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LLM Prompt Specialist

Bright Vision Technologies

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LLM Prompt Specialist

Bright Vision Technologies · 4 hours ago

Location
United States
Work model
Remote
Job type
Full-time
Salary
$100,000–$150,000 USD
LLM-Prompt-Specialist
Prompt-Engineer
AI-Engineer
Machine-Learning-Engineer
Generative-AI-Engineer
GenAI-Prompt-Specialist
Prompt-Engineering-Specialist
LLM-Prompt-Engineering

Job description

LLM Prompt Specialist – Remote

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: LLM Prompt Specialist
Location: 100% Remote (United States)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience: 6+ years

Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary
We are looking for a Prompt Engineering Architect to define and lead the strategy, patterns, and tooling for designing prompts, agentic workflows, and LLM-based application architectures across the organization. The role combines deep practical mastery of modern LLMs with the discipline of building reusable design patterns, evaluation frameworks, and developer tooling that scale across many teams and use cases. The ideal candidate has shipped LLM-powered products in production, is fluent in prompt design patterns and agent architectures, and brings strong judgment about when and how to apply different LLM techniques responsibly.

Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, or a related field.
  • Six or more years of software engineering experience, with significant time on LLM-based applications.
  • Demonstrated experience shipping LLM-powered products to production.
  • Deep familiarity with modern LLM APIs and agent frameworks.
  • Strong understanding of retrieval-augmented generation, embeddings, and vector databases.
  • Experience designing evaluation pipelines for non-deterministic systems.
  • Strong Python skills and comfort with modern application frameworks.
  • Solid grasp of responsible AI principles, including safety and policy considerations.
  • Excellent written and verbal communication skills.
  • Track record of mentoring engineers and influencing technical direction.
Preferred Qualifications
  • Public writing, talks, or open-source contributions on LLM application development.
  • Experience with multi-agent architectures and complex tool-use systems.
  • Familiarity with fine-tuning workflows and when to choose them over prompting.
  • Exposure to product domains such as customer support, coding assistants, or analytics agents.
  • Experience integrating LLMs into enterprise software systems with strict compliance requirements.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to  or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.

Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

Originally posted on Himalayas

Eligible applicant locations: United States.

How to apply

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