Full Stack Engineer

About the Role

Invictus AI is an AI-first, AI-native company. This role is designed for early-career engineers who are motivated to build strong full-stack fundamentals while learning how to design and support AI-powered features and agent-based systems.

You will work closely with senior engineers to build AI-enabled workflows, assist in developing multi-step AI agents, and gain hands-on experience operating LLM systems in production environments.

Core Qualifications

Experience

• 1–3 years of software engineering experience (internships or professional)
• Demonstrated ability to ship features with guidance
• Strong desire to grow into an AI-native full-stack engineer

Backend (Required)

• Working knowledge of Python
• Experience with Django, FastAPI, Flask, or similar frameworks
• Understanding of REST APIs and HTTP concepts
• Basic SQL and relational database knowledge
• Familiarity with authentication concepts (sessions, tokens)
• Experience using Git in collaborative environments

Frontend / Mobile (Required)

• Experience with React, React Native, or similar frameworks
• Working knowledge of JavaScript or TypeScript
• Understanding of component-based architecture
• Experience consuming APIs in frontend or mobile apps
• Familiarity with async operations and state management concepts

AI & Agent Exposure (Required)

• Hands-on experience using LLM tools (ChatGPT, Copilot, Cursor, etc.) in daily development
• Basic understanding of:
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• Prompt design and iteration
• Embeddings and vector search (introductory level)
• Retrieval-Augmented Generation (RAG) concepts
• Tool/function calling patterns
• Multi-step or agent-based workflows (high level)
• Any experience integrating AI APIs into applications
• Interest in building AI agents that retrieve information and take structured actions
• Ability to critically evaluate and validate AI-generated outputs

Cloud & Dev Foundations

• Exposure to AWS or GCP
• Basic understanding of Docker or containerization concepts
• Familiarity with CI/CD principles
• Awareness of performance, security, and reliability fundamentals

Core Competencies

Learning Mindset

• Strong curiosity about AI-native engineering
• Willingness to experiment with AI tools to accelerate learning
• Comfort iterating quickly with structured feedback
• Eagerness to understand how AI agents work in production systems

Problem Solving

• Ability to combine human reasoning with AI tools effectively
• Analytical debugging skills
• Ability to break down complex problems into structured steps
• Good judgment about validating non-deterministic AI outputs

Collaboration & Communication

• Clear communication about progress and blockers
• Comfortable asking questions and seeking clarification
• Positive, team-oriented mindset
• Openness to code reviews and technical mentorship

Key Responsibilities

Development

• Build and maintain full-stack features under senior guidance
• Support development of AI-powered features and agent workflows
• Assist in implementing retrieval, tool-calling, and structured action logic
• Write clean, maintainable code with unit tests
• Debug backend, frontend, and AI integration issues

AI-Assisted Engineering

• Use LLM tools to accelerate development, debugging, and learning
• Contribute to experimentation with agent-based systems
• Help improve evaluation, guardrails, and reliability of AI features

Growth & Collaboration

• Participate in code reviews and agile ceremonies
• Contribute to documentation and internal knowledge sharing
• Continuously improve engineering fundamentals and AI literacy

We are seeking a junior engineer who is highly motivated, AI-curious, and eager to grow into a full-stack contributor capable of helping build reliable, production-grade AI agents and intelligent systems.