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Job Description: Prompt Engineer Intern

Opening : 02

Company: Timble AI

Location: Delhi (On-site)

Duration: 4 - 6 Months (With PPO potential based on performance)

Department: AI & Product Development

About Timble AI

Timble AI is a fast-growing technology organization pioneering AI-driven financial intelligence, identity verification, and Voice AI solutions. Built on our core philosophy of "Efficiency by Design," we develop enterprise-grade APIs that automate complex business processes. We thrive on a high-energy culture where innovation meets execution.

Role Objective

We are seeking a tech-savvy Prompt Engineer Intern to collaborate with our engineering team. You will be responsible for designing, refining, and optimizing prompts for Large Language Models (LLMs) to improve the accuracy, speed, and reliability of our AI products.

Key Responsibilities

• Prompt Design & Optimization: Craft, test, and fine-tune complex prompts to ensure our AI models deliver precise, context-aware responses.
• UI Integration: Work closely with front-end components using HTML to ensure the AI's output renders beautifully and functions correctly within our user interfaces.
• Model Evaluation: Conduct iterative testing to identify edge cases, reduce AI hallucination, and maintain output consistency.
• Cross-Functional Collaboration: Partner with the data science and core engineering teams to align prompt behavior with backend technical capabilities.
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Requirements & Technical Skills

• Education: B.Tech in Computer Science (CS) or a related technical field.
• Web Basics: Strong fundamental knowledge of HTML (and basic CSS/JavaScript) to structure and present data seamlessly.
• AI Familiarity: A solid understanding of how LLMs (like GPT, Claude, or open-source models) interpret natural language instructions.
• Analytical Mindset: Excellent problem-solving skills to debug why a model failed a specific query and find a logical fix.
• Work Ethic: A strong "hustle" mindset, ready to adapt to a fast-paced environment and maintain high professional standards.

What’s in it for you?

• Direct mentorship from core AI/ML engineers.
• Hands-on experience working on live production models used by enterprise clients.
• A vibrant office environment where creative ideas are put into production quickly.
• Certificate of Internship and a strong consideration for a Full-Time Offer (PPO).

Review Criteria

• Strong AI/ML Test Engineer
• 5+ years of overall experience in Testing/QA
• 2+ years of experience in testing AI/ML models and data-driven applications, across NLP, recommendation engines, fraud detection, and advanced analytics models
• Must have expertise in validating AI/ML models for accuracy, bias, explainability, and performance, ensuring decisions are fair, reliable, and transparent
• Must have strong experience to design AI/ML test strategies, including boundary testing, adversarial input simulation, and anomaly monitoring to detect manipulation attempts by marketplace users (buyers/sellers)
• Proficiency in AI/ML testing frameworks and tools (like PyTest, TensorFlow Model Analysis, MLflow, Python-based data validation libraries, Jupyter) with the ability to integrate into CI/CD pipelines
• Must understand marketplace misuse scenarios, such as manipulating recommendation algorithms, biasing fraud detection systems, or exploiting gaps in automated scoring
• Must have strong verbal and written communication skills, able to collaborate with data scientists, engineers, and business stakeholders to articulate testing outcomes and issues.
• Degree in Engineering, Computer Science, IT, Data Science, or a related discipline (B.E./B.Tech/M.Tech/MCA/MS or equivalent)
• Candidate must be based within Delhi NCR (100 km radius)

Preferred

• Certifications such as ISTQB AI Testing, TensorFlow, Cloud AI, or equivalent applied AI credentials are an added advantage.

Job Specific Criteria

• CV Attachment is mandatory
• Have you worked with large datasets for AI/ML testing?
• Have you automated AI/ML testing using PyTest, Jupyter notebooks, or CI/CD pipelines?
• Please provide details of 2 key AI/ML testing projects you have worked on, including your role, responsibilities, and tools/frameworks used.
• Are you willing to relocate to Delhi and why (if not from Delhi)?
• Are you available for a face-to-face round?

Role & Responsibilities

• 5 years’ experience in testing AIML models and data driven applications including natural language processing NLP recommendation engines fraud detection and advanced analytics models
• Proven expertise in validating AI models for accuracy bias explainability and performance to ensure decisions eg bid scoring supplier ranking fraud detection are fair reliable and transparent
• Handson experience in data validation and model testing ensuring training and inference pipelines align with business requirements and procurement rules
• Strong skills in data science equipped to design test strategies for AI systems including boundary testing adversarial input simulation and dri monitoring to detect manipulation aempts by marketplace users buyers sellers
• Proficient in data science for defining AIML testing frameworks and tools TensorFlow Model Analysis MLflow PyTest Python based data validation libraries Jupyter with ability to integrate into CICD pipelines
• Business awareness of marketplace misuse scenarios such as manipulating recommendation algorithms biasing fraud detection systems or exploiting gaps in automated scoring
• Education Certifications Bachelors masters in engineering CSIT Data Science or equivalent
• Preferred Certifications ISTQB AI Testing TensorFlowCloud AI certifications or equivalent applied AI credentials

Ideal Candidate

• 5 years’ experience in testing AIML models and data driven applications including natural language processing NLP recommendation engines fraud detection and advanced analytics models
• Proven expertise in validating AI models for accuracy bias explainability and performance to ensure decisions eg bid scoring supplier ranking fraud detection are fair reliable and transparent
• Handson experience in data validation and model testing ensuring training and inference pipelines align with business requirements and procurement rules
• Strong skills in data science equipped to design test strategies for AI systems including boundary testing adversarial input simulation and dri monitoring to detect manipulation aempts by marketplace users buyers sellers
• Proficient in data science for defining AIML testing frameworks and tools TensorFlow Model Analysis MLflow PyTest Python based data validation libraries Jupyter with ability to integrate into CICD pipelines
• Business awareness of marketplace misuse scenarios such as manipulating recommendation algorithms biasing fraud detection systems or exploiting gaps in automated scoring
• Education Certifications Bachelors masters in engineering CSIT Data Science or equivalent
• Preferred Certifications ISTQB AI Testing TensorFlow Cloud AI certifications or equivalent applied AI credentials