Lead AI Engineer
Kurzfassung
Lead AI Engineer needed for designing & developing AI solutions, including chatbots & agent workflows. Responsibilities include building AI products, partnering with clients, managing data pipelines, optimizing AI systems, & conducting research. Requires advanced Python, web frameworks (FastAPI), LLM platforms (OpenAI, Anthropic), RAG, Agents, production deployment, AI output evaluation, & ML delivery. Remote work options available.
Schlüsselwörter
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 skills
We 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 | 2026-10-25 |
| Läuft ab | 2026-12-14 |
| Quelle |
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