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Llm Prompt Engineer Jobs in Alaska (NOW HIRING)

... grade LLM and agentic AI systems that transform claims, risk, and operational workflows. Define ... Define prompt engineering standards and reusable reasoning templates for consistent, domain-aware ...

Senior Engineer - LLMOps & MLOps

Minto, AK · On-site +1

$108K - $148K/yr

You will be responsible for the "Ops" of AI: ensuring that LLM applications, RAG pipelines, and ... Prompt & Model Versioning: Establish rigorous version control for prompts (PromptOps), model ...

Senior Engineer - LLMOps & MLOps

Minto, AK · On-site +1

$108K - $148K/yr

You will be responsible for the "Ops" of AI: ensuring that LLM applications, RAG pipelines, and ... Prompt & Model Versioning: Establish rigorous version control for prompts (PromptOps), model ...

Llm Prompt Engineer information

What is an LLM Prompt Engineer?

An LLM Prompt Engineer is a professional who specializes in designing, testing, and optimizing prompts for large language models (LLMs) such as GPT-4. Their role involves crafting effective instructions and queries to guide the model's output for specific applications, ensuring accuracy, relevance, and reliability. They may also analyze model behavior, implement prompt-based workflows, and collaborate with developers to integrate LLMs into products or services. The goal is to maximize the performance and efficiency of language models in various real-world contexts.

What are the key skills and qualifications needed to thrive as an LLM Prompt Engineer?

To thrive as an LLM Prompt Engineer, you need a deep understanding of natural language processing, prompt engineering strategies, and proficiency in programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), large language model APIs, and version control systems is typically required. Strong analytical thinking, creativity, and effective communication are crucial soft skills for crafting precise prompts and collaborating with cross-functional teams. These skills ensure the development of effective, ethical, and high-performing AI-powered solutions that meet diverse user needs.

What are some common challenges faced by LLM Prompt Engineers when designing effective prompts for large language models?

LLM Prompt Engineers often encounter challenges such as ensuring prompts are both clear and unambiguous to elicit accurate model responses, as well as avoiding bias or unintended outputs. Balancing creativity and specificity in prompt design can be tricky, especially when tailoring prompts for diverse user intents or specialized domains. Additionally, prompt engineers must frequently iterate and test their prompts, collaborating closely with data scientists and product teams to continually refine them based on observed model behavior and user feedback.

What is the difference between Llm Prompt Engineer vs Data Scientist?

AspectLlm Prompt EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; familiarity with NLP and AI toolsBachelor's or higher in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentAI labs, tech companies, startups focusing on NLP and AI modelsData analysis, modeling, and visualization in various industries like finance, healthcare, tech
Employer & Industry UsagePrimarily in AI development, NLP projects, and machine learning teamsAcross industries for data analysis, predictive modeling, and decision support

While both roles involve working with data and AI, Llm Prompt Engineers focus on designing prompts for language models, whereas Data Scientists analyze data to derive insights. The roles share similar educational backgrounds and work environments but differ in their core tasks and industry applications.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize interactions with large language models and AI systems. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, with job growth driven by expanding AI applications across industries.

What are popular job titles related to Llm Prompt Engineer jobs in Alaska?

For Llm Prompt Engineer jobs in Alaska, the most frequently searched job titles are:

What cities in Alaska are hiring for Llm Prompt Engineer jobs?

Cities in Alaska with the most Llm Prompt Engineer job openings:

Full-time

Posted 11 days ago


Job description

About Bering Straits Professional Services, LLC

Bering Straits Professional Services (BSPS) is committed to world-class management of global logistics, training and procurement services for U.S. Government agencies. BSPS is certified by the U.S. Small Business Administration (SBA) as an 8(a) contractor. In February 2022, BSPS became an International Organization for Standardization (ISO) 9001 certified company. BSPS received the ISO 9001 quality standard certification through the Performance Review Institute (PRI).

About this position: AI Software Engineer Location – Anchorage, AK

The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position.

Applicants will be notified via phone or email within ten (10) business days of submittal.

Essential Duties & Responsibilities

  • Responsible for designing, developing, and implementing AI-powered capabilities using Large Language Models (LLMs) across LogIT applications within the portfolio.
  • Responsible for developing and integrating conversational interfaces, copilots, and intelligent assistants into logistics and operational systems.
  • Responsible for building and maintaining retrieval-augmented generation (RAG) pipelines leveraging enterprise data sources, documents, and knowledge bases.
  • Responsible for implementing prompt engineering techniques, guardrails, and orchestration workflows to ensure accurate and secure AI outputs.
  • Responsible for integrating AI capabilities into existing systems using APIs, microservices, and middleware.
  • Responsible for collaborating with Product Owner(s), system engineers, and stakeholders to support implementation of AI use cases across the portfolio.
  • Responsible to attend and participate in daily team meetings, execute assigned workload, and work within project management tools i.e. JIRA, Confluence, etc.
  • Responsible for supporting monitoring, evaluation, and observability of LLM performance and usage.
  • Responsible for adhering to security, data governance, and Responsible AI standards.
  • Responsible for contributing to reusable AI components and shared engineering practices.

Required (Minimum Necessary) Qualifications

  • Education Requirements: Must have a bachelor’s degree or 5-10 years’ equivalent experience.
  • Level of Experience Requirements: Three (3)-Five (5) years of software engineering experience.
  • Experience developing applications using modern programming languages (e.g., .NET, Python, Java, or similar).
  • Experience integrating or working with LLM APIs (e.g., Azure OpenAI, OpenAI, Google Gemini).
  • Hold or have the ability to acquire a government security clearance; requires U.S. citizenship.

Knowledge, Skills, Abilities, and Other Characteristics

  • Knowledge of LLM concepts including prompt engineering, embeddings, and retrieval-augmented generation (RAG).
  • Knowledge of APIs and microservices-based system integration.
  • Familiarity with cloud-based AI platforms.
  • Ability to develop AI-enabled features within LogIT and enterprise systems.
  • Ability to analyze and translate technical and business requirements into functional AI solutions.
  • Ability to evaluate AI outputs and apply improvements for accuracy and reliability.

Preferred

  • N/A

Supervisory Responsibilities

  • This position will not have supervisory responsibilities.

DOT Covered/Safety-Sensitive Role Requirements

  • This position is not subject to federal requirements regarding Department of Transportation “safety-sensitive” functions.

Necessary Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about.

Work Environment

The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role. Employees must always maintain a constant state of situational awareness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Job is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system. The work described herein is primarily a modern office setting. Occasional travel may be required.

Additional Qualifying Factors

As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results. If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations.

Shareholder Preference

BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job.

Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.