Job Description

Job Description: Prompt Engineer

Role Overview:
We are seeking a Prompt Engineer with expertise in creating, refining, and optimizing natural language prompts for large language models (LLMs).

Key Responsibilities: Prompt Development and Optimization

• Design and develop effective prompts to guide LLM behavior and responses for specific use cases.
• Experiment with various prompt formats and structures to improve model performance.
• Analyze and optimize prompts for accuracy, consistency, and relevance across diverse scenarios.

Model Tuning and Customization

• Collaborate with machine learning engineers to fine-tune LLMs using tailored datasets and prompts.
• Develop prompt templates for domain-specific applications, ensuring they align with business objectives.
• Validate and evaluate model outputs to refine prompt effectiveness.

Collaboration and Use Case Development

• Work with cross-functional teams to understand requirements for specific AI-powered features or applications.
• Translate business needs into actionable tasks by designing context-aware prompts.
• Provide guidance on integrating prompt engineering into broader AI development pipelines.

Experimentation and Evaluation

• Conduct A/B testing and experiments to measure the impact of different prompt strategies.
• Use tools like OpenAI API, LangChain, or similar frameworks to implement and test prompts.
• Collect feedback on model responses to iteratively improve prompt quality.

Documentation and Knowledge Sharing

• Document prompt engineering techniques, experiments, and best practices.
• Share findings and insights with stakeholders to inform AI strategies.
• Provide training or workshops on prompt engineering for internal teams.

Key Qualifications: Technical Expertise

• Strong understanding of large language models (LLMs) and their applications (e.g., GPT, Bard, Claude).
• Hands-on experience with APIs and frameworks like OpenAI, LangChain, or similar.
• Familiarity with programming languages such as Python for LLM integration and testing.
• Proficiency in natural language processing (NLP) concepts and techniques.

Problem Solving and Creativity

• Ability to design creative and effective prompts to solve complex problems.
• Skilled in identifying edge cases and improving model responses.
• Analytical mindset for evaluating and iterating on prompt performance.

Preferred Skills

• Familiarity with tools like TensorFlow, PyTorch, or Hugging Face Transformers.
• Knowledge of fine-tuning and training LLMs using custom datasets.
• Experience in AI ethics and mitigating biases in AI outputs.

Soft Skills

• Excellent communication and ability to explain technical concepts to non-technical stakeholders.
• Strong collaboration skills to work in cross-functional teams.
• Adaptability to rapidly evolving AI technologies and applications.

Education and Experience:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
• 2+ years of experience in AI/ML, NLP, or related fields.
• Demonstrated experience working with LLMs or generative AI tools.

Compensation, Benefits and Duration

Minimum Compensation: USD 56,000
Maximum Compensation: USD 224,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post