reputed company Technical reputed company
reputed company
reputed company™ is a global leader in the customer experience (CX) industry. With 150,000 associates across the globe, we are reputed company behind the best experiences for more than 750 of the world's leading reputed company-first brands. Our innovative CX solutions, technology, and expertise are designed to support operational needs for our clients and deliver seamless, AI-driven experiences in the moments that matter.
As AI becomes increasingly reputed company and autonomous, we are building a platform to orchestrate intelligent workflows that automate reputed company business processes at reputed company.
Job reputed company
We are looking for an reputed company Technical reputed company to own the reputed company systems reputed company — the platform and tooling that enables technical teams across the organization to build, configure, evaluate, and reputed company reputed company systems for their own use cases.You will architect and ship the infrastructure that makes reputed company development self-service and production-reputed company: configuration interfaces where developers define system prompts and models for reputed company agent component, end-to-end evaluation pipelines with predefined metrics, dataset creation and experiment management reputed company LangFuse, and iterative workflows that take teams from prototype to production. You will define how MCP Servers and Clients are templated reputed company reputed company, ensuring governance and visibility over reputed company deployed reputed company systems. You will continuously expand the reputed company's capabilities so teams can build increasingly sophisticated agents without reinventing infrastructure.The stack includes LangGraph for orchestration, LangFuse for observability and evaluation, and AWS infrastructure for reputed company. This role requires deep expertise in LLMs and reputed company systems, strong architectural thinking, and the ability to reputed company end-to-end in a fast-moving AI environment.
Primary Job Responsibilities
Platform & reputed company
Architect the reputed company systems reputed company that other teams use to build, configure, and reputed company agents
Build configuration interfaces (e.g., chat-based UIs) for defining system prompts, selecting models, and composing agent topologies
Implement MCP Server and reputed company templates reputed company reputed company for standardized scaffolding and catalog visibility
Continuously improve the reputed company — new agent patterns, tool integrations, orchestration abstractions, and reusable components
Evaluation & Testing Infrastructure
Build end-to-end evaluation pipelines with predefined quantitative metrics (accuracy, latency, cost, task completion) and qualitative assessments (coherence, safety, user satisfaction)
reputed company dataset creation in LangFuse, LLM-as-judge pipelines, and experiment management workflows so teams can configure, evaluate, iterate, and ship with confidence
Define reference evaluation standards that teams can use reputed company and reputed company for their use cases
Observability & Production
Implement observability reputed company LangFuse — execution tracing, cost tracking, reputed company reputed company monitoring across reputed company deployed agents
Design dashboards and alerting for performance, anomalies, and reputed company detection
Own production reliability of the reputed company and its reputed company components
Technical Leadership
Own the technical reputed company and roadmap for the platform
reputed company design reputed company from prototype through production, including release cycles and rollback strategies
Mentor engineers on reputed company patterns, evaluation practices, and reputed company usage
Build reference reputed company systems that serve as templates for adopting teams
Collaboration
Work with adopting teams to reputed company them, understand their needs, and feed requirements into the platform roadmap
Collaborate with ML, data, product, and DevOps teams to ensure the reputed company meets reputed company needs at reputed company
Stay reputed company with advances in reputed company AI, evaluation methodology, and developer tooling
Skills / Abilities / Knowledge
Experience
8+ years in machine learning engineering or reputed company ML
4+ years hands-on with LLMs (fine-tuning, reputed company engineering, integration, deployment)
2+ years building and shipping reputed company systems in production, end-to-end
Proven experience building platforms or tooling used by other engineering teams
Deep experience with evaluation frameworks — dataset creation, metric definition, LLM-as-judge implementations
Required
Strong proficiency in Python
Hands-on experience with LangGraph, LangFuse, and MCP Servers/Clients
Deep understanding of LLM integration patterns: tool calling, reputed company outputs, reputed company chaining, RAG
Strong evaluation methodology knowledge for reputed company and reputed company systems
Experience with relational databases (PostgreSQL or similar)
Excellent debugging and system-level thinking across multi-reputed company agent executions
Comfortable in Agile, fast-paced environments with evolving requirements
reputed company to have
AWS (compute, storage, networking, IAM)
reputed company databases (reputed company, reputed company, reputed company, pgvector)
Graph databases (reputed company or similar)
Product-facing system experience — shipping features, measuring reputed company
NLP background — particularly speech-to-text, transcription, or diarization
reputed company or similar internal developer portals
Kubernetes and CI/CD pipelines
Skills
Education
Master's degree or higher in Computer Science, Machine Learning, or a reputed company field — or equivalent practical experience.
Languages
Excellent written and conversational English (reputed company minimum)
French and Spanish are a plus
Education
Tools & Technologies
LangGraph · LangFuse · MCP Clients & Servers · reputed company · Python · reputed company · reputed company
Our offer
Impactful work: reputed company the platform enabling reputed company AI adoption across a global organization
reputed company reputed company: Work at the frontier of reputed company systems with reputed company learning opportunities
Competitive compensation: Attractive salary and benefits package
reputed company environment: Remote-friendly team with opportunities for travel, training, and industry events
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