Jobs at Kensho Technologies

Build and evaluate machine learning models, agentic systems, LLM applications, and pipeline components under senior-engineer guidance. Interns will gain experience across the ML lifecycle, including problem framing, model selection, development, evaluation, and deployment support. The role involves collaborating with ML Engineers, Product Managers, Designers, and Full-Stack Engineers on scalable AI solutions.

Software engineering interns contribute to production features across Kensho teams, including machine-learning applications, APIs, services, platform abstractions, observability, deployment, and data ingestion systems. Interns participate in code reviews, production deployments, infrastructure as code, testing, documentation, and continuous learning while collaborating with experienced engineers. The role requires algorithm and data-structure knowledge, at least one technical area of expertise, adaptability, and practical projects or open-source experience.

Own AI partnership development from qualification through launch while managing strategic customer accounts. Build partner relationships, coordinate cross-functional sales, product, engineering, legal, and marketing efforts, and drive commercial outcomes. Lead customer adoption, renewals, expansion, trial conversion, and time-to-value for API, enterprise, and developer products. Operate autonomously in ambiguous environments, create new playbooks, resolve engagement issues, and manage senior stakeholder relationships globally.

Design, implement, and scale end-to-end retrieval-augmented generation (RAG) pipelines. Build and optimize retrieval systems, embeddings, vector search, and LLM orchestration. Collaborate with product, design, and MLOps to productionize robust ML systems across large proprietary datasets.

Drive go-to-market strategy and adoption for Kensho AI products by bridging technical AI capabilities and commercial teams. Lead customer demos, technical deep-dives, co-development partnerships, market analysis, and sales enablement while feeding product and strategy teams with market insights to expand revenue and partnerships.

As a Senior Backend Engineer, you will develop APIs, collaborate with various teams, and manage project priorities while ensuring communication is efficient and inclusive.

As a Senior Full-Stack Software Engineer, you will build AI-centric web applications in TypeScript, manage project priorities, and make technology decisions while collaborating with Product and Design teams.