Applied AI Engineer
Core
Build bespoke Generative AI solutions for clients by orchestrating model stacks, application frameworks, and workflows to deliver cost-effective, scalable, and compliant AI products.
Role type
Senior IC Applied AI Engineer (Generative AI)
Builds
Custom GenAI applications, RAG systems, autonomous agents, and fine-tuned models for diverse business sectors.
Domain
Management Consulting / Generative AI / NLP
Deliverable
production ML models
Required skills
Python, Generative AI frameworks (LangChain, LlamaIndex), NLP/NLU, Vector embedding, Semantic search, Advanced prompting (Chain/Tree/Graph of Thought, ReAct, Guardrails), Model fine-tuning, Multimodal content generation, Model stack management (FM, VLM, SLM), Cloud ecosystems (AWS, Hugging Face, Anthropic, Mistral.ai)
Preferred skills
Experience with GDPR and EU AI Act compliance, Research on latest GenAI techniques, Ethical AI development practices
Technologies
LangChain, LlamaIndex, pgvector, GPT-x, Claude, Gemini, Ministral, Arcee AI, Open AI, AWS, Hugging Face, Anthropic, Mistral.ai, Qwen
Responsibilities
Assist GenAI Solution Architect in application design; Develop GenAI applications (self-managed and API-accessible); Design effective prompts to enhance model capabilities; Optimize model output accuracy with RAG techniques; Select and fine-tune models for multimodal content; Conduct research on GenAI advances; Ensure responsible AI development and compliance; Monitor model performance and resolve scalability issues; Document processes and best practices; Differentiate GenAI use cases from traditional NLP applications.
Seniority
Senior, hands-on IC
