Raynmaker ยท 1 day ago
Senior Data / ML / AI Engineer
United States
Full-time
Remote
Senior Level
7+ years expRaynmaker.ai is an AI-native sales engine dedicated to empowering small and mid-sized businesses. The Senior Data / ML / AI Engineer will architect and build the intelligence layer of the autonomous sales platform, focusing on designing and optimizing ML systems for real-time customer interactions and business outcomes.
Computer Software
Hiring Manager
John Gaona
Responsibilities
Design, develop, and optimize RAG pipelines with high-performance vector databases (Milvus, Zilliz, Pinecone, Weaviate)
Build scoring, ranking, and predictive models that drive real-time decision-making for sales and customer interactions
Develop and refine agent-driven architectures, including tool calling, memory management, and multi-step reasoning flows
Deploy, fine-tune, and optimize custom LLMs, ensuring cost efficiency and performance at scale
Enrich internal knowledge bases and embeddings using advanced ML techniques
Build large-scale data ingestion, transformation, and real-time streaming pipelines for model training and inference
Implement reinforcement learning systems that improve agent behaviors over time
Own ML model lifecycle: development, evaluation, deployment, optimization, and monitoring
Drive LLM cost optimization, including token efficiency, caching, and inference routing
Architect and maintain microservices exposing ML/LLM capabilities through secure APIs
Work with real-time systems: voice, streaming, WebSockets, and other live interaction pipelines
Ensure multi-tenant data isolation, configuration management, and performance scaling
Collaborate cross-functionally to define data contracts, agent flows, and platform intelligence requirements
Qualification
Required
7+ years of ML Engineering experience in production environments
Expert-level Python for ML workflows, backend services, and data pipelines
Strong experience with vector databases (Milvus, Zilliz, Pinecone, Weaviate)
Experience building and deploying reinforcement learning systems
Deep hands-on experience with LLMs, RAG, prompting, scoring models, and tool calling
Experience with LangChain / LangGraph and modern LLM orchestration frameworks
Proven ability to design and optimize large-scale ML data pipelines
Production experience with real-time systems (voice, streaming, WebSockets)
Proficiency with SQL and NoSQL databases
Strong understanding of microservices architecture, distributed systems, and event-driven workflows
Proficiency with Docker & Kubernetes for deployment and orchestration
Experience delivering custom LLM deployments in production
Ability to collaborate with engineering leadership and turn concepts into shipped capabilities
Preferred
Experience with streaming data systems (Kafka, Kinesis, Pulsar)
Experience with model monitoring, drift detection, and automated evaluation
Background with AWS ML stack (SageMaker, Bedrock, EKS, Lambda)
Experience with model compression, quantization, or accelerated inference
Familiarity with CRM data patterns or real-time ingestion (Salesforce, HubSpot, Zoho)
Company
Raynmaker
Raynmaker is redefining sales for small and medium-sized businesses with an enterprise-grade, end-to-end autonomous platform.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase