Senior Forward Deployed Software Engineer (FDSE) with GenAI

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SeniorZdalnieFull-time

#474257·Dodano dziś·2

Źródło: YourITeams

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Tech Stack / Keywords

LLM Python Node.js Java React Angular LangChainSemantic KernelAWS Azure

Podsumowanie oferty

Join the Applied AI Forward Deployed Engineering team to partner with enterprise customers and deliver production-ready, LLM-enabled applications. Lead end-to-end full-stack delivery, using technologies such as Python, React, and LangChain to build solutions and create reusable assets.

Wymagania

At least 10 years of software engineering experience, including at least 2 years in customer-facing or embedded roles.
Backend development experience with one or more of Python, Node.js, or Java.
Frontend experience with modern frameworks such as React or Angular.
Hands-on experience with LLM tooling and patterns, including prompt chaining, vector search, and context management.
Experience designing and implementing APIs (REST/GraphQL), orchestration pipelines, and integrations with vector databases and LLM frameworks.
Cloud and DevOps fluency, with practical knowledge of CI/CD, containers, and infrastructure-as-code on AWS, Azure, or GCP.
Ability to design for performance, reliability, and security in distributed systems.
Strong communication skills and experience working directly with customer stakeholders to translate business needs into technical solutions.
Fluent English.

Obowiązki

Build and deliver production-ready AI solutions: Own end-to-end delivery of LLM-enabled applications in agile sprints, including backend services, data orchestration, LLM pipelines, and front-end integrations; make architecture and implementation decisions for scaled production deployments.
Embed with customers: Work alongside strategic customer teams, diagnose root problems, understand customer context and pain points, identify high-value AI opportunities, and adapt, deploy, and iterate in live environments.
Make technical decisions: Act as the “CTO of the build,” making architecture and implementation decisions.
Engineer across the full stack: Design and implement APIs (REST/GraphQL), orchestration pipelines, vector database integrations, LLM frameworks such as LangChain and Semantic Kernel, and UI components using React and Angular. Integrate with legacy systems and deliver reliably and securely.
Codify reusable assets: Create libraries, SDKs, prompts, scaffolds, and documentation to make successful projects repeatable across customer engagements.
Influence platform and product: Share field-tested insights with platform and product teams to shape internal tooling and contribute to the Now AI Platform roadmap and primitives.
Ensure performance, reliability, and security: Debug distributed systems, tune for latency, and implement monitoring and observability for resilient enterprise systems.
Deploy and operate in the cloud: Use AWS, Azure, or GCP, with CI/CD practices, containers, and infrastructure-as-code.
Provide engineering leadership: Lead implementations from zero to one, build trust with architects, product managers, and customer teams, and balance rapid MVP iteration with long-term scalability.

Benefity

Opportunity to lead complex, high-impact AI projects with strategic enterprise customers and shape product and platform direction.
Work spanning the full stack, advancing practical, production-grade GenAI deployments and reusable engineering assets.
Travel allowance for on-site customer engagements.

Inne informacje

Customer engagements may require on-site work and up to 30% travel.

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