AI Engineer

ALMBASE TEKNOLOJİ ANONİM ŞİRKETİ

Role Summary

As a Junior AI Developer at Almbase, you will work alongside experienced engineers to build AI-powered products and services that solve real-world problems. You will gain hands-on experience across a wide spectrum — from LLM integrations and autonomous agent architectures to machine learning models and data pipelines.

Key Responsibilities

• LLM Integration: Integrate large language model APIs (OpenAI, Anthropic Claude, Google Gemini, etc.) into production applicationsAI Agent Development: Design and build autonomous agent systems using frameworks such as LangChain, LangGraph, or CrewAI
• Prompt Engineering: Design, test, and continuously improve prompt strategies for various use cases
• ML Modelling: Prototype, train, and evaluate machine learning models for classification, regression, or NLP tasks
• Workflow Automation: Automate repetitive business processes with AI-driven workflows and pipelines
• API & Service Development: Expose AI capabilities through well-designed RESTful APIs
• Research & Development: Stay current with the latest AI/ML research and bring new ideas to the team
• Testing & Monitoring: Measure and monitor the reliability, accuracy, and performance of AI systems

Requirements

• Strong Python programming skills
• Basic hands-on knowledge or experience with LLM APIs (OpenAI, Anthropic, or similar)
• Solid understanding of machine learning fundamentals (supervised/unsupervised learning, model evaluation)
• Proficiency with Git version control
• A strong curiosity and eagerness to learn about AI and large language models
• Ability to read and comprehend English technical documentation

Nice to Have

• Experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, or CrewAI
• REST API development with FastAPI or similar frameworks
• Knowledge of RAG (Retrieval-Augmented Generation) architectures
• Experience with vector databases (Pinecone, Weaviate, or Chroma)
• Familiarity with Docker and basic cloud services (AWS, GCP, or Azure)
• Bachelor's degree in Computer Science, Software Engineering, Mathematics, or a related field
• A portfolio of personal AI projects (GitHub, Kaggle, Hugging Face, etc.)