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AI Summary
Build end-to-end internal applications, AI workflows, and durable Temporal-based business processes for Finance and Supply Chain operations. Own the full lifecycle of these systems, including design, implementation, and production support.
This is a remote position.
Supercharge Your Career as a Senior Full-Stack Engineer at Technoidentity!
At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.
Senior Full-Stack Engineer — Python, Temporal & AI Workflows (US)
Technoidentity — Durable Product Engineering®
What’s in it for You?
You'll build internal apps, AI workflows, AI agents, and backend integrations powering Finance and Supply Chain operations for a Tier-1 client. The work spans Python services, React front-ends, API and enterprise integrations, and Temporal-based durable workflows — plus production support for what you ship. This is a hands-on IC role for engineers who move fast, build reliable software, and can drive ambiguous business workflows to done with minimal hand-holding.
Some engineers in this role will be evaluated against the client's own senior engineering standards, so we hire people who can hold that bar.
Requirements
What Will You Be Doing?
- Build internal applications and tools end to end — Python backends, React front-ends, and the APIs between them.
- Design and implement AI workflows and AI agents that automate real Finance and Supply Chain processes.
- Model long-running, stateful business processes as durable Temporal workflows — orchestration, retries, human-in-the-loop steps, exception handling.
- Build backend and enterprise integrations (ERPs, finance/supply-chain systems, third-party APIs, internal services).
- Own production support for your systems: monitoring, debugging, incident response, and iterative hardening.
- Translate ambiguous business requirements into reliable, well-scoped software with limited direction.
Benefits
What Makes You the Perfect Fit?
•5+ years building production software, with strong recent Python (async, typing, testing discipline).
•Solid CS fundamentals — data structures, algorithms, complexity — strong enough to pass a rigorous coding interview.
•Backend and API depth: designing, building, and integrating services; handling failure, idempotency, and data consistency.
•Working React proficiency — can build and maintain functional front-ends for internal tools.
•Proven ability to work through ambiguous business workflows independently and ship reliably and quickly.
•Strong written and verbal communication; comfortable defending design decisions with client engineers.
•Legally authorized to work in the US.
Strongly preferred
- Hands-on Temporal (or equivalent durable-execution engines like Cadence, Step Functions) — understands determinism constraints, activity/workflow boundaries, signals/queries, durable timers, versioning, worker scaling.
- Experience building AI workflows or agents — LLM orchestration, tool/function calling, retrieval, evals, guardrails.
- Finance and/or Supply Chain domain exposure, or experience with enterprise system integrations.
- Production ownership: on-call, observability (logs/metrics/tracing), safe deploys.
What makes a candidate stand out
•Clean, testable, idiomatic code and a high personal quality bar — reviewers rarely need to ask twice.
•Can decompose a vague, open-ended problem into a correct, incremental plan and explain the reasoning clearly.
•Fast learner — picks up unfamiliar codebases, domains, and tools quickly.
•Track record of shipping reliable systems in fast-moving, high-stakes environments.
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