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AI/Prompt Engineer - Data Science

Tek Inspirations Pvt. Ltd.
Multiple Locations
3 - 5 Years
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3.9white-divider67+ Reviews

Posted on: 12/11/2025

Job Description

Description :

Title : Senior Platform Engineer (AI Engineer / Prompt Engineer)

Duration : 6+ Months (Contract)

Interview Mode : Skype

Employer : PV W2

Key Responsibilities :


- Design, test, and optimize prompts for Generative AI applications across multiple business use cases.

- Collaborate with data scientists, platform engineers, and risk teams to ensure compliant and scalable AI model deployment.

- Develop reusable prompt frameworks and documentation for consistent enterprise-wide adoption.

- Evaluate prompt effectiveness using A/B testing, BLEU, ROUGE, and human feedback metrics.

- Integrate AI model APIs (OpenAI, Anthropic, Google Vertex AI, etc.) within enterprise environments.

- Identify and mitigate prompt injection risks, ensuring adherence to enterprise AI governance and security standards.

- Continuously iterate on model interaction design for clarity, specificity, and contextual accuracy.

- Partner with cross-functional stakeholders to align AI solutions with business objectives and compliance needs.

Required Qualifications :


- 3+ years of experience in AI/ML, NLP, or Generative AI systems.

- Hands-on experience with LLMs (OpenAI, Anthropic, Google Vertex AI, Claude, etc.

- Strong understanding of prompt-response dynamics, tokenization, embeddings, and semantic similarity.

- Proficiency in Python for automation and API integration.

- Familiarity with JSON for structured outputs.

- Bachelors or Masters in Computer Science, Data Science, Linguistics, or related field.

- Excellent communication and analytical skills ability to bridge technical and business discussions.

- Prior experience in regulated industries such as finance or healthcare.

Core Competencies :


Understanding of LLM Behavior :


- Context window management, token processing, and temperature tuning.

- Knowledge of prompt injection vulnerabilities and mitigation strategies.

Prompt Design & Optimization :

- Expertise in few-shot, zero-shot, chain-of-thought, and role prompting.

- Ability to structure prompts for adaptability and precision.

Evaluation & Iteration :


- Experience designing A/B tests and evaluating prompts using quantitative (BLEU, ROUGE) and qualitative measures.

Ethics & Responsible AI :


- Awareness of bias mitigation, fairness, and safe AI deployment practices.

Preferred Qualifications :


- Experience integrating Retrieval-Augmented Generation (RAG) pipelines.

- Familiarity with enterprise AI governance and model risk management frameworks.

- Hands-on experience working within financial domain environments.


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