Jobs at Kensho Technologies

Design, build, and productionize agentic AI systems including LLM orchestration, retrieval, and evaluation. Work across the ML lifecycle from experimentation to deployment and monitoring, leverage proprietary structured and unstructured financial data, and collaborate with data, product, design, and MLOps teams to deliver scalable, robust agentic solutions.

Design, build, and productionize agentic AI systems and retrieval pipelines for financial data. Participate across the ML lifecycle: framing, experimentation, deployment, monitoring, and evaluation. Collaborate with cross-functional teams to integrate proprietary structured and unstructured data, improve agent performance, and automate MLOps workflows for scalable, robust AI-driven products.

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.

Design, build, and scale production RAG systems and retrieval pipelines integrating chunking, embeddings, vector databases, and LLM orchestration. Optimize vector search, indexing, and evaluation; collaborate with product, design, and MLOps to deploy and maintain end-to-end ML solutions.

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.

Drive market expansion and adoption of Kensho's AI products by bridging technical AI capabilities and commercial strategy. Lead go-to-market planning, customer demos, co-development partnerships, market analysis, sales enablement, and cross-functional alignment to translate customer needs into product and roadmap priorities.

Design and build AI-centric full‑stack TypeScript web applications (SPAs and APIs). Collaborate on product and architecture, own technical decisions, mentor peers, perform code reviews, and manage project priorities and deliverables.

The Senior Backend Software Engineer develops secure APIs utilizing Kensho's AI capabilities, collaborates across teams, and mentors colleagues while managing project deadlines and deliverables.

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.

As an MLOps Engineer II, you'll enhance ML workflows, support engineers, improve model deployment processes, and advocate for best practices across teams.

As an MLOps Engineer at Kensho, you will develop tools and processes for ML workflows, assist ML engineers, and drive adoption of best practices across teams.

As a Backend Software Engineer II, you will design and develop software, collaborate on APIs, and improve system performance while sharing knowledge within the team.

As a Backend Software Engineer II, you will design and develop APIs, collaborate with teams, and enhance the software lifecycle. You will work with stakeholders to shape system architecture and improve overall software performance.