The common responsibilities for this position include developing innovative AI/ML solutions and agentic systems for the LLM Suite platform, integrating with AWS Cloud Services and the Azure ecosystem, and creating tools to provision and monitor infrastructure. Responsibilities also involve collaborating with cross-functional teams, leading database design and optimization, and building efficient backend services using the Spring ecosystem. The role requires designing and validating parameter-efficient tuning strategies, conducting mathematical analyses for optimization, and developing reinforcement learning reward functions. Additionally, the position entails maintaining and supporting existing systems, enhancing data import functionalities, and developing retrieval APIs. The engineer will also architect and implement scalable frontend applications, conduct code reviews, and mentor junior developers. Finally, the responsibilities include designing and maintaining Embedded Linux software, collaborating with hardware and firmware teams, and ensuring system performance and reliability.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
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Academic degree required as indicated by all job postings
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