Lead AI Engineer

Quick Facts

Lead AI Engineer focused on building LLM-driven applications (chatbots, Q&A, and agent workflows).

Description

Lead the design, development, and maintenance of end-to-end AI applications, including chatbots, Q&A platforms, and agent workflows powered by LLMs. You will collaborate directly with clients to deliver tailored solutions, build data pipelines and prompt strategies, and continuously improve model performance for accuracy, security, scalability, and compliance. You will also conduct research and rapid prototyping to validate feasibility and demonstrate business value.

Responsibilities

• Design, implement, and maintain end-to-end AI applications (chatbots, Q&A, agent workflows)
• Collaborate with clients to understand needs and recommend LLM-driven solutions
• Develop and manage data pipelines, prompt strategies, and datasets for effective AI models
• Evaluate and refine AI system performance for accuracy, security, scalability, and compliance
• Conduct research and rapid prototyping to prove technical feasibility and business value
• Stay current with evolving LLM technologies, frameworks, and methodologies

Requirements

• Strong proficiency in Python
• Experience with web frameworks such as FastAPI (or similar)
• Understanding of the AI application development lifecycle
• Experience with rapid UI prototyping using Streamlit, Gradio, or similar
• Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini)
• Experience with LLM frameworks (e.g., LangGraph, LlamaIndex, agent frameworks)
• Knowledge of advanced AI integration patterns (e.g., RAG, Agents)
• Experience deploying AI solutions at scale (performance, cost-efficiency, maintainability)
• Proven experience evaluating generative AI quality (retrieval/classification metrics and LLM-based evaluation)
• Proven experience in AI engineering and delivering ML-based solutions
• Strong problem-solving skills and attention to detail
• Excellent communication, collaboration, and interpersonal skills

Benefits

• Stable income via Employment Contract or B2B, plus participation in an Employee Stock Purchase Plan
• Benefits package (health insurance, multisport, shopping vouchers)
• Career roadmap and leadership development, career advising, soft skills, and well-being programs
• Certifications (GCP, Azure, AWS) and unlimited access to learning resources
• English classes
• Chance for remote work within Poland and opportunity to work abroad up to 60 days annually
• Business-driven relocation opportunities
• Office amenities and social events, plus referral bonuses