Lead AI Engineer
Kurzfassung
Lead AI Engineer needed to design and develop AI solutions (chatbots, agent workflows) using LLMs. Responsibilities include building AI products, data pipelines, monitoring performance, and R&D. Requires advanced Python, AI lifecycle understanding, LLM platform experience, RAG/Agents knowledge, and production deployment experience. Offers competitive pay, flexible hours, remote options, and projects with major clients.
Von KI erstellte Kurzfassung des Anzeigentextes.
We are looking for a Lead AI Engineer to join the team and take charge of designing and developing end-to-end AI solutions, including chatbots and agent workflows. As a Lead AI Engineer, you will work closely with clients and build tailored solutions powered by LLMs that address specific business objectives. Responsibilities
Build, launch, and maintain full-cycle AI products.
Partner with customers to uncover their goals and propose LLM-powered solutions tailored to their context.
Create and maintain reliable data processing pipelines that ensure the accuracy and efficiency of AI models.
Monitor and optimize AI system performance, with a focus on correctness, security, scalability, and compliance with relevant regulations.
Run exploratory research and fast prototypes to test technical feasibility and demonstrate the business value of AI solutions.
Stay updated on the rapidly changing LLM landscape - new models, frameworks, and techniques.
Requirements
Advanced Python skills, including practical experience with web frameworks such as FastAPI or comparable tools.
A solid grasp of the full lifecycle involved in building AI-powered applications.
Hands-on exposure to leading LLM platforms and APIs — OpenAI, Anthropic, Amazon Bedrock, Gemini — along with ecosystem tools like LangGraph, LlamaIndex, Strands Agents, and similar.
Understanding of AI integration approaches, such as RAG, Agents.
Track record of rolling out AI systems in production.
Demonstrated ability to assess generative AI output quality using retrieval and classification metrics, as well as LLM-based evaluation techniques.
Hands-on experience in AI engineering and delivering ML-based solutions.
Strong problem-solving skills and attention to detail
Strong communication, teamwork, and relationship-building skillsWe offer:
Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
- Competitive compensation that depends on your qualification and skills
- Career development system with clear skill qualifications
- Flexible working hours aligned to your schedule
- Options to work remotely
| Veröffentlicht | 2026-09-15 |
| Läuft ab | 2026-12-14 |
| Quelle |
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