Job Description
Position: GenAI Engineer (FastAPI + GenAI +Agents)
Location: Remote
Experience: 2–3 Years
Type: Full-time
About Katonic
We are a young, Aussie Generative AI startup headquartered in Sydney, Australia.
Role Overview
We are looking for a skilled Python Developer with experience in building backend services using FastAPI and a working understanding of Generative AI and Agent-based systems. The ideal candidate will work closely with the engineering team to develop robust APIs, integrate AI capabilities, and support next-gen AI product features.
Key Responsibilities
Develop, optimize, and maintain backend services using Python and FastAPI
Design and implement RESTful APIs and microservices architecture
Integrate systems with LLM-based services and GenAI agents
Work with databases (SQL/NoSQL), caching, and message queues
Collaborate with product and AI research teams to support agentic workflows
Write clean, maintainable, and well-documented code
Conduct code reviews, testing, debugging, and performance tuning
Contribute to deployment pipelines and CI/CD processes
Requirements & Qualifications
2–3 years of hands-on experience in Python development
Bachelor’s degree in Computer Science, Engineering, or equivalent experience
Solid understanding of FastAPI or similar frameworks (Flask/Django REST)
Experience with RESTful API design, async programming, and microservices
Basic understanding of GenAI concepts , including: LLMs (e.g., GPT, Claude, LLaMA), prompting and embeddings, agent-based frameworks or tools (LangChain, LlamaIndex, AutoGen, etc.)
Familiarity with SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis, etc.)
Knowledge of Git, containerization (Docker), and Linux environments
Ability to collaborate in Agile/Scrum teams
Bonus Points if You Have:
Experience with RAG (Retrieval-Augmented Generation)
Hands-on with vector databases (FAISS, Milvus, Pinecone, Qdrant, Chroma, etc.)
Exposure to cloud platforms (AWS, GCP, Azure)
CI/CD tooling (Github Actions, Jenkins, GitLab CI)
Experience deploying GenAI services in production
Soft Skills:
Problem-solving mindset
Strong communication skills
Ownership and accountability
Ability to learn fast and adapt to new technologies
What we offer
Opportunity to work at the forefront of Generative AI and Agentic AI
A global, distributed team
100% work-from-home
Please apply only if you match the criteria.
To apply, please fill out this form: https://shorturl.at/dmAfn
Without filling out the form, your application is not complete.
Location: Remote
Experience: 2–3 Years
Type: Full-time
About Katonic
We are a young, Aussie Generative AI startup headquartered in Sydney, Australia.
Role Overview
We are looking for a skilled Python Developer with experience in building backend services using FastAPI and a working understanding of Generative AI and Agent-based systems. The ideal candidate will work closely with the engineering team to develop robust APIs, integrate AI capabilities, and support next-gen AI product features.
Key Responsibilities
Develop, optimize, and maintain backend services using Python and FastAPI
Design and implement RESTful APIs and microservices architecture
Integrate systems with LLM-based services and GenAI agents
Work with databases (SQL/NoSQL), caching, and message queues
Collaborate with product and AI research teams to support agentic workflows
Write clean, maintainable, and well-documented code
Conduct code reviews, testing, debugging, and performance tuning
Contribute to deployment pipelines and CI/CD processes
Requirements & Qualifications
2–3 years of hands-on experience in Python development
Bachelor’s degree in Computer Science, Engineering, or equivalent experience
Solid understanding of FastAPI or similar frameworks (Flask/Django REST)
Experience with RESTful API design, async programming, and microservices
Basic understanding of GenAI concepts , including: LLMs (e.g., GPT, Claude, LLaMA), prompting and embeddings, agent-based frameworks or tools (LangChain, LlamaIndex, AutoGen, etc.)
Familiarity with SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis, etc.)
Knowledge of Git, containerization (Docker), and Linux environments
Ability to collaborate in Agile/Scrum teams
Bonus Points if You Have:
Experience with RAG (Retrieval-Augmented Generation)
Hands-on with vector databases (FAISS, Milvus, Pinecone, Qdrant, Chroma, etc.)
Exposure to cloud platforms (AWS, GCP, Azure)
CI/CD tooling (Github Actions, Jenkins, GitLab CI)
Experience deploying GenAI services in production
Soft Skills:
Problem-solving mindset
Strong communication skills
Ownership and accountability
Ability to learn fast and adapt to new technologies
What we offer
Opportunity to work at the forefront of Generative AI and Agentic AI
A global, distributed team
100% work-from-home
Please apply only if you match the criteria.
To apply, please fill out this form: https://shorturl.at/dmAfn
Without filling out the form, your application is not complete.
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