AI Engineer

Overview

AI Engineer – Job Description

Company Overview

AI Planet, founded in 2020, is on a mission to make Artificial Intelligence accessible to everyone.

Backed by a thriving global AI community of 300,000+ members, AI Planet provides an AI marketplace and a Generative AI stack that enables secure and scalable AI adoption for enterprises and SMEs.

The company actively drives innovation through open-source contributions, including its advanced GenAI Stack and proprietary Large Language Models such as effi-7b and effi-13b.

With strong partnerships across government innovation agencies and industry leaders, AI Planet empowers developers and organizations through education, collaboration, and cutting-edge AI solutions.

Role Overview

We are looking for an AI Engineer who can work across modern Generative/Agentic AI applications and traditional machine learning systems.

This role focuses on building production-ready intelligent systems from classical ML pipelines to LLM-powered agents and AI-driven applications.

The ideal candidate understands how AI models move from experimentation into usable software products.

While this is an AI-first role, familiarity with frontend and backend technologies is a strong advantage for integrating AI capabilities into end-to-end applications.

Key Responsibilities

Traditional Machine Learning

• Develop and deploy ML models for prediction, classification, recommendation, or data-driven insights.
• Perform data preprocessing, feature engineering, and model evaluation.
• Experiment with supervised and unsupervised learning techniques.
• Optimize model accuracy and performance.

Generative AI & LLM Systems

• Build applications powered by Large Language Models (LLMs).
• Design and implement RAG (Retrieval-Augmented Generation) pipelines.
• Work with embeddings, semantic search, and prompt engineering.
• Integrate LLM APIs or open-source models into applications.

Agentic AI

• Design AI agents capable of reasoning, tool usage, and workflow automation.
• Implement multi-step AI workflows and orchestration logic.
• Experiment with agent frameworks and autonomous task execution systems.

Engineering & Collaboration

• Develop APIs or services to expose AI functionality.
• Collaborate with product, frontend, and backend teams to deliver AI features.
• Evaluate and improve system quality, latency, and reliability.
• Contribute reusable AI modules and internal tooling.

Required Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 0–2 years of experience (internships or strong academic projects accepted).
• Strong programming skills in Python.
• Hands-on experience with ML or AI frameworks such as PyTorch, TensorFlow, scikit-learn, Azure ML, Huggingface ecosystem, or model registry and tracking tools.
• Understanding of core ML concepts including model training, evaluation, overfitting, and validation techniques.
• Understanding of Large Language Models and prompt engineering.
• Experience building APIs using FastAPI, Flask, or similar frameworks.

Good to Have — Full Stack Awareness

• Basic backend knowledge including REST APIs and databases.
• Familiarity with frontend frameworks such as React or Next.js.
• Understanding how AI features integrate into user-facing products.

Nice to Have (AI-Focused Skills)

• Experience with RAG systems or conversational AI.
• Knowledge of vector databases such as FAISS, Chroma, Pinecone, or Weaviate.
• Familiarity with orchestration frameworks like LangChain or LlamaIndex.
• Exposure to Agentic AI concepts and AI workflow automation.
• Participation in AI competitions, research, or open-source projects.

Why Join AI Planet?

• Work directly with AI Architects and GenAI innovators.
• Build real-world AI systems combining ML, LLMs, and autonomous agents.
• Hands-on exposure to cutting-edge AI technologies.
• Rapid career growth toward AI specialization.
• Hybrid work culture focused on learning and innovation.