Lead AI Engineer (GenAI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Lead AI Engineer (GenAI): Designing and implementing end-to-end Generative AI applications, specifically document intelligence and RAG pipelines, with an accent on scalability, latency, and cost optimization. Focus on building agentic workflows, fine-tuning LLMs, and productionizing AI services using MLOps best practices.
Location: Remote
Company
is a technical consultancy that treats AI as a software engineering discipline to build robust, scalable production services for a diverse range of clients.
What you will do
- Architect and build GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud.
- Develop advanced RAG pipelines and Semantic Search systems using Google Cloud Vector Search or Pinecone.
- Lead LLM and Embedding fine-tuning to improve domain-specific performance.
- Build and manage agentic workflows to automate complex multi-step reasoning tasks.
- Collaborate with customers to translate business needs into high-performance AI architectures.
- Apply MLOps best practices to ensure models are served efficiently and continuously improved.
Requirements
- 8+ years of experience in AI/ML.
- Proven track record of deploying GenAI products to a production environment.
- Mastery of Python and shell scripting.
- Deep knowledge of Google Gemini, GPT-4, or LLaMA, including Prompt Engineering and Fine-tuning.
- Expertise in Vector Databases (Vertex AI Vector Search, pgvector, etc.) and Semantic Search.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
Nice to have
- Experience with Classic Machine Learning (neural nets, training, tuning).
- Knowledge of Data Engineering and SQL.
Culture & Benefits
- Culture of ownership where you see projects through from concept to deployment.
- Environment that encourages lifelong learning to stay ahead of the fast-changing AI landscape.
- Consultative atmosphere focusing on translating technical complexity into business value.
- Strong commitment to responsible AI development and data privacy.
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