LLM Engineer

• Add AI functionality into existing Python, Node.js, and Ruby codebases
• Build LLM-powered features: chat, summaries, classification, smart search, document Q&A
• Design lightweight RAG pipelines using embeddings and vector search
• Work with vector DBs (pgvector, Pinecone, Qdrant)
• Implement safe, reliable LLM endpoints (OpenAI, Anthropic, Azure)
• Work directly with clients to shape AI features and reduce manual effort
• Advise clients when NOT to use AI and navigate trade-offs around latency, accuracy, and cost

LLM Engineer, Freelancer

• As a Senior Generative AI Engineer, you will lead the design and deployment of advanced AI solutions in cloud environments like AWS, Azure, and GCP.
• Responsibilities include building robust data pipelines, optimizing performance, and deploying large language models (LLMs) for various business needs.
• Emphasizing AI ethics, you'll ensure responsible practices are integrated throughout development.
• Additionally, you'll collaborate with stakeholders to translate business needs into technical requirements and communicate complex AI concepts clearly.

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LLM Engineer, Freelancer

Senior Generative AI Engineer