Prompt Engineer @ Invisible | Jobright.ai
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Invisible · 1 week ago

Prompt Engineer

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Data Center AutomationInformation Technology

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Responsibilities

Write and implement prompts for enterprise solutions.
Evaluate prompt outputs at scale.
Work with engineering staff to develop LLM applications.
Discover effective, novel prompting techniques.
Participate in the development of internal prompt engineering tools.
Keep up-to-date with LLM news and prompt engineering techniques.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Prompt EngineeringNatural Language Processing (NLP)Machine LearningPythonRLarge DatasetsJupyterTensorFlowPyTorchReinforcement LearningAI EthicsSoftware Design PatternsCollaboration Skills

Required

Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, AI, or a related field.
5+ years of experience in NLP, AI, or machine learning with a focus on prompt engineering or model fine-tuning.
Experience with Python, R, or other programming languages used for machine learning and AI workflows.
Familiarity with data science tools (e.g., Jupyter, TensorFlow, PyTorch) and working with large datasets.
Proven track record of developing and optimizing prompts to solve complex problems or drive business automation.
Excellent analytical skills with the ability to interpret model outputs and iterate on prompt designs.
Strong communication and collaboration skills, with the ability to work in cross-functional teams.
Proactive problem-solving mindset and the ability to work independently and adapt to a fast-paced, evolving environment.

Preferred

Prior experience working with or for major Big Tech companies on AI projects.
Knowledge of reinforcement learning, human-AI feedback loops, or similar AI training methodologies.
Familiarity with APIs and software integrations for AI applications.
Contributions to open-source AI projects or relevant technical publications.
Familiarity with AI ethics and developing responsible AI systems.
Knowledge of software design patterns and best practices in AI development.

Benefits

Continuous learning and development opportunities, including access to cutting-edge AI technologies.
Direct collaboration with leading developers and engineers from Big Tech companies
Access to cutting-edge AI models and infrastructure
Competitive compensation package
Flexibility to explore innovative ideas and contribute to groundbreaking AI applications

Company

Invisible

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Clients give us complex business problems and we become their operations, automation, and AI partner to deliver operational breakthroughs.

Funding

Current Stage
Late Stage

Leadership Team

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Emily O'Connor
Director of Operations / Chief of Staff to the CEO
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Scott Downes
CTO
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Company data provided by crunchbase
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