** This is currently an equity-only contracting role. We anticipate securing funding within the next year, at which point we plan to transition to paid salaries with benefits. ***

About Us

Intelligenic is a forward-thinking technology company focused on harnessing the power of artificial intelligence to automate the software development life cycle. We are dedicated to innovation, collaboration, and creating cutting-edge solutions that drive success for our customers. Our team works at the intersection of advanced AI research and practical application, constantly pushing the boundaries of what’s possible with large-scale language models.

Job Description

We are seeking a skilled and motivated NLP Engineer to join our dynamic team. The ideal candidate will have a deep understanding of large language models, extensive experience in natural language processing (NLP), and a proven track record of developing, testing, and refining high-quality prompts that enhance AI model performance. As a NLP Engineer, you will be responsible for designing and iterating on prompts that yield reliable, contextually accurate, and user-aligned outputs. You will play a key role in bridging the gap between user needs and the model’s capabilities, ensuring our AI systems consistently deliver exceptional results.

Key Responsibilities

Design, develop, and refine prompts (including zero-shot, few-shot, and chain-of-thought approaches) to maximize the accuracy, relevance, and usability of AI-generated responses.
Conduct rigorous A/B testing and performance benchmarking of prompt variations, using both quantitative metrics and qualitative feedback.
Work closely with software engineers, UX designers, and product managers to understand user requirements and translate them into effective prompt strategies.
Stay up-to-date with the latest advancements in NLP, large language models (e.g., OpenAI GPT series, Azure OpenAI Service), and prompt engineering techniques. Incorporate new methodologies, best practices, and tooling (e.g., LangChain, vector databases) into the prompt development lifecycle.
Create clear documentation of prompt engineering processes, patterns, and guidelines. Lead workshops or training sessions to elevate the team’s expertise in prompt engineering.
Issue Resolution: Diagnose and troubleshoot issues related to AI output quality, latency, or alignment. Use a systematic approach to identify root causes and deploy iterative fixes.
Quality Assurance: Collaborate with QA and product teams to ensure that prompts deliver consistent and high-quality user experiences across various platforms and use cases.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, Computational Linguistics, or a related field.

Technical Expertise

Strong foundation in NLP and machine learning concepts, with proven hands-on experience.
Proficiency in Python and relevant ML/NLP libraries (e.g., Transformers, spaCy, Hugging Face).
Familiarity with large language models (e.g., OpenAI GPT, Azure OpenAI) and their APIs or SDKs.
Experience with vector search solutions, Microsoft Azure AI services, and MLOps frameworks is a strong plus.
Prompt Engineering Experience: Demonstrated ability to design, iterate, and optimize prompts for language models. Familiarity with prompt templates, prompt chaining, and advanced prompting techniques.
Excellent ability to analyze model outputs, identify gaps, and systematically improve prompt quality. Experience using evaluation metrics (e.g., BLEU, ROUGE, human evaluation) is beneficial.
Strong written and verbal communication abilities, capable of explaining complex technical concepts to both technical and non-technical stakeholders.
Experience or interest in user experience design and human-computer interaction is a plus, ensuring that prompts not only produce accurate responses but also delight end-users.
Legally authorized to work in the in the United States
Does not require sponsorship for employment visa status (e.g. H-1B visa status)

NLP Engineer

Job Type