Fetcherr experts in deep learning, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions.

We are seeking a talented and motivated LLM Developer to join our growing LLM Engineering team. In this role, you will be instrumental in building and enhancing our Large Language Model (LLM) Graph and Agent capabilities. You will work with state-of-the-art LLM technologies, focusing on practical implementation, performance optimization, and robust testing to deliver impactful AI-driven solutions. If you are passionate about pushing the boundaries of what LLMs can do and thrive in a dynamic, innovative environment, we encourage you to apply

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Key responsibilitie

• s:Develop, implement, and optimize LLM-based applications, with a specific focus on building and improving LLM Graphs and Agent
• s.Integrate and fine-tune LLMs for specific use cases, ensuring accuracy, efficiency, and scalabilit
• y.Design and implement robust testing strategies for LLM models and applications, including evaluation metrics, data validation, and adversarial testin
• g.Collaborate closely with LLM Engineers and other cross-functional teams to integrate LLM solutions into larger product ecosystem
• s.Conduct research and experimentation to identify and evaluate new LLM techniques, libraries, and framework
• s.Contribute to the maintenance and improvement of our LLM development best practices, including coding standards, version control, and reproducibilit
• y.Troubleshoot and debug issues related to LLM performance and deploymen
• t.Stay up-to-date with the latest advancements in the LLM space and proactively share knowledge within the tea

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You'll be a great fit if you have

• ...3+ years of professional experience in software development with a strong emphasis on Pyth
• on.Minimum of 1 year of hands-on experience with production LLM usage, including practical application and deployme
• nt.Demonstrated understanding of LLM testing methodologies, including evaluation metrics, bias detection, and performance benchmarki
• ng.Experience building and working with LLM frameworks and libraries (e.g., LangChain, LangGrap
• h).Strong understanding of data structures, algorithms, and software design principl
• es.Experience with version control systems (e.g., Gi
• t).Excellent problem-solving and analytical skil
• ls.Ability to work independently and as part of a collaborative te
• am.Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experien

ce.
Nice to h

• ave:Experience with Big
• DataFamiliarity with building and deploying AI age
• nts.Knowledge of cloud platforms (e.g., GCP) and MLOps practi
• ces.Experience with containerization technologies (e.g., Dock
• er).Understanding of prompt engineering techniques and best practi
• ces.Experience with other programming languages or frameworks relevant to AI developm