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Emerging Domain

Gen AI & AI Engineer

Architect Agentic AI Systems & Generative Workflows.

We are looking for engineers building with OpenAI/Anthropic APIs, LangChain, LlamaIndex, PyTorch, Vector DBs, or local LLMs to tackle real enterprise generative AI challenges.

Preferred Technologies & Frameworks (use whatever you are most proficient in):
PythonOpenAI APILangChainLlamaIndexPineconeChromaDBPyTorchHugging FaceOllamaFastAPIVector SearchRAG Frameworks
Submit Application Selection Process

Role Overview

Accepting Applications
Position Gen AI & AI Engineer
On Completion Verified completion credentials
Evaluation Mode Stack-Agnostic Project Challenge
Upon Selection Access to paid work with real projects and startups
Official Verified Credentials

Selection Letter on shortlisting. Completion Certificate on project submission.

Selection Process

How to join as a Gen AI & AI Engineer.

A clear, transparent 5-step path from application to real paid project work.

01

Submit Your Application

Complete the application form with your personal details, academic background, preferred tech stack, and developer profiles. Takes approximately 2 minutes.

02

Profile Screening & Selection

Our engineering panel reviews your profile. Shortlisted applicants receive an official Selection Letter and invitation to the domain-specific task group.

03

Practical Project Evaluation

Work on real-world engineering challenges using any technology stack you prefer. All candidates who complete the evaluation receive verified completion credentials.

04

Technical Interview

Top performers advance to a live technical interview with senior Kagnus engineers to evaluate architecture decisions and code quality.

05

Paid Projects & Network Access

Selected engineers join the Kagnus Engineering Network with access to paid work on real client projects, startup products, and commercial assignments.

Recognized Credentials

Complete the evaluation. Earn verified credentials.

We recognize engineering effort. Whether you advance to the technical interview or not, completing the practical evaluation guarantees you an official Kagnus Verified Completion Certificate and professional recognition. Top performers unlock access to paid commercial work with real startups and clients.

Technology-agnostic evaluation Professional portfolio recognition Verified credential link Direct access to task group
Kagnus. OFFICIAL CERTIFICATE

Verified Engineering Evaluation

Gen AI & AI Engineer

Issued to Candidate
Evaluation Project Preview

Autonomous RAG Knowledge Agent & Document Intelligence Challenge

Develop an enterprise AI agent capable of ingesting complex PDF documents, storing embeddings in a vector database, and providing contextual reasoning with source citations.

Required Deliverables:

  • GitHub repository with clear environment setup instructions
  • Live web UI or API endpoint demonstration
  • Demo recording showing multi-step agent reasoning

Evaluated Skill Dimensions

Retrieval-Augmented Generation (RAG) Architecture
LLM Prompt Optimization & Function Calling
Vector Embeddings & Semantic Search Pipelines
Autonomous Agent Workflows & Memory Systems
AI API Integration & Async Model Inference
Gen AI & AI Engineer — Application Accepting Applications

Apply for Gen AI & AI Engineer Position

Complete the form below to submit your application. All fields marked with an asterisk are required. Typical completion time is under 3 minutes.

Personal Information
Academic Background
Technical Profile
Select the technologies you are proficient in.
You may also specify additional AI tools, model providers, or frameworks not listed above.
Developer Profiles (provide at least one)

Free application. No charges at any stage. Shortlisted candidates will receive an official Selection Letter.

Frequently Asked Questions

Common Questions

Everything you need to know about the Gen AI & AI Engineer position.

Can I use open-source LLMs like Llama 3 via Ollama?

Absolutely. You can use OpenAI, Anthropic, or local open-source models via Ollama or Hugging Face.