Описание
Whitehall Resources currently require an experienced AI Engineer to work with a key client.
Задачи
•Own end-to-end delivery of LLM-enabled applications in agile sprints, spanning backend services, data orchestration, LLM pipelines, and front-end UI
•Act as the "CTO of the build," making architecture and implementation decisions
•Ensure solutions convert into scaled production deployments
•Work side-by-side with strategic customer teams, often onsite (up to 30% travel)
•Diagnose root problems, understand context and customer pain points, and identify high-value AI opportunities
•Adapt, deploy, and iterate in live environments
•Build APIs (REST/GraphQL), orchestration pipelines, vector DB integrations, LLM frameworks (LangChain, Semantic Kernel), and UI components (React/Angular)
•Integrate with legacy systems and navigate ambiguity while shipping safely at speed
•Create libraries, SDKs, prompts, scaffolds, and documentation that can be reused across customer engagements
•Turn each successful project into a repeatable pattern
•Share field-tested insights with platform and product teams
•Shape internal tooling and contribute to the Now AI Platform roadmap and primitives
•Debug distributed systems, tune for latency, and implement monitoring and observability
•Deliver resilient, secure systems suitable for high-stakes enterprise contexts
•Use AWS, Azure, or GCP with CI/CD, containers, and infrastructure-as-code
•Lead implementation from zero to one, earning trust from architects, PMs, and customer teams
•Balance product sensibility (user value, MVP iteration) with long-term scalability
Требования
•Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
•Relevant experience: 8+ years of software engineering, including 2+ years building systems in customer-facing or embedded roles
•System architecture: Proven ability to design and implement AI-native software in production environments
•Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL)
•LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management
•Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring
•Platform mindset: Can contribute to shared SDKs and tools, raising engineering velocity for the whole org
•Product sensibility: Prioritize for user value, MVP iteration, and long-term scale
•DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code
•10+ years of software engineering experience (2+ in customer-facing or embedded roles)
•Backend (Python, Node.js, Java) and frontend (React, Angular) strength
•Hands-on LLM tooling: prompt chaining, vector search, context management
•Cloud and DevOps fluency
Условия
Условий в вакансии нет
