, platform engineering, security 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

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 cloud‑native architectures
• Experience with prompt 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, CrewAI) in production environments
• Familiarity with MCP (Model Context Protocol) and AI tool integration patterns
• Background in application security, penetration testing, or security 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 GitLab for source control and CICD
• Knowledge of evaluation methodologies for LLM systems (benchmarks, red‑testing, human feedback)
• Experience building third‑party product integrations using REST APIs
• Contributions to open‑source AI/ML projects

What You've Got

• Strong problem‑solving mindset with intellectual curiosity about AI/ML
• High degree of ownership, accountability, and initiative
• Comfortable working in fast‑paced environments where prototypes are rapidly iterated or discarded
• Excited about autonomous AI systems and seeing your work used by real customers
• Adaptable and effective working across distributed teams
• Detail‑oriented, with a focus on delivering systems that scale and last

Your Health & Wellness Matters

• Health Insurance: We cover 100% of employee health care, vision, and dental premium costs. For dependents, we contribute 75% of healthcare and 50% vision/dental premium cost. Coverage is effective on your first day
• Employee Assistance Program: Emotional support counseling services — 24/7 life coaching, dependent care, elder care, financial & legal support, wellness coaching, new parent support, and more
• Parental Leave: 16-week paid leave for birthing parent recovery; 4-week paid leave for non‑birthing/bonding parent
• 401(k) Savings Plan: 50% up to 6% company match with 100% annual cliff vesting

We Value Work/Life Balance

• Hybrid Flexible Schedule
• Discretionary Time Off: Take time away from work when you need it (subject to manager approval)
• Quarterly Thrive‑Wellness Days: One extra day per quarter where the entire company takes a break to refresh and rejuvenate
• Volunteering: 5 days of paid time off each year to participate in volunteer activities of your choice

We Value You

• Learning & Development Budget: Investment in your professional growth
• Employee Recognition: Ongoing recognition & rewards in a culture that emphasizes personal and professional growth

At Invicti, we embrace diversity and individuality in all forms. Discrimination has no place here - regardless of race, religion, gender, age, ability, sexual orientation, or any other aspect that makes you unique. We're all about creating a space where everyone feels valued and included. So come as you are and join us in shaping the future of our industry.