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prompt engineer

Swastika Web Technology

We are hiring a Prompt Engineer to work on AI-driven solutions for a fashion e-commerce environment. This role focuses on designing, testing, and optimizing prompts for large language models (LLMs) to generate accurate, consistent, and business-ready outputs.The ideal candidate has hands-on production experience with LLMs, not just experimentation, and understands how AI outputs impact real-world business metrics such as conversion, content quality, and customer experience.Key Responsibilities<ul><li>Design, test, and optimize prompts for:</li><li>Product descriptions and SEO-friendly content</li><li>Customer support responses (FAQs, sizing guidance, return policies)</li><li>Marketing content (email campaigns, ads, WhatsApp promotions)</li><li>Create prompts that generate structured and consistent outputs (JSON / schema-based formats)</li><li>Test and refine prompts across multiple fashion product categories</li><li>Reduce hallucinations and improve accuracy using constraints, prompt chaining, and validation techniques</li><li>Collaborate closely with AI developers and backend engineers to integrate prompts into APIs and workflows</li><li>Continuously improve prompt performance using feedback, analytics, and business KPIs</li></ul>Required Skills &amp; Experience<ul><li>1&ndash;3 years of hands-on experience working with LLMs (OpenAI, Gemini, Claude, etc.)</li><li>Strong understanding of:</li><li>Prompt engineering best practices</li><li>Few-shot and zero-shot prompting</li><li>Structured output generation</li><li>Experience working with e-commerce product data</li><li>Ability to convert business requirements into effective AI prompts</li><li>Basic working knowledge of Python or JavaScript for testing and validation</li></ul>Job Type: Full-timePay: ₹35,000.00 - ₹65,000.00 per monthWork Location: In person

Prompt Engineer

Webvory

We are looking for a Prompt Engineer who can design, test, and optimize prompts for AI systems used in a fashion e-commerce environment. This role focuses on improving the quality, consistency, and reliability of AI-generated outputs such as product descriptions, attribute extraction, customer support replies, and marketing content.This is a hands-on role for someone who has worked with LLMs in real-world production use cases, not just experimentation.Key Responsibilities<ul><li>Design and optimize prompts for:</li><li>Product descriptions and SEO content</li><li>Customer support responses (FAQs, sizing guidance, policies)</li><li>Marketing content (emails, ads, WhatsApp campaigns)</li><li>Create prompts that return structured and consistent outputs (JSON or schema-based)</li><li>Test and refine prompts across different product categories</li><li>Reduce hallucinations and improve accuracy using constraints and prompt chaining</li><li>Work closely with AI developers and backend engineers to integrate prompts into APIs</li><li>Continuously improve prompt performance based on feedback and business metrics</li></ul>Required Skills &amp; Experience<ul><li>1&ndash;3 years of hands-on experience working with LLMs (OpenAI, Gemini, Claude, etc.)</li><li>Strong understanding of:</li><li>Prompt engineering techniques</li><li>Few-shot and zero-shot prompting</li><li>Structured output generation</li><li>Experience working with e-commerce data</li><li>Ability to translate business requirements into effective prompts</li><li>Basic knowledge of Python or JavaScript for testing and validation</li><li>Work from office Mohali</li></ul>Job Type: Full-timePay: ₹40,000.00 - ₹60,000.00 per monthWork Location: In person

DETECH SOLUTIONS

*Job Title:* Prompt EngineerCompany:Detech Solutions Private LimitedExperience:2-3 yearsJob Description:We're looking for a Prompt Engineer to join our team and help us craft effective prompts for AI models. You'll work on designing, testing, and refining prompts to improve AI performance.Responsibilities:- Design and write prompts for AI models- Test and refine prompts for accuracy and effectiveness- Collaborate with AI teams to integrate prompts- Analyze prompt performance and suggest improvementsRequired Skills:- 2-3 years of experience in prompt engineering or related field- Strong writing and communication skills- Understanding of AI models and NLP concepts- Experience with prompt design tools and platformsWhat we offer:- Competitive salary and benefits- Opportunities for growth and development- Dynamic work environmentIf you're a creative problem-solver with a passion for AI, apply now! Share your resumeJob Type: Freelance Contract length: 6 monthsPay: From ₹18,000.00 per monthWork Location: Remote

Zeen web solutions

We are seeking a skilled AI Prompt Engineer with 3+ years of experience designing, testing, and optimizing prompts for large language models (LLMs). The ideal candidate will work closely with AI engineers, product teams, and stakeholders to build reliable, scalable, and high-performing AI-driven solutions.Key Responsibilities<ul><li>Design, refine, and optimize prompts for LLMs (text, code, and multimodal)</li><li>Test prompt performance and improve accuracy, consistency, and safety</li><li>Collaborate with AI/ML engineers to integrate prompts into applications</li><li>Develop reusable prompt templates and workflows</li><li>Evaluate AI outputs and implement guardrails</li><li>Document prompt strategies and best practices</li><li>Stay updated with the latest advancements in generative AI</li></ul>Required Skills &amp; Qualifications<ul><li>3+ years of experience in AI Prompt Engineering or applied LLM work</li><li>Strong understanding of LLMs (GPT, Claude, Gemini, etc.)</li><li>Experience with prompt design techniques (few-shot, chain-of-thought, role prompting, RAG)</li><li>Familiarity with Python or JavaScript for prompt testing and automation</li><li>Experience using AI APIs and tools</li><li>Strong analytical and problem-solving skills</li></ul>Preferred (Nice to Have) Skills<ul><li>Experience with RAG pipelines and vector databases</li><li>Knowledge of AI safety, bias mitigation, and evaluation methods</li><li>Experience with LangChain, LlamaIndex, or similar frameworks</li><li>Background in NLP or ML concepts</li></ul>Job Types: Full-time, PermanentWork Location: In person

Cyderes

<div><div>We help the world Be Everyday Ready&trade;</div><div></div><div> 
Today&rsquo;s threatscape is relentless. So are we. At Cyderes, we specialize in building practical IAM, exposure management, and risk programs, and stopping active threats fast with MDR that works with your existing security tools &mdash; all augmented by AI and driven by seasoned operators. Our tireless global team is laser-focused on cybersecurity, arming organizations with the people, platforms, and perspectives they need to conquer whatever tomorrow throws their way.</div><div></div><div> 
Role Summary</div><div>
We are hiring a Full-Stack AI Engineer to design, build, and operate production-grade agentic AI systems. The role focuses on prompt engineering, PromptOps, Python backend services, Azure-native cloud architecture, and full-stack delivery of reliable AI workflows at scale.</div>
<h3 class="jobSectionHeader">Responsibilities</h3><div> 
1. Prompt Engineering &amp; Agentic Systems</div><ul><li>
Design, test, and optimize enterprise-grade prompts, system instructions, schemas, and agent workflows.</li><li>
Build multi-step agentic pipelines, self-refining loops, and deterministic fallback logic.</li><li>
Implement PromptOps: versioning, evaluations, regression testing, hallucination mitigation, token optimization, and governance.</li><li>
Build RAG pipelines, vector search, memory layers, and grounding strategies.</li></ul><div>
2. Backend &amp; Full-Stack Engineering</div><ul><li>
Build and maintain Python-based microservices (FastAPI, async patterns, REST APIs).</li><li>
Deliver full-stack AI applications (React, TypeScript) used by analysts for multi-turn AI interactions.</li><li>
Manage GitHub, CI/CD, testing, branching, and release automation.</li><li>
Integrate AI services via serverless, containerized, and event-driven architectures.</li></ul><div>
3. Azure Cloud &amp; Infrastructure</div><ul><li>
Deploy AI workloads on Azure App Services, Functions, AKS, Logic Apps, Event Grid.</li><li>
Implement IaC using Azure Bicep / ARM.</li><li>
Enforce security, RBAC, Key Vault, secrets management, and runtime policies.</li><li>
Optimize cost, performance, observability, and reliability.</li></ul><div>
4. ML, Data &amp; Observability</div><ul><li>
Build and maintain embeddings, feature pipelines, telemetry, and drift detection.</li><li>
Perform data analysis and experimentation using KQL and Splunk SPL.</li><li>
Support model selection, fine-tuning strategies, safety constraints, and evaluation frameworks.</li></ul><div>
5. Cross-Functional Ownership</div><ul><li>
Translate ambiguous business needs into measurable AI workflows.</li><li>
Partner with security, engineering, and product teams.</li><li>
Produce clear documentation (architecture, prompts, runbooks).</li><li>
Act as an internal SME for agentic systems and modern AI development patterns.</li></ul><h3 class="jobSectionHeader">
Required Skills</h3><ul><li>
Advanced prompt engineering (Gemini, GPT, Claude; multi-model systems).</li><li>
Strong Python, FastAPI, async programming.</li><li>
Deep experience with Azure cloud services and serverless patterns.</li><li>
Hands-on RAG and vector databases (Azure Search, Pinecone, FAISS, etc.).</li><li>
Agent frameworks (LangChain, LlamaIndex, AutoGen, or custom).</li><li>
Frontend experience with React + TypeScript.</li><li>
Strong CI/CD, GitHub Actions, and DevOps practices.</li></ul><div></div><div> 
Preferred</div><ul><li>
Multi-agent or autonomous systems experience.</li><li>
AI in security operations or automation.</li><li>
Azure / ML Ops certifications.</li><li>
SOC2 / ISO / AI governance exposure.</li><li>
Open-source or AI tooling contributions.</li></ul><div>
Cyderes is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to race, religion, color, sex, age, disability, sexual orientation, genetic information, national origin, or veteran status.</div><div></div><div> 
Note: This job posting is intended for direct applicants only. We request that outside recruiters do not contact us regarding this position.</div>

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

Full-Stack AI Engineer (Prompt Engineering & Agentic Systems) Python, Azure

Full-Stack Ai Engineer (Prompt Engineering & Agentic Systems) Python, Azure

Virtusa

<div>We are seeking an experienced Generative AI Data Scientist with a strong background in LLM training, prompt engineering, and agentic AI systems. The ideal candidate will combine deep technical expertise with innovative thinking to design, train, and deploy cutting-edge AI solutions that drive business impact. You will work closely with cross-functional teams to implement and scale generative AI capabilities across the organization. LLM Development &amp; Optimization Fine-tune and optimize foundation models (e.g., GPT, LLaMA, Claude, Mistral) for specific business and domain applications. Build scalable pipelines for model training, evaluation, and deployment. Conduct performance tuning, benchmarking, and continuous improvement of model accuracy and efficiency. Prompt Engineering &amp; Evaluation: Develop and refine advanced prompting strategies (structured, few-shot, chain-of-thought, tool-augmented prompts). Design automated evaluation frameworks for response quality, consistency, and factual accuracy. Agentic AI &amp; System Design: Architect intelligent, autonomous, or semi-autonomous AI agents that can reason, plan, and execute tasks using contextual knowledge. Integrate external APIs, vector databases, and retrieval systems to enhance model reasoning and context handling. Data Strategy &amp; Engineering: Curate, preprocess, and manage large-scale datasets for generative AI model training and fine-tuning. Ensure data quality, ethical use, and compliance with data governance standards. Research &amp; Innovation: Stay up to date with advancements in LLMs, RAG, multi-agent systems, and multimodal AI. Prototype and experiment with emerging GenAI technologies to identify potential use cases and improvements. Bachelor or Master degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. Proficiency in Python, with strong knowledge of libraries and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, or LlamaIndex. Hands-on experience in LLM fine-tuning, prompt design, RAG pipelines, and model evaluation. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and AI orchestration frameworks. Strong understanding of machine learning workflows, data pipelines, and model deployment (MLOps / LLMOps) on AWS, Azure, or GCP. Experience building or integrating agentic AI systems or multi-agent orchestration frameworks. Exposure to multimodal AI systems (text, image, and audio). Knowledge of AI safety, interpretability, .<div>
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</div></div>

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Prompt Engineer

Full-Stack AI Engineer (Prompt Engineering & Agentic Systems) Python, Azure

Full-Stack Ai Engineer (Prompt Engineering & Agentic Systems) Python, Azure

Gen AI DS