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Remote Master Distiller Jobs in New York (NOW HIRING)

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Remote Master Distiller information

What is the difference between Remote Master Distiller vs Remote Brewmaster?

AspectRemote Master DistillerRemote Brewmaster
CredentialsDistillation certifications, chemistry knowledgeBrewery certifications, brewing science degrees
Work EnvironmentDistilleries, laboratories, remote possible for consultingBrewpubs, breweries, remote for consulting
Industry UsageAlcohol production, spirits industryBeer production, craft brewing industry
Common Search/ComparisonYesYes

The Remote Master Distiller and Remote Brewmaster roles both involve expertise in beverage production, with the main difference being the type of product—spirits versus beer. Both roles require specialized knowledge, certifications, and often involve consulting or remote work options. While their industries overlap in alcohol production, their specific skills and certifications differ, making each role unique in the beverage industry.

What does a remote master distiller do?

As a Remote Master Distiller, maintaining production quality and consistency requires leveraging digital monitoring systems, regular virtual meetings with on-site teams, and thorough documentation of all processes. Remote distillers often rely on real-time data feeds from the distillery to track fermentation, distillation, and aging parameters. Regular communication with operations staff is essential to address issues promptly and ensure that recipes and procedures are precisely followed. Building strong relationships with the on-site team and establishing clear protocols for reporting and escalation help overcome the challenges of remote oversight.

What is a remote master distiller?

Remote Master Distillers are experienced professionals in the spirits industry who oversee the production and quality of alcoholic beverages such as whiskey, vodka, or gin from a remote location. They use technology to monitor distillation processes, guide on-site teams, and ensure product consistency without being physically present at the distillery. This role requires deep expertise in distillation, quality control, and often involves virtual collaboration with production staff. The position has become more common with advancements in remote monitoring systems and digital communication tools.

What are the key skills and qualifications needed to thrive as a remote master distiller?

To thrive as a Remote Master Distiller, you need deep expertise in distillation processes, chemistry, quality control, and a relevant degree in food science, chemistry, or a related field. Familiarity with distillation equipment, remote monitoring systems, and quality assurance protocols is essential. Strong communication, problem-solving, and leadership skills are vital for managing production teams and maintaining product consistency from a distance. These skills ensure the efficient production of high-quality spirits and uphold brand standards, even when working remotely.
What cities in New York are hiring for Remote Master Distiller jobs? Cities in New York with the most Remote Master Distiller job openings:
Remote Master Distiller jobs near you
Infographic showing various Remote Master Distiller job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

Senior Forward Deployed Engineer, Agentic AI & RAG

Braintrust

Manhattan, NY • Remote

$63 - $84/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Company
Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams. Job description
About the Role

Lead the architecture and delivery of production Agentic AI and enterprise knowledge solutions for strategic customers. This role combines hands-on engineering, solution architecture, customer partnership, and delivery leadership across complex enterprise environments.

This is a remote U.S. contract role. Texas-based candidates are preferred, and the work requires up to 25% travel for customer engagements.

What You'll Do
  • Translate ambiguous customer needs into scalable technical plans and successful AI deployments.
  • Architect, prototype, implement, and optimize customer-specific applications on an Agentic AI platform.
  • Build enterprise data pipelines, system integrations, multi-agent orchestration, RAG workflows, platform extensions, and production-grade AI services.
  • Lead technical solution design with customers and partner closely with Product, Platform Engineering, and other cross-functional teams.
  • Improve post-deployment reliability, observability, performance, adoption, and reusable delivery practices.
Requirements
  • 6+ years of engineering experience, including at least 2 years in customer-facing, field engineering, solutions engineering, or forward-deployed engineering roles.
  • Proven experience building and deploying production AI/ML, data-intensive, or enterprise-grade applications.
  • Strong full-stack development experience with Python, Node.js or Go, and React or Vue.
  • Hands-on DevOps experience with Docker, Kubernetes, CI/CD, and cloud-based deployment practices.
  • Experience designing enterprise data pipelines, system integrations, REST APIs, SQL, GraphQL, webhooks, and reusable platform tooling.
  • Strong knowledge of LLMs, prompt engineering and tuning, vector databases, RAG pipelines, and agentic workflows. Relevant tools may include Pinecone, Weaviate, AstraDB, LlamaIndex, Haystack, LangChain, LangGraph, or CrewAI.
  • Ability to lead strategic customer implementations, translate uncertain business needs into actionable plans, and communicate effectively across technical and business stakeholders.
  • An undergraduate, master's, or PhD degree in Computer Science, Data Science, or a related technical field.
Preferred Experience
  • SLM fine-tuning, model distillation, or model optimization.
  • Enterprise Agentic AI delivery, graph databases, multimodal AI, evaluation frameworks, security and guardrails, or GPU infrastructure.
  • Production observability, monitoring, versioning, telemetry, trustworthy AI practices, and post-deployment optimization.
  • Creating reusable technical assets, internal frameworks, documentation, or platform improvements.
Engagement and Selection

This is a full-time contract requiring 40 hours per week during Central Time business hours, with full working-hours overlap. The engagement is expected to begin as soon as possible and continue for at least six months. The selection process includes an initial HR screen, a technical screen, and two client interview rounds.

Compensation

$63-$84 USD per hour.

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