Senior Software Engineer, Agentic AI

Invicti; Boston (MA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health Insurance

401(k) Savings Plan

Parental Leave

Discretionary Time Off

Thrive-Wellness Days

Volunteerism Time Off

Job summary

Invicti is seeking a Senior Software Engineer to join our AI team and help build the next-generation Agentic AppSec solution. You will design and ship multi-agent systems, MCP integrations, and prompt-driven security workflows across the stack.

You’ll own features end-to-end, partnering with product, security, and infra teams to deliver scalable, production-ready solutions. The role emphasizes hands-on leadership, high ownership, and collaboration in a fast-paced environment focused on

Qualifications

• 5+ years of production software development experience 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.

Responsibilities

• Design and implement autonomous agent systems in Python.
• Create MCP integrations connecting Octo to security tools, developer environments, and AI coding assistants like Cursor and GitHub Copilot.
• Develop and refine prompt chains for real security use cases, including triage, prioritization, and remediation.
• Build retrieval-augmented generation pipelines and memory architectures for contextual understanding of customer environments.
• Own features from design through production — build, test, deploy, and measure outcomes.
• Work closely with product, platform engineering, security research, and infrastructure teams.

Skills

Python

Distributed systems

API design

Cloud-native architectures

Prompt engineering

Embeddings

Vector databases

Frontend development

Go or C#

Vue.js

Kubernetes

GitLab CI/CD

LLM/Agentic AI

REST APIs

Tools

AWS Strands Agents

LangGraph

AutoGen

CrewAI

Model Context Protocol (MCP)

Cursor

GitHub Copilot

AWS Bedrock

Kubernetes

GitLab

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

What You'll Need

• 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-teaming, 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

Why Invicti: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


• Volunteerism Time Off: 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.