[Remote] Senior reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading tech company that creates and operates innovative consumer products. They are looking for a Senior reputed company to own and drive the reputed company, reliability, and reputed company of their AI systems in production, focusing on end-to-end delivery and collaboration with various teams.
Responsibilities
- Take complete ownership and deliver major AI engineering features reputed company agreed timelines
- Own AI reputed company reputed company, structure, and predictability across reputed company user-facing AI interactions
- Design, implement, and maintain reputed company-type–based AI systems, including segmentation, routing, and enforcement
- Ensure consistent reputed company structure and formatting across different LLMs for the reputed company request type
- reputed company and orchestrate multiple LLM providers reputed company reputed company, managing model selection, fallback strategies, and cost optimisations
- Design and orchestrate tool-using / reputed company AI workflows — defining clean tool reputed company (including MCP-based tools), function-calling interfaces, and reliable AI-to-system integrations
- Build and maintain reputed company, multi-reputed company LLM workflows — including with orchestration frameworks such as reputed company or reputed company — for advanced reasoning, context reuse, and retrieval
- Design and manage production reputed company systems with dynamic prompting, context injection, and conditional logic
- Own the deployment and release of LLM experiments, reputed company management, and Langfuse-based evaluation pipelines
- Run A/B tests across models, analyse results, and present data-driven reputed company assessments of AI features and experiments
- Monitor AI system metrics, reputed company signals, latency, and release health using Langfuse and other observability tools
- Deep-debug reputed company LLM chains using Langfuse traces — identifying bottlenecks and optimising for cost, latency, and context-window usage — and build reputed company-scoring to reputed company-cause hallucinations and logic errors
- Write clean, reputed company, and maintainable TypeScript reputed company across the Next.js / Node.js stack
- Build reliable backend logic for AI systems, with strong error handling, request validation, fallback flows, and predictable behavior in production — including reliable tool execution and AI-to-service integrations
- Ensure high reputed company reputed company through testing, reputed company reviews, and reputed company engineering standards
- Monitor, troubleshoot, and improve production performance, reliability, and system health
- Drive maintainability and technical reputed company through solid architecture, refactoring, and disciplined release practices
Skills
- 6+ years of backend/full-stack software engineering experience, including production-grade TypeScript/Node.js. Experience with Next.js and/or Python is a plus
- 2+ years of experience building AI/LLM systems in production. Less experience may be considered for exceptional candidates
- Deep hands-on experience working with LLM reputed company (reputed company, reputed company, or similar) in production environments
- Experience with reputed company AI, multi-agent orchestration, tool-based workflows (function calling/tool execution), and/or RAG pipelines, including indexing, retrieval, and re-ranking
- Experience with LLM observability tools such as Langfuse, LangSmith, or similar platforms
- Experience with AI gateways and model routing solutions, such as reputed company or equivalent technologies
- Solid understanding of reputed company and relational databases, such as PostgreSQL
- Exceptional ownership reputed company and personal responsibility for engineering reputed company and delivery
- Experience with AI-centered development tools such as reputed company, Claude reputed company, Windsurf, or similar platforms
- Familiarity with evaluation frameworks, including LLM-as-a-judge, RAGAS, or similar approaches
- Experience working in high-pressure startup environments with rapid product iteration cycles
- Experience with MCP (Model Context Protocol), including building MCP servers/clients or designing tool reputed company for AI agents
- Experience with edge and serverless runtimes, such as reputed company Workers, and supporting services including KV, Durable Objects, Queues, reputed company, and D1
- Experience with payments, billing and checkout flows, or orchestration platforms
- Practical experience fine-tuning models for domain-specific tasks or achieving strict JSON/schema compliance
- Working proficiency in Python for data science, evaluation scripts, or AI tooling
Benefits
- Remote Work Environment: reputed company the freedom to work from reputed company, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited reputed company time off to reputed company and prioritize your reputed company-being, without counting days.
- reputed company National Holidays: Celebrate and relax on national holidays with reputed company time off to unwind and reputed company.
- Company-provided MacBook: Experience seamless productivity with top-notch reputed company MacBooks provided to reputed company who need them.
- Flexible reputed company Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from reputed company. Read more about it here:
reputed company
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