Lead AI Engineer

Quick Facts

• Role: Lead AI Engineer focused on end-to-end LLM-driven AI applications (chatbots, Q&A platforms, and agent workflows)
• Collaboration: Works closely with clients to tailor solutions to business needs

Description

Lead and build comprehensive AI applications, including chatbots and agent workflows, driven by LLM technologies. Collaborate with clients to design LLM-based solutions, create and manage data pipelines and prompt strategies, and refine AI system performance for accuracy, security, scalability, and compliance. 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 platforms, 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 ensure effective and accurate AI models
• 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 business value
• Stay current with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions

Requirements

• Strong proficiency in Python
• 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
• Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini)
• Knowledge of LLM frameworks (e.g., LangGraph, LlamaIndex, agent-related frameworks)
• Knowledge of advanced AI integration patterns (e.g., RAG, agent workflows)
• Experience deploying AI solutions at scale with performance, cost-efficiency, and maintainability considerations
• Proven ability to evaluate generative AI quality (retrieval/classification scores 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

• Flexible schedule and opportunity to work remotely within Poland
• Option to work abroad for up to 60 days annually and business-driven relocation opportunities
• Growth roadmap, leadership development, career advising, soft-skill and well-being programs
• Certification support (GCP, Azure, AWS)
• Unlimited access to LinkedIn Learning, Get Abstract, and Cloud Guru
• English classes
• Stable income (employment contract or B2B)
• Employee Stock Purchase Plan
• Benefits package (health insurance, multisport, shopping vouchers)
• Strategically located offices with entertainment and relaxation zones, snacks, and coffee
• Referral bonuses and corporate, social, and well-being events
• Bonuses may vary by role and will be discussed during the interview