Quantiphi

Quantiphi

Architect MLE

USA - Remote · Senior

Sponsorship not specifiedDetected 30 days ago
PythonReactFastAPIDistributed SystemsGitSnowflakeVector DatabasesAWSGCPAzureCloud PlatformsDockerKubernetesTerraformCI/CDGitHub ActionsJenkinsDevOpsMachine LearningTensorFlowPyTorchData EngineeringNLPLLMs

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • You will be responsible for creating scalable, robust agentic workflows using cutting-edge frameworks like CrewAI/Langraph, while ensuring enterprise-grade deployment on major cloud platforms.
  • Hierarchical and collaborative multi-agent structures with well-defined agent roles, responsibilities, and communication protocols
  • Dynamic task decomposition, sophisticated tool integration, planning mechanisms (ReAct), and self-correction loops

Responsibilities

  • Develop state management systems and memory mechanisms for persistent agent interactions
  • Create and maintain comprehensive tool libraries for agents including API integrations, database queries, and external service connections
  • Design and implement RAG systems using vector databases (Pinecone, Weaviate, ChromaDB)
  • Develop custom tools and plugins that enable agents to interact with various enterprise systems and APIs
  • Implement comprehensive monitoring and tracing systems for agent behavior, performance, cost optimization, and latency analysis
  • Design novel evaluation frameworks to assess multi-step agentic task success, reliability, and accuracy
  • Architect & Build Agentic Systems: Design and develop end-to-end multi-agent systems from scratch.
  • You will create the foundational agent harnesses, define communication protocols, and build orchestration layers using frameworks like CrewAI, Langgraph, and AutoGen.
  • Engineer Advanced Agent Capabilities: Develop custom agent-tools and define specialized agent-skills that empower agents to perform complex, domain-specific tasks.
  • Pioneer Context Engineering: Implement advanced context engineering and memory systems to ensure agents maintain state, learn from interactions, and make informed decisions in dynamic environments.

Requirements

  • Programming & ML: Expert-level Python proficiency with ML frameworks (TensorFlow, PyTorch, Transformers).
  • Experience with FastAPI, async programming, and microservices architecture
  • Data & Vector Systems: Hands-on experience with vector databases (Pinecone, Weaviate, ChromaDB) and building scalable RAG systems
  • Monitoring & Observability: Experience with LLM application monitoring tools (LangSmith, Weights & Biases, custom telemetry solutions)
  • Cloud Platform Expertise: Production-level experience with at least one major cloud platform (AWS, GCP, or Azure), including:

Skills

  • Compute services (EC2, GCE, Azure VMs)
  • Serverless functions (Lambda, Cloud Functions, Azure Functions)
  • Container orchestration (EKS, GKE, AKS)
  • Managed AI/ML services (SageMaker, Vertex AI, Azure ML)
  • Experience with prompt engineering techniques, fine-tuning SLMs (PEFT, SFT, RLHF), and model optimization
  • Knowledge of distributed systems, message queues, and event-driven architectures for agent coordination
  • Familiarity with SDLC best practices, version control (Git), and agile development methodologies
  • Experience with tool-calling agents, multi-step workflows, and stateful orchestration (e.g. graphs, planners, routers).
  • Online evals, drift thinking, and clear quality gates before or after deploy (thresholds, alerts, rollback criteria).
  • Exceptional problem-solving and analytical thinking with ability to tackle complex, ambiguous challenges
  • Strong communication skills to explain complex agentic concepts to both technical and non-technical stakeholders
  • Leadership mindset with experience mentoring team members and driving technical excellence

Benefits

  • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.

Company info

  • Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation.
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This listing is sourced directly from Quantiphi's careers page and normalized into a canonical job model.