Invictus AI · 13 hours ago
Full Stack Engineer
Invictus AI is an AI-first, AI-native company seeking early-career engineers to build strong full-stack fundamentals. The role involves working closely with senior engineers to develop AI-enabled workflows and gain hands-on experience with LLM systems in production environments.
Computer Software
Responsibilities
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
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
Participate in code reviews and agile ceremonies
Contribute to documentation and internal knowledge sharing
Continuously improve engineering fundamentals and AI literacy
Qualification
Required
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
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
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
Hands-on experience using LLM tools (ChatGPT, Copilot, Cursor, etc.) in daily development
Basic understanding of prompt design and iteration
Basic understanding of embeddings and vector search (introductory level)
Basic understanding of Retrieval-Augmented Generation (RAG) concepts
Basic understanding of tool/function calling patterns
Basic understanding of 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
Exposure to AWS or GCP
Basic understanding of Docker or containerization concepts
Familiarity with CI/CD principles
Awareness of performance, security, and reliability fundamentals
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
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
Clear communication about progress and blockers
Comfortable asking questions and seeking clarification
Positive, team-oriented mindset
Openness to code reviews and technical mentorship
Company
Invictus AI
Invictus AI is an artificial intelligence applications company, bringing the power of personalized AI agents to anyone.
Funding
Current Stage
Early StageCompany data provided by crunchbase