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Senior Full Stack Software Engineer (Gen-AI / LLM Pipelines)

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AI Summary

Build and scale end-to-end features for an enterprise-grade Agentic-AI platform. Design secure, multi-tenant SaaS architectures and mentor team members.

Key Highlights
Build end-to-end features using React/TypeScript, Python/Node.js, and APIs
Design multi-tenant SaaS architectures on AWS, integrating vector DBs and LLM orchestration
Automate CI/CD, testing, monitoring, and high-availability deployments
Technical Skills Required
React TypeScript Python Node.js AWS OpenAI LangChain vector stores
Benefits & Perks
H1B sponsorship

Job Description


Customer - Our customer has built an enterprise grade Agentic-AI based platform to de-risk, optimize and rationalize the entire application portfolio, by offering actionable insights


Job Title - Full Stack Software Engineer - (Gen‑AI / LLM pipelines)


Location - Fremont, California, United States


Type - Fulltime


H1B sponsorship available


What You’ll Do

  • Build end‑to‑end features: React/TypeScript UI, Python/Node micro‑services, APIs, and event‑driven data flows.
  • Architect for scale & security: Design multi‑tenant SaaS on Cloud, integrate vector DBs/LLM orchestration, and enforce best‑practice security & privacy controls.
  • Own DevOps: Automate CI/CD, testing, monitoring, IaC and high‑availability deployments.
  • Accelerate customer pilots: Stand up secure environments, wire data connectors, and iterate to production‑ready value in weeks.
  • Collaborate cross‑functionally: Translate product concepts and customer pain points into clear technical roadmaps and pragmatic sprints.
  • Mentor & elevate: Document decisions, establish code quality guidelines, and coach future teammates as the company scales.


Ideal Profile

  • 5‑10 years shipping production SaaS or enterprise software; comfortable owning green‑field architecture.
  • Mastery of modern front‑end (React/Next, TypeScript) and back‑end (Python/Node/Go, micro‑services) stacks.
  • Proven experience integrating Gen‑AI / LLM pipelines (OpenAI, LangChain, vector stores) into real products.
  • Deep fluency in cloud‑native design on AWS, including security hardening, observability, and cost optimization.
  • Hands‑on success with enterprise integrations (IDP/SAML/OIDC, ITSM, ERP, CMDB, ticketing, data warehouses).
  • Startup mindset: bias to action, comfort with uncertainty, obsessive about shipping value fast.
  • People‑centric leader who has managed or technically led small teams and enjoys rolling up sleeves as an individual contributor.


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