Senior AI Engineer - Remote Position

About the Role

We are looking for a Senior AI Engineer to lead the development and scaling of our clients’ LLM-powered solutions. This Senior AI Engineer remote position is designed for an expert who understands the nuances of the generative AI lifecycle—from prompt engineering and RAG architecture to fine-tuning and production-grade deployment. You will be responsible for transforming raw model capabilities into robust, reliable, and scalable backend services.

What You'll Do

• 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.

Requirements

• Expert-level Python skills with a deep understanding of asynchronous programming and backend architecture.
• 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.

Nice to Have

• Experience with advanced indexing strategies for vector databases.
• Familiarity with tools for monitoring and evaluating AI performance.
• Knowledge of the latest trends in generative AI.

What We Offer

• Get paid, not played: Enjoy on-time monthly payments with flexible withdrawal options.
• Predictable project hours: Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.
• Flex days: Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.
• Career-accelerating positions at cutting-edge companies: Discover exclusive long-term remote positions at the world’s most exciting companies.
• Hand-picked opportunities: Skip the typical recruitment roadblocks and biases with personally matched positions.
• One seamless process: A one-time contracting process for endless opportunities, with no extra assessments.
• Compensation: Enjoy the same pay every month with positions landed through Proxify.