Lead AI Engineer

Quick Facts

• Role: Lead AI Engineer
• Focus: LLM-driven applications (chatbots, Q&A, agent workflows)
• Core themes: end-to-end AI development, data pipelines, evaluation, prototyping

Description

You will design, implement, and maintain LLM-powered AI applications and deliver tailored solutions in collaboration with clients. The role includes building data pipelines and prompt/dataset strategies, refining AI system performance, and conducting research and rapid prototyping to validate feasibility and business value.

Responsibilities

• Design, implement, and maintain end-to-end AI applications, including chatbots, Q&A platforms, and agent workflows
• Collaborate directly with clients to understand their needs, identify opportunities, and recommend LLM-driven solutions
• Develop and manage robust data pipelines, prompt strategies, and datasets to improve AI model effectiveness
• Evaluate and refine AI system performance to ensure outputs are accurate, secure, scalable, and compliant with industry regulations
• Conduct research and rapid prototyping to validate technical feasibility and demonstrate 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 frameworks
• Familiarity with major LLM platforms and APIs: OpenAI, Anthropic, Amazon Bedrock, Gemini
• Knowledge of related frameworks: LangGraph, LlamaIndex, Strands Agents (or similar)
• Experience with advanced AI integration patterns such as RAG and Agents
• Proven experience deploying AI solutions at scale (performance, cost-efficiency, maintainability)
• Ability to evaluate generative AI quality using retrieval/classification metrics and LLM-based evaluation methods
• Proven AI engineering experience delivering ML-based solutions
• Strong problem-solving skills and attention to detail
• Excellent communication, collaboration, and interpersonal skills

Benefits

• Stable pay
• Employee Stock Purchase Plan with a 15% discount
• Benefits package: health insurance, Multisport, shopping vouchers
• Referral bonuses up to $2,000
• Career development programs, mentoring, and soft-skills/well-being programs
• Certifications (Anthropic, Gemini, GCP, Azure, AWS) and English classes
• Hybrid work model with opportunity to work remotely within Poland
• Chance to work abroad for up to 60 days annually and business-driven relocation opportunities
• Office perks and social events (entertainment/relaxation zones, table tennis/football, free snacks and coffee)