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Protocol Intelligence
Data-driven signals on your job's competitivenessModerately competitive: metro location, popular ML title, but LLM/NLP specialization narrows applicant pool.
Medium sensitivity: specialized NLP/LLM skills bias industry fit, while core ML engineering skills remain transferable.
Medium strictness due to mandatory NLP/LLM expertise and evaluation pipeline experience but no explicit years requirement.
Job Description
Structured overview of role & requirementsAbout This Role
Build workflows and agentic pipelines for complex analytical workloads involving LLM based code-generation, document understanding, context synthesis, and LLM based agents.
Design evaluation frameworks and conduct evaluations of the query processing engine to measure performance and effectiveness.
Collaborate closely with customers and founders to define product and engineering roadmap and influence company engineering culture and technology stack.
Minimum Requirements
Bachelor's or Master's degree in Computer Science or a related field required.
Strong analytical skills with demonstrated ability to solve challenging NLP problems.
Experience with search/retrieval, LLMs, and evaluation pipelines is a plus but not mandatory.
Experience working in startup or fast-paced teams is highly desirable. Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Expertise in NLP and machine learning focused on complex analytical and language model workloads related to code generation and document understanding.
Comfortable operating in dynamic startup environments with a strong orientation toward customer trust and results-driven approaches.
Able to partner directly with customers and company leadership to shape product and technical strategy, emphasizing transparency and first principles thinking.