Prompt Engineer

About Company: Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud,”enabled companies to “spin up their engineering dream team in the cloud” by sourcing and managing vetted global talent. In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.

Job Description: Job Title:

Prompt & Verifier Location: Pan India Experience: 3 + yrs. Employment Type:

Contract to hire Work Mode:

Remote Notice Period: -

Immediate joiners

Role Overview: We are seeking an AI Prompt & Policy Specialist to help design, evaluate, and improve how AI systems interact with tools, APIs, and users across multiple locales. In this role, you will work at the intersection of prompt engineering, policy design, and safety, ensuring that AI-driven workflows are accurate, compliant, and user-friendly. You will use your API/JSON literacy, SQL basics, policy creation skills, and strong critical reasoning to review, refine, and design prompts and behaviors for AI systems interacting with products like Slack, PayPal, and other third-party tools. This role also requires strong communication skills and awareness of safety and content filtering, especially across a wide range of languages and locales.

What does day-to-day life look like?: Design, review, and refine prompts and instructions for AI systems interacting with tools, APIs, and external services. Read and understand API/JSON schemas and arguments to ensure correct parameter usage and tool behavior. Apply SQL basics to validate data, perform simple checks, and support analysis of AI or tool behavior. Create, document, and maintain policies and guidelines governing AI interactions, content handling, and tool workflows. Develop workflow knowledge for specific tools (e.g., Slack, PayPal and similar platforms) and encode that into prompts and policies. Ensure safety and compliance by applying content filtering guidelines and detecting unsafe or non-compliant outputs. Evaluate AI responses for critical reasoning quality, correctness of parameters, and adherence to policies. Support multilingual use cases by validating prompts and responses across multiple locales, with attention to nuance and clarity. Collaborate with product, engineering, and safety teams to iterate on prompts, policies, and workflows based on evaluation findings. Document edge cases, decision rationales, and recommendations with clear, concise written communication.

Requirements: 3–6 years of experience in any combination of: AI operations, content review, QA, product operations, policy, or technical support roles. Strong API / JSON literacy: ability to read schemas, understand arguments, and verify correct parameter usage. SQL basics: ability to run simple queries to validate data, investigate issues, or support analysis. Demonstrated experience with prompt engineering or writing clear, structured instructions for AI or automation systems. Proven policy creation skills: drafting, interpreting, and applying guidelines or policies in an operational setting. Familiarity with tool-specific workflows (e.g., Slack, PayPal, or similar SaaS platforms), including typical user actions and edge cases. Strong communication skills, with the ability to write clear, concise rationales and explanations; comfort working with multilingual contexts across many locales. High safety awareness for content filtering, including sensitivity to harmful, abusive, or policy-violating content. Excellent critical reasoning and judgment, especially when evaluating ambiguous or complex cases. Strong attention to detail, particularly in checking parameters, arguments, and compliance with specified schemas or policies.