Senior AI Engineer

Responsibilities

• Develop and integrate LLM-powered features such as AI-assisted workflow automation, code generation, and content strategy. - Optimize AI performance through prompt engineering, retrieval-augmented generation (RAG), and evaluation frameworks. - Build and scale AI infrastructure, ensuring low-latency responses, caching, and cost-efficient model usage. - Implement AI observability and safeguards, monitoring quality, security, and compliance. - Collaborate with product and engineering teams to deliver intuitive, AI-driven user experiences. - Stay ahead of AI advancements, continuously improving our AI-powered capabilities. - Collaborate with early adopters to optimize model performance and usability. ## Qualifications

• 3+ years of experience in machine learning engineering, AI/LLM integration, or applied NLP

• Proven track record of building LLM-powered applications

• Strong experience with foundation models (GPT-4o, Claude, etc.) and advanced prompt engineering

• Experience with embedding models (e.g., OpenAI Ada, Cohere, or local vector stores like pgvector, Weaviate, Pinecone)

• Deep understanding of retrieval-augmented generation (RAG) and contextual AI response optimization

• Familiarity with LangChain, or similar frameworks for orchestrating LLM-powered applications

• Strong programming skills in Python (experience with AI frameworks like Hugging Face, LangChain, or OpenAI SDK)