AI Engineer

Requirements

About the role

Responsibilities:

• Design, develop, and deploy NLP and generative AI models using LangGraph, LangChain, OpenAI GPT series, and Hugging Face Transformers
• Integrate AI workflows to power conversational agents for campaign QA, reporting prompts, and performance recommendations
• Collaborate with product and data teams to embed GenAI features into AtomicAds' core platform
• Build and maintain chatbot solutions using Python and Django for user interactions and dashboard integrations
• Optimize AI pipelines for scalability, latency, reliability, and cost-efficiency
• Implement model monitoring and evaluation tools to ensure performance and fairness
• Ensure secure, compliant deployment of models and APIs
• Maintain clear documentation, testing strategies, and version control
  

Requirements:

• Experience: Minimum 2 years in NLP and GenAI development
• Technical Skills: Proficient in Python, with deep experience in AI frameworks: LangGraph, LangChain, OpenAI API, Hugging Face. Hands-on experience building chatbot/service layers using Django or similar Python web frameworks
• AI Competency: Strong grasp of LLM architectures, prompt engineering, model fine-tuning, and evaluation
• Software Engineering: Demonstrated ability to write clean, modular, and testable code
• Collaboration and Communication: Ability to work in small teams, with clear written and verbal communication
  

Bonus:

• Experience with programmatic advertising, DSPs, or marketing automation
• Familiarity with cloud platforms (AWS, GCP, Azure) for AI workloads
• Knowledge of MLOps, Docker, Kubernetes, or CI/CD pipelines