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Remote Large Language Model Llm Jobs in New York

LLM Prompt Optimization - Design, test, and refine prompts to get high-quality outputs from large language models-ensuring results align with customer goals and industry standards. * Customer ...

This role is fully remote, with no regular in-office requirement. The Contributions You'll Make ... Experience with AI/ML frameworks, large language model (LLM) technologies, and modern data ...

Title and Summary Lead Agentic AI Designer Overview Mastercard Services' Operational Intelligence (OI) team is expanding its AI platform with agentic AI and large language model (LLM)-driven ...

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM ...

... and large language model (LLM) usage. ResponsibilitiesData Protection & Governance * Design and operate data loss prevention (DLP) policies across email, endpoints, and cloud services (Microsoft ...

Sr. Technical Architect

New York, NY ยท On-site +1

$160K - $210K/yr

Hands-on experience with generative AI and large language model (LLM) use cases in production * Experience building and scaling a Center of Excellence or establishing architectural standards across a ...

Sr. Technical Architect

New York, NY ยท On-site +1

$160K - $210K/yr

Hands-on experience with generative AI and large language model (LLM) use cases in production * Experience building and scaling a Center of Excellence or establishing architectural standards across a ...

AI & Systems Administrator

New York, NY ยท On-site +1

$150K - $185K/yr

This includes managing access, usage policies, and integrations for large language model (LLM) platforms, AI-enabled SaaS applications, and internal AI workflows. You will partner closely with IT to ...

Machine Learning Engineer

New York, NY ยท On-site +1

$209K - $250K/yr

Agentic systems, including Large Language Model (LLM) code generation and tool utilization. The anticipated base salary range for this position is $209,000 to $250,300 . Final base salary for this ...

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Remote Large Language Model Llm information

What is a remote large language model LLM?

A Remote Large Language Model (LLM) job involves working with advanced AI models, like GPT or similar, from a remote location. Professionals in these roles may develop, train, fine-tune, or implement large language models for various applications such as natural language processing, chatbots, or content generation. Remote LLM jobs can include positions like machine learning engineer, research scientist, or AI product manager. The work typically requires strong programming skills, experience with AI frameworks, and the ability to collaborate virtually with global teams.

What are the key skills and qualifications needed to thrive as a remote large language model LLM engineer?

To thrive as a Remote Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, typically supported by a relevant degree and experience with large-scale models. Proficiency with programming languages like Python, deep learning frameworks such as PyTorch or TensorFlow, and familiarity with cloud platforms and distributed systems are essential. Excellent problem-solving, communication, and collaboration skills are critical for remote teamwork and translating complex requirements into scalable solutions. These skills ensure the effective development, deployment, and maintenance of advanced language models in fast-evolving, distributed environments.

How does a remote large language model LLM engineer typically collaborate with cross-functional teams while working remotely?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers through virtual meetings, collaborative coding platforms, and shared documentation tools. Regular communication is key, with daily stand-ups or weekly syncs to align on project goals, update progress, and address challenges. They may also participate in code reviews, contribute to design discussions, and support model deployment efforts, all within a distributed team environment. This remote structure encourages self-motivation and proactive communication to ensure project success.

What is the difference between Remote Large Language Model Llm vs Data Scientist?

AspectRemote Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentPrimarily remote, focused on developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and generating insights
Employer & Industry UsageTech companies, AI research labs, startups working on NLP productsTech firms, finance, healthcare, marketing, and research organizations

While both roles involve data and machine learning, a Remote Large Language Model Llm specializes in developing and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various domains.

What are the most commonly searched types of Large Language Model Llm jobs in New York?

The most popular types of Large Language Model Llm jobs in New York are:

What are popular job titles related to Remote Large Language Model Llm jobs in New York?

For Remote Large Language Model Llm jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Large Language Model Llm jobs in New York look for?

The top searched job categories for Remote Large Language Model Llm jobs in New York are:

What cities in New York are hiring for Remote Large Language Model Llm jobs?

Cities in New York with the most Remote Large Language Model Llm job openings:

AI Prompt Engineer / AI Application Engineer

Afficiency

Manhattan, NY โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

Company Description

Afficiency is a rapidly growing Insurtech startup whose mission is to provide life insurance to everyone on the platforms they already trust. Located in NYC, we design life insurance products that can be purchased entirely digitally and can be easily embedded into distribution platforms or with agents who sell insurance. The company is experiencing rapid growth and is well-funded. We are looking for new team members to join us on our journey to shake up the life insurance industry. We need individuals who bring passion, curiosity, and a desire for excellence. 

Job Description

We are seeking a highly skilled AI Prompt Engineer / AI Application Engineer to design, develop, and deploy AI-driven digital solutions for Life Insurance business applications. The ideal candidate will possess strong full-stack development expertise along with hands-on experience in AI technologies, agentic workflows, prompt engineering, and Large Language Model (LLM) integrations. 

This role will focus on building real-time AI-powered applications that enhance customer experience, underwriting, servicing, claims processing, agent productivity, knowledge management, and operational efficiency. 

The successful candidate will work closely with business stakeholders, solution architects, data engineers, and digital product teams to deliver enterprise-grade AI solutions. 

This role is for someone who is based in the NYC Metro Area, passionate about building real-world GenAI applications and bringing them into production, while continuously improving performance, reliability, and user outcomes. 

Qualifications

Responsibilities

AI & Prompt Engineering 

  • Design, develop, and optimize prompts for Large Language Models (LLMs) including OpenAI Codex, GPT, Claude, Gemini, and other enterprise AI platforms. 

  • Build AI-powered workflows, copilots, virtual assistants, and intelligent agents for insurance business processes. 

  • Develop Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories and policy documentation. 

  • Implement prompt testing, evaluation, and optimization frameworks to improve accuracy, consistency, and reliability. 

  • Design agent-based solutions using tools, skills, plugins, function calling, workflows, and orchestration frameworks. 

  • Create reusable prompt libraries and AI solution accelerators. 

  • Monitor AI performance metrics and continuously improve model outcomes. 

Application Development 

  • Design and develop modern web applications using React.js and related frontend technologies. 

  • Build RESTful APIs and microservices using Python Flask. 

  • Integrate AI services into enterprise digital applications. 

  • Develop real-time applications supporting customer service, underwriting, policy servicing, and claims workflows. 

  • Implement authentication, security, and scalability best practices. 

Data & Integration 

  • Connect AI applications to enterprise systems through APIs and service layers. 

  • Work with structured and unstructured data sources supporting AI use cases. 

Architecture & Delivery 

  • Participate in AI solution architecture and technology selection. 

  • Conduct proof-of-concepts and rapid prototypes. 

  • Collaborate with cloud, data, and application teams. 

  • Follow DevOps, CI/CD, and Agile development practices. 

  • Maintain documentation, technical specifications, and AI governance controls

Education 

  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or related discipline. 

Experience 

  • Minimum 4+ years of software engineering experience. 

  • Minimum 2+ years developing AI-powered applications or Generative AI solutions. 

  • Experience in Life Insurance, Financial Services, or regulated industries is highly preferred. 

Technical Skills / Exposure 

  • Front-End Development 

  • React.js 

  • JavaScript / TypeScript 

  • HTML5 / CSS3 

  • Responsive UI development 

  • Backend Development 

  • Python 

  • Flask API Development 

  • REST APIs 

  • Microservices Architecture 

  • Database Technologies 

  • SQL Server, PostgreSQL, MySQL, or Oracle 

  • Database design and optimization 

  • Query performance tuning 

  • AI & Generative AI 

  • Prompt Engineering 

  • Large Language Models (LLMs) 

  • OpenAI GPT/Codex 

  • Anthropic Claude 

  • Google Gemini 

  • AI Agents and Agentic Workflows 

  • RAG (Retrieval Augmented Generation) 

  • Vector Databases 

  • Embeddings 

  • Fine-Tuning Concepts 

  • Model Evaluation Techniques 

  • Tool Calling and Function Calling 

  • AI Frameworks & Tools 

  • Claude (co-work, code and design) 

  • Microsoft Copilot Studio 

  • AI Skills and Plugin Development 

  • Workflow Orchestration Frameworks 

  • Cloud & DevOps 

  • Git/GitHub 

  • Azure DevOps 

  • CI/CD Pipelines 

Desired Competencies 

  • Strong analytical and problem-solving abilities. 

  • Ability to quickly learn emerging AI technologies. 

  • Excellent communication and stakeholder engagement skills. 

  • Strong understanding of responsible AI practices. 

  • Ability to work independently in a fast-paced environment. 

  • Strong focus on solution quality, scalability, and business outcomes. 


Additional Information

Success Criteria 

Within the first 6 months, the candidate will: 

  • Deliver production-ready AI-powered digital applications. 

  • Build reusable prompt engineering frameworks and AI accelerators. 

  • Develop real-time AI agents supporting insurance operations. 

  • Improve operational efficiency and customer experience through Generative AI solutions. 

  • Establish best practices for AI application development, governance, and monitoring. 

Benefits 

  • Competitive salary with equity options 

  • Robust health, dental, and vision benefits for employee and dependents 

  • 401k matching contributions 

  • Generous PTO policy 

  • Provided work-from-home equipment  

Afficiency is an Equal Opportunity Employer. All your information will be kept confidential according to EEO guidelines.