You will augment the engineering team to build an agentic workflow-orchestration platform by evaluating infrastructure choices and designing composable workflow steps. You will work under client direction to implement solutions that integrate LLM and AI agent tool-use into platform workflows.
Our client, a 3rd-generation management consulting firm. They are now looking to add to their team and are hiring a Senior TypeScript Backend Engineer can be 100% remote
Project Description Client is building an agentic workflow-orchestration platform in-house, starting with vulnerability discovery as its first workflow. The client's engineering team with two architect-level, hands-on TypeScript engineers plus a part-time solution-partner subject-matter expert, working the priorities the client sets rather than owning delivery of a fixed scope end to end.
Tech lead or team lead level TypeScript development: writes production code hands-on as a lead, not solely reviewing architecture or delegating implementation.
Direct experience building on workflow/orchestration engines such as Temporal, Dapr, or AWS Step Functions.
Kubernetes or Red Hat OpenShift experience: deployment, scaling, and networking basics.
Enterprise architecture background sufficient to work from a design document and exercise sound, independent judgment in a fast-moving environment where scope is still being designed and priorities may shift.
Nice to have (ideal to have)
Comfort evaluating and comparing infrastructure platforms and making build-vs-buy recommendations.
Experience in regulated or financial-services environments: governance and audit-trail thinking.
Integrate LLM/AI agent tool-use into platform workflows as directed by the client.
Duties to be performed (Details around what the consultant would do on the project)
Augment the client's engineering team building the agentic workflow-orchestration platform, per client direction and prioritization.
Evaluate and recommend workflow/orchestration engine and infrastructure choices.
Design and implement composable, polyglot workflow steps within the orchestration harness.
Environment (Details around what technologies are used at the client)
TypeScript
Temporal or a comparable workflow orchestration engine
Kubernetes or Red Hat OpenShift
Kafka or a comparable message queue/pub-sub system
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