Lead AI Engineer

Quick Facts

• Lead AI Engineer focused on end-to-end LLM-driven application development (chatbots, Q&A, agent workflows)
• Client-facing delivery, data pipelines, prompt strategies, evaluation, and performance improvements

Description

Design, implement, and maintain comprehensive AI applications, including chatbots, Q&A platforms, and agent workflows. Work closely with clients to understand needs and recommend tailored LLM-driven solutions. Build and manage data pipelines and prompt strategies, refine AI system performance for accuracy, security, scalability, and compliance, and use 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 with clients to understand needs, identify opportunities, and recommend LLM-driven solutions
• Develop and manage data pipelines, prompt strategies, and datasets to improve effective and accurate AI models
• Evaluate and refine AI system performance to ensure outputs are accurate, secure, scalable, and compliant
• Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value
• Stay current with evolving LLM technologies, frameworks, and methodologies to improve solutions and outcomes

Requirements

• Strong proficiency in Python and experience with web frameworks like 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)
• Experience with LLM-related frameworks (e.g., LangGraph, LlamaIndex, Strands Agents)
• Knowledge of advanced AI integration patterns such as RAG and agent-based approaches
• Experience deploying AI solutions at scale with performance, cost-efficiency, and maintainability in mind
• Proven ability to evaluate generative AI quality using retrieval/classification metrics and LLM-based evaluation methods
• 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 pay
• Employee Stock Purchase Plan with a 15% discount
• Benefits package (health insurance, multisport, shopping vouchers)
• Referral bonuses up to $2,000
• Hybrid-by-design with opportunity to work remotely within Poland
• Chance to work abroad for up to 60 days annually; business-driven relocation opportunities
• Career development programs, mentoring, thought leadership, soft skills and well-being programs
• Certifications (Anthropic, Gemini, GCP, Azure, AWS)
• English classes
• Corporate, social, and well-being events
• Offices with entertainment and relaxation zones (e.g., table tennis/football) and free snacks/coffee