Senior LLM Engineer
SmartAssetFull Time
Senior (5 to 8 years)
Candidates should have experience with the applied AI stack, including prompting, embeddings, vector databases, and fine-tuning. Proven experience in building and shipping LLM-powered features like agents, graphs, or custom assistants in a production environment is required. Familiarity with making principled decisions about data context and grounding is also necessary.
The Applied AI Engineer will lead the end-to-end development of LLM-powered features, architect and scale infrastructure for experimentation and fine-tuning, and make decisions regarding context engineering for optimal LLM performance. Responsibilities include analyzing AI traces to design experiments, defining success metrics for agent performance, designing and executing evaluation frameworks, shaping technical strategy, collaborating with product and engineering teams, and translating domain-specific knowledge into LLM-compatible experiences.
Offers fractional trading and alternative investments
AtomicVest offers investment solutions in the fintech sector, focusing on individual investors and financial advisors. The company specializes in fractional trading, allowing users to buy and sell stocks in any dollar amount, which helps diversify portfolios without needing large sums of money. Additionally, AtomicVest provides alternative investing options, including commodities and real estate, to enhance returns and reduce risk. Its developer-friendly APIs and customizable platform set it apart from competitors, with the goal of transforming the investment landscape through flexible and personalized options.