Senior Staff GenAI Platform Engineer

Job not on LinkedIn

🕒 February 17

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Clarity AI

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

🤖 Artificial Intelligence

☁️ SaaS

💸 Finance

💰 $50M Venture Round - Clarity AI on 2021-12

Artificial Intelligence • SaaS • Finance

<company_name> is an AI-native platform providing extra-financial intelligence to financial institutions, corporations, governments, and retail platforms. It combines proprietary data collection, AI-powered processing, and expert validation to deliver transparent, explainable ESG, climate, risk, and impact insights at scale. Clarity AI offers modular SaaS products, APIs, datafeeds, and custom solutions for portfolio management, risk and compliance, reporting, and impact investing.

📋 Description

• GenAI Platform Engineering: Designing and developing the core platform that enables the efficient deployment, scaling, and management of LLMs and multi-agent systems. • Infrastructure for Agents: Building specialized infrastructure to support long-running agentic workflows, including state management, tool-calling interfaces, and complex reasoning loops. • High-Scale Productionization & Model Serving: Scaling inference for LLMs to handle global demand while optimizing for latency, throughput, and cost. Implement standard batch and online serving with controlled rollback. • Build & Delivery: Establishing the "Golden Path" for model deployment through a self-service path to move code, data, and models to production safely and reproducibly, including automated evaluation frameworks, safety guardrails, and CI/CD/CT pipelines. • Strategic Vision & Product Management: Continuously monitoring the AI ecosystem and proactively evolving our platform to maintain a competitive edge. This includes adopting best practices in Platform Product Management and driving the adoption of golden-path solutions. • End-to-End Observability: Implementing deep observability for LLMs, tracking not just system health but providing unified visibility into health, impact, and root cause across data, ML, and GenAI (including model hallucinations, token usage, and RAG performance). • Collaborative Foundation: Providing the tools and abstractions that allow Data Scientists and stakeholders to move from a "tuned model" to a "production service" with zero friction.

🎯 Requirements

• LLM & Agent Expertise: Deep, hands-on experience deploying Large Language Models and complex agentic architectures at scale. • GenAI Platform Specifics: Proven experience in implementing Prompt Lifecycle Management (versioning, testing, and deploying prompts as code), an LLM Abstraction Layer (provider-agnostic access), and systems for Cost & Usage Control (visibility and limits on GenAI spend per use case). • Evaluation & Benchmarking Mastery: Expert-level experience building automated evaluation pipelines and frameworks (e.g., Ragas, DeepEval, G-Eval) and implementing LLM-as-a-judge patterns to validate model quality, grounding, and safety in CI/CD. • Platform & MLOps Mindset: A proven track record of building platforms or shared infrastructure. Deep understanding of MLOps concepts like Model Registry (versioning, state management, and lineage) and Model Monitoring & Drift Detection. • 3+ years of experience in MLOps or high-scale Software Engineering with a focus on AI production environments. • Technical Stack Mastery: Expert-level Python and deep experience with container orchestration (Kubernetes, Docker) and cloud infrastructure (AWS/GCP). • AI Tooling & Frameworks: Proficiency with orchestration libraries (e.g., LangChain, LlamaIndex, CrewAI), vector databases (e.g., Pinecone, Weaviate), and inference engines (e.g., vLLM, TGI). • Agility & Adaptability: The ability to learn and implement new technologies in a field that changes weekly. You should be a "fast mover" who enjoys constant evolution. • Software Excellence & Governance: Strong fundamentals in API design, microservices, and "GitOps" methodologies, including the implementation of automated security and compliance by default. • English Proficiency: Excellent communication skills (minimum C1 level), with the ability to articulate technical vision to both engineers and leadership.

🏖️ Benefits

• Competitive compensation, both in terms of base salary as well as equity plans that enable to you to share in our success • Flexibility in ways of working both in terms of your schedule as well as your location, whether you prefer to work from home, the office, or abroad with access to a global network of co-working spaces • Generous paid time off schemes, including vacation, sabbatical, religious observance and compensation days • Meaningful benefits including private healthcare coverage, fitness and wellness programs covered through Wellhub, working-from-home allowances to help you set up your home office and cover monthly expenses • Professional development with annual training budget for conferences, courses, certifications and access to top market e-learning platforms • Collaborative environment with multiple offices around the globe, regular team activities and events as well as employee-led resource groups