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 Generative AI Engineer (Consulting)
Builds
Production-ready GenAI applications (self-managed and API-accessible) integrating semantic search, RAG, agents, and fine-tuned models.
Domain
Management Consulting / Generative AI
Deliverable
production ML models | product features
Required skills
Python, Generative AI frameworks (LangChain, LlamaIndex), NLP/NLU, vector embedding, semantic search, advanced prompting (Chain/Tree/Graph of Thought, ReAct, Guardrails), model selection and fine-tuning, multimodal content generation, RAG optimization, model performance monitoring, regulatory compliance (GDPR, EU AI Act).
Preferred skills
Experience with both proprietary and open-source model ecosystems (OpenAI, AWS, Hugging Face, Anthropic, Mistral.ai, Qwen), knowledge of edge models (Ministral, Arcee AI), research on latest GenAI techniques.
Technologies
LangChain, LlamaIndex, pgvector, GPT-x, Claude, Gemini, Ministral, Arcee AI, OpenAI, AWS, Hugging Face, Anthropic, Mistral.ai, Qwen.
Responsibilities
Assist GenAI Solution Architects in application design; develop GenAI applications meeting business needs and regulations; design effective prompts to enhance model capabilities; optimize model output accuracy using RAG; select and fine-tune models for multimodal content; conduct research on GenAI advances; ensure responsible AI development and security; monitor production performance and resolve scalability issues; document processes and best practices; differentiate GenAI use cases from traditional NLP.
Seniority
Senior, hands-on IC