NLP Engineer (Natural Language Processing Engineer) Job Description Template

Easily create a great NLP Engineer job post with our ready-to-use template. Perfect for job boards and easy to customize for your needs.
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Responsibilities & Skills

If you’re hiring a specific type of engineering roles, you can use this template as a foundation and customize  it to highlight the responsibilities, skills, and qualifications relevant to that role.

NLP Engineer (Natural Language Processing Engineer) Job Description Template

NLP Engineer (Natural Language Processing Engineer) Job Description Template

Use this template to craft job descriptions for hiring NLP Engineers at various levels. Tailor it to suit your organization’s specific needs.

Job Title: NLP Engineer (Natural Language Processing Engineer)
Location: [Specify Location or Remote]
Job Type: [Full-time/Part-time/Contract]

About the Role

We are seeking a talented NLP Engineer to join our dynamic team and help create innovative solutions that leverage Natural Language Processing. This role will involve designing, building, and optimizing NLP models to solve real-world problems, improve communication systems, and extract insights from unstructured data. You will work closely with cross-functional teams to integrate language models into products and services, driving valuable outcomes.

If you are passionate about language, technology, and building AI-driven solutions, we encourage you to apply.

Responsibilities

  • Design, develop, and deploy NLP models to address diverse business challenges.
  • Work on tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and more.
  • Implement and fine-tune cutting-edge NLP algorithms and approaches, including transformer models such as BERT, GPT, and others.
  • Preprocess and clean large datasets to create training/evaluation pipelines for language models.
  • Develop APIs and deploy NLP-based systems to integrate with existing services and applications.
  • Collaborate with data scientists, machine learning engineers, and software developers to deliver end-to-end solutions.
  • Monitor system performance and optimize model accuracy, efficiency, and scalability.
  • Stay updated with advancements in NLP research and implement state-of-the-art techniques where applicable.
  • Document processes, methodologies, and codebases for collaboration and reproducibility.
  • Adhere to data privacy guidelines while handling sensitive text-based information.

Required Skills & Experience

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience).
  • Proven expertise in Natural Language Processing and working with unstructured text data.
  • Hands-on experience with NLP libraries and frameworks such as SpaCy, NLTK, Hugging Face, or TensorFlow/Keras.
  • Proficiency in programming languages such as Python, with strong knowledge of data manipulation libraries like pandas and NumPy.
  • Thorough understanding of deep learning techniques, including RNNs, LSTMs, and transformers.
  • Familiarity with vector representations of words like Word2Vec, GloVe, or FastText.
  • Experience with cloud platforms (AWS, Azure, or GCP) and containerization tools such as Docker or Kubernetes is a plus.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication skills to effectively interact with technical and non-technical stakeholders.
  • A passion for AI and a commitment to continuous learning.

Why Join Us?

  • Impactful Work: Develop NLP solutions that improve user experiences and solve complex problems.
  • Career Growth: Enhance your expertise through cutting-edge projects and ongoing professional development.
  • Flexibility: Benefit from remote or hybrid work arrangements to support work-life balance.
  • Collaborative Team: Be part of an innovative team that values collaboration and knowledge sharing.
  • Inclusive Culture: Join an organization that values diversity and works to foster an equitable and supportive workplace.

Apply Now

Are you ready to turn text into intelligent systems and insights? Join [Your Company Name] as an NLP Engineer and contribute to building transformative language technologies. Apply today!

Why Job Descriptions Matter More Than You Think

This guide will reveal why software developer job descriptions matter, not just to HR, but to tech leaders, developers, and organizations as a whole. We’ll break down how they influence employer branding in competitive tech markets, hiring quality developers, engineering team engagement, legal compliance, and business innovation. By the end, you’ll see why thoughtful, well-crafted job descriptions matter more than you think.

 

The Role of Job Descriptions

A developer job description is not just a list of technologies and requirements. It acts as the front door to your engineering culture and the blueprint for technical success.


Setting Expectations for Everyone

Developer job descriptions do one thing above all else: they bring clarity. When everyone knows what’s expected from day one, engineering teams function smoothly. Developers understand their responsibilities and tech stack, managers know what to measure, and the company gets a roadmap for technical progress.

A vague or outdated job description creates uncertainty and confusion, leading to mismatched expectations, technical debt, and poor performance.


First Impressions Count for Tech Employer Branding

That well-written developer job post is usually a candidate’s first impression of your engineering culture. According to Stack Overflow’s Developer Survey, over 75% of developers consider company culture important when evaluating job opportunities. The job description doesn’t just sell a role; it tells a story about your tech stack, development practices, and engineering values. Clear, compelling language can help you stand out in a competitive tech job market and attract developers who share your technical vision.


Example

Compare these job descriptions for the same position:


Option A:

Seeking experienced software developer with proficiency in Java, Spring Boot, AWS, and React. Must have 5+ years experience and be detail-oriented.


Option B:

Are you passionate about crafting elegant solutions to complex problems? Join our collaborative engineering team building a platform that serves millions of users daily. You’ll architect microservices using Java/Spring Boot, contribute to our React frontend, and help shape our AWS infrastructure as we scale. We value clean code, thoughtful testing, and continuous learning.


Which engineering team would you rather join?

The Link Between Job Descriptions and Quality Hires

Tech recruitment is expensive and time-consuming. According to Dice, the average time-to-hire for technical positions is 51 days, and the cost of a bad hire can reach $85,000. Vague or inaccurate job descriptions open the door for mismatched technical skills, unrealistic expectations about tech stack familiarity, and quick turnover.

Getting the Right Developers, Not Just Anyone

A targeted, specific job description filters out the noise. It draws in developers with the right technical skills and engineering mindset, while discouraging those who aren’t a fit. The clearer you are upfront about your tech stack, development methodology, and engineering challenges, the more likely you are to attract serious contenders who resonate with your company’s technical needs and developer culture.

What Makes a Job Description Effective

  • Clear, concise technical responsibilities: Developers want precise information about what they’ll actually build day-to-day.
  • Required and preferred technical skills: It’s helpful to separate what technologies are truly needed from “nice-to-haves.”
  • Technical growth opportunities: Top developers want to know they can advance their skills or explore new technologies.
  • Insight into engineering culture: Development methodologies, code review practices, and on-call expectations matter.

Crafting Better Job Descriptions

Given their importance, developer job descriptions deserve more attention than a quick copy-paste of technical requirements. If you manage engineers or recruit technical talent, invest time in making job descriptions accurate, specific, and engaging.

Steps to Writing a Great Job Description

  1. Start with a clear technical job title: Use standard industry terms like “Backend Developer” or “DevOps Engineer” rather than internal titles like “Code Ninja.”
  2. Write a brief but captivating technical overview: Sell the technical challenges and share what makes your engineering problems exciting.
  3. List main development responsibilities in easy-to-scan bullet points: Focus on key coding tasks, technical projects, and technical decision-making authority.
  4. Specify essential and preferred technical qualifications: Separate must-have technologies from nice-to-have experience to avoid overloading requirements.
  5. Describe engineering culture and values: Help the candidate picture themselves as part of your development team, including info about code reviews, pair programming, or DevOps practices.
  6. Include remote work policies or unique aspects: Development work often allows flexibility; be transparent about your approach.
  7. Build in technical growth: Note opportunities to learn new technologies or take on increasing technical complexity.
Key components of a job description
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FAQ

Quick answers to questions you may have. Can’t find what you’re looking for? Check out our full documentation.

What is this Job Description template for?

This template provides a standardized format for creating professional job descriptions that effectively communicate role requirements, responsibilities, and company information to potential candidates. It helps ensure consistency across your organization’s hiring materials while saving time in the recruitment process.

Replace all placeholder text with information specific to your open position. Pay special attention to sections like requirements, responsibilities, and qualifications to ensure they accurately reflect the needs of the role.

Essential sections include:

  • Job title
  • Company overview
  • Position summary
  • Key responsibilities
  • Required qualifications/skills
  • Preferred qualifications
  • Compensation and benefits information
  • Equal opportunity statement

Strong Introduction:

  • Highlight technical challenges and impact
  • Mention key technologies and team culture

Specific Responsibilities:

  • Use concrete examples instead of vague statements
  • Clarify collaboration expectations and decision authority

Clear Requirements:

  • Separate must-have from nice-to-have skills
  • Include both technical and professional qualifications

Showcase Culture:

  • Describe engineering practices (code reviews, pair programming)
  • Highlight growth opportunities and unique developer benefits
  • Include relevant keywords and industry-standard job titles
  • Use common terminology for skills and qualifications
  • Structure your content with clear headings
  • Avoid excessive formatting that might not translate across platforms
  • Ensure mobile-friendly content (concise paragraphs, scannable bullets)