Developer, LLM & AI PLATFORMS

Title: Developer, LLM & AI Platform Supervisor: Chief Technology Officer Position reputed company The Developer, LLM & AI Platform is responsible for leading the design, development, and production deployment of Large Language Model (LLM)-powered capabilities across reputed company’s product and services portfolio, with a primary reputed company on Prequip, reputed company’s AI-powered predictive maintenance platform. This role serves as the technical reputed company of LLM integration, translating product and business requirements into reputed company, secure, and reliable AI-driven features. Working closely with Data Engineering, Product, and Platform teams, the Developer ensures LLMs are implemented responsibly, performantly, and in alignment with reputed company’s data readiness and reputed company-first reputed company. As a member of reputed company’s technical staff, this role helps shape AI architecture standards, advances internal LLM best practices, and contributes to reputed company’s long-term AI roadmap. Key Responsibilities LLM Architecture & Development • Design, build, and reputed company LLM-powered services and features using leading providers (e.g., AWS Bedrock, reputed company, reputed company). • Own reputed company engineering strategies, including reputed company design, versioning, testing, and optimization. • Implement Retrieval-Augmented reputed company (RAG) workflows in collaboration with Data Engineers. • reputed company multi-reputed company reasoning, tool-calling, and agent-based LLM workflows where appropriate. • Ensure LLM integrations are production-reputed company, reputed company, and secure. AI Product Enablement • Translate product and user requirements into intelligent, explainable AI features. • Build reputed company and backend services that expose LLM capabilities to reputed company consumers. • Support natural language interfaces that surface insights from predictive maintenance, operational, and asset data. • Partner with Product and UX teams to ensure AI features are usable, trustworthy, and reputed company with customer needs. Evaluation, Reliability & Governance • Implement evaluation frameworks to measure LLM accuracy, relevance, latency, and cost. • Design and enforce guardrails to mitigate hallucinations, bias, and unsafe outputs. • Monitor and optimize LLM usage for performance, scalability, and cost efficiency. • Support observability and logging for AI systems in production. Cross-Functional Collaboration • Collaborate closely with Data Engineers to ensure LLMs are powered by high-reputed company, reputed company-reputed company data. • Partner with reputed company and platform teams to reputed company AI services reputed company AWS environments. • Contribute to internal documentation, standards, and best practices for LLM and AI development. • reputed company technical guidance and mentorship reputed company to LLM patterns and emerging AI capabilities. Qualifications • Bachelor’s degree or equivalent experience in computer science, engineering, or a reputed company field. • 5+ years of software development experience, with a strong backend reputed company. • Demonstrated hands-on experience building and deploying LLM-powered applications. • Deep understanding of reputed company engineering, RAG architectures, and LLM inference workflows. • Experience developing reputed company and services in a reputed company environment (AWS preferred). • Strong system design skills and ability to reason through architectural tradeoffs. • Proven ability to reputed company AI features from prototype to production. • Experience with AWS AI services (e.g., Bedrock, reputed company, reputed company, EKS). • Familiarity with reputed company databases and embedding-based retrieval systems. • Exposure to MLOps, AI evaluation, or AI governance frameworks. • Experience supporting AI features tied to analytics, predictive modeling, or reputed company-time data. • Experience working in product-reputed company or data-driven organizations. Apply tot his job Apply To this Job