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AI Prompt Engineer

ABHITO LLC
Reston, VA, United States
about 2 months ago
Apply on www.indeed.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source
www.indeed.com

Tech stack

Artificial Intelligence Large Language Models Prompt Engineering Information Technology GPT

Job description

  • Design and iterate on system prompts, few-shot examples, and chain-of-thought frameworks
  • Work with RAG pipelines to improve retrieval accuracy and response quality
  • Evaluate and benchmark AI outputs against defined quality criteria
  • Collaborate with product, engineering, and AI quality teams
  • Document prompt engineering patterns and best practices
  • Support AI Quality practice by diagnosing hallucination and retrieval failures

Requirements

  • 2+ years of experience in prompt engineering or applied LLM work
  • Hands-on experience with Claude, GPT-4, or similar frontier models
  • Familiarity with RAG architectures, vector databases, and embedding strategies
  • Strong analytical thinking and attention to detail
  • Background in linguistics, computer science, or related field preferred

Benefits & conditions

  • Competitive compensation
  • Health, dental, and vision coverage
  • Work at the frontier of enterprise AI

Apply for this position

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Apply on www.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:46 min

Refining complex software instructions using automated prompt engineers

Markus Walker Markus Walker · World Congress 2023

40 sec

Generative pre-trained transformer models powering code completions

lgonta lgonta +1 · World Congress 2024

3:32 min

Fundamentals and limitations of large language models

Krzystof Czieslak · LIVE

1:31 min

The shift from human prompt engineering to AI-generated prompts

Vitaly Friedman Vitaly Friedman · World Congress 2026 Europe

4:56 min

Building agentic workflows using prompt engineering and language models

1:56 min

Mitigating context window limits with prompt engineering

Timo Salm Timo Salm · World Congress 2025

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World Congress 2024 • about 2 years ago

Using LLMs in your Product

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LIVE • over 2 years ago

Creating Industry ready solutions with LLM Models

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Same Words, Different Worlds: Who's in Control? thumbnail
39:03
Europe 2026 Virtual • 2 months ago

Same Words, Different Worlds: Who's in Control?

Christina Rohrmoser, Stefan Wöhrer

Evaluating AI models for code comprehension thumbnail
22:03
World Congress 2025 • about 1 year ago

Evaluating AI models for code comprehension

Merrill Lutsky

Bringing the power of AI to your application. thumbnail
32:26
World Congress 2024 • about 2 years ago

Bringing the power of AI to your application.

Krzysztof Cieślak

AI Prompting for TA and HR: From Beginner to Advanced thumbnail
25:03
World Congress 2025 • about 1 year ago

AI Prompting for TA and HR: From Beginner to Advanced

Alla Pavlova

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