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.
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.