Senior AI Engineer (LLM)

• Proven experience building and deploying production-level applications using Large Language Models (LLMs).

• Strong experience with SQL and NoSQL databases, specifically optimized for high-dimensional vector search.

• Familiarity with deploying AI models in cloud environments (AWS, GCP, or Azure) and managing CI/CD for AI services.

• A "first-principles" approach to solving the unique challenges of non-deterministic AI outputs

• Experience with fine-tuning open-source models using techniques like LoRA or QLoRA.

• Knowledge of agentic frameworks and autonomous AI agents.

• A background in traditional NLP (Spacy, NLTK) or classic Machine Learning.

Responsibilities

• Architect and implement complex AI workflows using frameworks like LangChain, LlamaIndex, or Haystack.

• Design and optimize Retrieval-Augmented Generation (RAG) pipelines, including vector database management (Pinecone, Weaviate, or Milvus) and advanced indexing strategies.

• Evaluate and implement strategies for model selection (OpenAI, Anthropic, or Open Source like Llama 3) based on latency, cost, and performance requirements.

• Develop high-performance Python backends (FastAPI or Flask) to serve AI features to our global user base.

• Build robust evaluation frameworks to measure LLM accuracy, reduce hallucinations, and monitor production performance using tools like LangSmith or Arize Phoenix.

• Work closely with product and engineering teams to identify high-impact AI opportunities and navigate the technical trade-offs of generative AI.

What we offer:

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Predictable project hours

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Compensation

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