Lead AI Engineer

Quick Facts

• Role: Lead AI Engineer

• Focus: End-to-end development of LLM-driven AI applications (chatbots, Q&A, agent workflows)

Description

You will design, implement, and maintain comprehensive AI applications, working with clients to deliver LLM-driven solutions aligned with business needs. The role includes building data pipelines, prompt strategies, and datasets, evaluating and improving AI system performance, and performing research and rapid prototyping. You will also stay up to date with the latest LLM technologies and deployment frameworks.

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 support effective and accurate AI models

• Evaluate and refine AI outputs for accuracy, security, scalability, and regulatory compliance (bonus)

• Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value

• Stay current with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and outcomes

Requirements

• Strong proficiency in Python

• Experience with web frameworks such as FastAPI (or similar)

• Understanding of the AI application development lifecycle

• Rapid UI prototyping experience using Streamlit, Gradio, or similar frameworks

• Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini) and related frameworks (e.g., LangGraph, LlamaIndex, agent frameworks)

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

• Experience deploying AI solutions at scale with performance, cost-efficiency, and maintainability considerations

• Proven ability to evaluate generative AI quality using retrieval/classification metrics and LLM-based evaluation methods

• Proven experience delivering ML-based solutions

• Strong problem-solving skills and attention to detail

• Excellent communication, collaboration, and interpersonal skills

Benefits

• Engineering community and friendly team environment

• Flexible schedule and opportunity to work remotely within Poland

• Opportunity to work abroad for up to 60 days annually

• Business-driven relocation opportunities

• Growth opportunities: career roadmap, leadership development, career advising, soft skills, and well-being programs

• Certifications (GCP, Azure, AWS)

• Unlimited access to LinkedIn Learning, Get Abstract, and Cloud Guru; English classes

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

• Benefits package (health insurance, multisport, shopping vouchers)

• Office amenities (snacks, coffee, and entertainment zones)

• Referral bonuses and corporate social/well-being events

Note: Bonuses may vary based on the role; specifics are discussed with the recruiter.