Lead AI Engineer

Quick Facts

• Role: Lead AI Engineer

Description

Lead the design and development of end-to-end AI applications, including chatbots, Q&A platforms, and agent workflows, using LLM-driven solutions tailored to client business needs. You will collaborate with clients to translate requirements into LLM solutions, and build data pipelines, prompt strategies, and datasets to deliver accurate AI models. The role also includes evaluating and refining AI system performance for accuracy, security, scalability, and compliance, plus ongoing research and prototyping to validate feasibility and impact.

Responsibilities

• Design, implement, and maintain end-to-end AI applications (chatbots, Q&A platforms, agent workflows)

• Work with clients to understand needs, identify opportunities, and recommend LLM-driven solutions

• Develop and manage data pipelines, prompt strategies, and datasets to improve model effectiveness

• Evaluate and refine AI system performance for accurate, secure, scalable, and compliant outputs

• 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 like FastAPI or similar

• Understanding of the AI application development lifecycle

• Experience with rapid UI prototyping (Streamlit, Gradio, or similar)

• Familiarity with major LLM platforms/APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini) and frameworks (LangGraph, LlamaIndex, Strands Agents, etc.)

• Knowledge of advanced AI integration patterns (e.g., RAG, Agents)

• Experience deploying AI solutions at scale (performance, cost-efficiency, maintainability)

• Ability to evaluate generative AI quality using 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 and collaboration skills

Benefits

• Flexible schedule with remote work opportunity within Poland; chance to work abroad up to 60 days annually

• Business-driven relocation opportunities

• Career roadmap, leadership development, career advising, soft skills and well-being programs

• Certifications (GCP, Azure, AWS)

• Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru

• English classes

• Stable income (employment contract or B2B) and Employee Stock Purchase Plan

• Health insurance, multisport, shopping vouchers

• Referral bonuses and corporate, social, and well-being events