Prompt Engineer Jobs

Key ResponsibilitiesDesign, develop, and optimize prompts for Large Language Models (LLMs) and other AI systems.Create prompt libraries, templates, and reusable frameworks for business applications.Evaluate AI responses and continuously refine prompts to improve performance, relevance, and accuracy.Collaborate with cross-functional teams including Product, HR, Operations, Engineering, and Business stakeholders to understand requirements and translate them into effective AI interactions.Conduct testing, experimentation, and performance analysis of prompts using established evaluation metrics.Document prompt engineering standards, best practices, and governance guidelines.Stay current with advancements in generative AI, prompt engineering techniques, and emerging tools.Support AI implementation projects and provide guidance on effective AI usage across the organization.Ensure prompts comply with organizational policies, ethical AI principles, and data privacy requirements.Develop workflows that integrate prompt engineering into business processes and automation solutions.

ML Engineer**Experience:** 6-8 Years**Engagement:** C2C**Location:**Bangalore## Role OverviewWe are looking for an experienced **ML Engineer** with strong expertise in **Python, Machine Learning, Generative AI, Agentic AI, and Microsoft Azure**. The ideal candidate will have hands-on experience building and deploying machine learning models and AI agents, developing scalable ML pipelines, and orchestrating agentic workflows using Azure Data and AI platforms.## Key Responsibilities* Develop and maintain scalable **machine learning pipelines** and integrate them with **Azure ML**.* Design and implement **agentic AI workflows** and intelligent AI agents using LLMs, planning, and decision-making frameworks.* Build, deploy, and optimize machine learning models using **TensorFlow, PyTorch**, or similar frameworks.* Design secure, scalable, and production-ready AI agent architectures for cross-platform applications.* Work extensively with **Microsoft Azure**, including **Azure Databricks, Microsoft Fabric, and Microsoft AI Foundry**.* Build and experiment with **Generative AI models, LLMs, and agentic workflows**.* Implement AI agent **safety, guardrails, evaluation, and monitoring mechanisms**.* Improve agent performance through feedback loops, reinforcement learning, and user interaction analysis.* Collaborate across backend, ML pipeline, and frontend teams to deliver end-to-end AI solutions.* Support deployment architecture, model serving, monitoring, and productionization of AI systems.* Conduct research and performance evaluation to improve agent conversation, decision-making, adaptability, and reliability.* Rapidly prototype and iterate on AI solutions in a startup-style environment.* Collaborate with senior engineers and researchers to deliver production-grade AI systems.## Required Qualifications* 6-8 years of experience in **Machine Learning / AI Engineering**.* Strong programming skills in **Python**.* Hands-on experience with **TensorFlow, PyTorch**, or equivalent ML frameworks.* Proven experience developing and deploying **machine learning models and AI agents**.* Strong hands-on experience with **Generative AI, LLMs, and Agentic AI**.* Strong expertise in **Microsoft Azure** and Azure AI/Data platforms.* Experience with **Azure ML, Azure Databricks, Microsoft Fabric, and Microsoft AI Foundry**.* Experience with **ML pipelines, deployment architecture, and production AI systems**.* Understanding of AI agent orchestration, evaluation, safety, and guardrails.* Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.## Good to Have* Experience with **reinforcement learning and agent feedback mechanisms**.* Experience building AI solutions for **security or enterprise applications**.* Knowledge of LLM evaluation, prompt engineering, RAG, and model optimization.* Experience working across backend services, APIs, and frontend integrations.## Key Skills**Must Have:** Python Azure ML GenAI/LLM Agentic AI TensorFlow/PyTorch Azure Databricks/Fabric/AI Foundry ML Pipelines AI Agent Deployment**Good to Have:** Reinforcement Learning RAG Prompt Engineering AI Safety & Guardrails LLM Evaluation

Hiring an AI Developer with 5+ years of experience in Python, GenAI, LLMs, FastAPI, Prompt Engineering, and Agentic AI to build scalable, production-ready AI solutions, AWS Bedrock / Amazon SageMaker.

As an AI Engineer in Pune, you will be responsible for developing and implementing AI models and algorithms to solve complex problems. You will work closely with cross-functional teams to create innovative solutions that enhance the company's products and services.Key Responsibilities:- Develop AI Models: Create and deploy machine learning models that meet project requirements, utilizing frameworks like TensorFlow or PyTorch.- Data Analysis and Processing: Analyze large datasets to extract insights and preprocess data to ensure it is suitable for training AI models.- Collaborate with Teams: Work with software engineers and data scientists to integrate AI solutions into existing systems, ensuring seamless functionality.- Performance Tuning: Regularly evaluate the performance of AI models and tune them for better accuracy and efficiency based on feedback and evolving data.- Stay Updated on Trends: Keep abreast of the latest developments in artificial intelligence and machine learning to continually improve processes and techniques.Required Skills and Expectations:- A bachelor's or master's degree in Computer Science, Data Science, or a related field is essential.- A minimum of 3 to 5 years of experience in AI or related fields, demonstrating a strong understanding of machine learning concepts.- Proficiency in programming languages such as Python or Java, along with experience in machine learning libraries and tools.- Strong analytical skills with the ability to interpret data and provide actionable insights.- Excellent communication skills to explain complex AI concepts to non-technical stakeholders and collaborate effectively with teams.

Freelance/Remote Opportunity Prompt Engineers We are seeking 10 freelance specialists to support projects in Generative AI, Prompt Engineering, and Responsible AI.Roles Available:Prompt Engineer Key Responsibilities:Train, fine-tune, and optimize Large Language Models (LLMs) on Google Cloud.Design, test, and refine prompts to guide AI outputs effectively.Conduct AI Ethics risk assessments including fairness, bias mitigation, and data governance.Provide feedback on responsible AI adoption, risk evaluation, and compliance frameworks.Requirements:Proven experience with Generative AI/LLMs and prompt design.Strong technical background in ML workflows and cloud platforms (Google Cloud preferred).Expertise in AI ethics, fairness, bias mitigation, or risk assessment.Strong communication skills to document and share findings.Details:Type: Freelance / RemoteEngagement: Part-time / Project-basedCompensation: Competitive, based on expertise/ hourly Apply by sending your CV + AI/Prompt Engineering expertise to: genaidomainexpert@oneforma.comThanks

Company:GadgetGully India Indias trendiest AI-powered e-commerce brand for Smart Gadgets, Womens Accessories, Kawaii Products & Kids Toys. Location:Remote (India-based preferred) Type: Full-Time About the Role:Were looking for a creative, growth-driven Prompt Engineer who can help us scale across Instagram, YouTube, and AI-powered content platforms. You will work at the intersection of AI content creation, SEO, video production, and performance marketing, building engaging, automated campaigns for a modern Indian audience. Key Responsibilities: Prompt Engineering & AI Content Creation Write effective prompts for tools like ChatGPT, DALLE, Veo, Runway, HeyGen, and Midjourney Create Instagram Reels, YouTube Shorts, and AI avatar videos that align with brand campaigns Design engaging content for product showcases, unboxings, festival-based promotions, and viral trends Performance Marketing & Ad Content Collaborate with the marketing team to build Meta (Instagram/Facebook) and YouTube ad creatives Generate ad video scripts, voiceovers, and visual ideas using AI and your own creative input Test and iterate different ad angles, hooks, and CTAs based on campaign goals SEO Strategy & Content Optimization Conduct keyword research using tools like SEMRush, Google Keyword Planner, and others Create SEO-friendly prompts for product descriptions, blogs, YouTube video titles & tags Optimize social media content for better organic reach and discovery Video Ideation & Execution Build compelling short-form video content using AI editors (Runway, CapCut, Canva, etc.) Work closely with the team to plan and script product launches, storytelling videos, and influencer-style UGC Innovation & Automation Stay up-to-date with the latest in AI tools, digital marketing automation, and e-commerce growth hacks Experiment with new tech and suggest improvements to the content and marketing workflow Youre a Great Fit If You: Have a strong interest in AI tools, prompt writing, and e-commerce content Understand the psychology of social media engagement and digital buying trends Are comfortable working with visual/video tools and can adapt quickly to new platforms Have basic understanding of ads, SEO, digital marketing, and analytics Tools Youll Work With: AI & Prompt Tools: ChatGPT, Gemini, Claude, DALLE, Midjourney Video & Visuals: Veo, HeyGen, Runway, CapCut, Canva Marketing: Meta Ads Manager, Google Keyword Planner, SEMrush E-Commerce Tools (basic): Shopify, Google Analytics

Role Overview:InnovaPoint is seeking a dynamic Senior AI Engineer to lead the development and deployment of cutting-edge AI solutions. This role is ideal for a self-driven technologist with deep expertise in AI/ML and a passion for building intelligent systems such as AI chatbots, agents, automation tools, and recommendation engines.You will be responsible for transforming business challenges into scalable AI solutions while also supporting strategic conversations about how AI can reshape services and operations.Responsibilities: Design, build, and deploy AI/ML models, AI chatbots, and custom AI agents Work with LLMs (OpenAI, Anthropic, Mistral) and frameworks like LangChain or LlamaIndex Develop prompt engineering and RAG-based solutions using vector databases Integrate AI capabilities into web applications, internal tools, and client platforms Optimize and monitor model performance in production environments Collaborate with frontend/backend developers and DevOps for AI solution delivery Research and experiment with the latest in GenAI, NLP, and multimodal AI systems Maintain AI best practices, documentation, and model version controlRequired Skills: Strong programming skills in Python and experience with AI/ML libraries (Transformers, PyTorch, TensorFlow) Hands-on experience with GenAI APIs (OpenAI, Claude, etc.) Solid grasp of LLMs, chatbot architectures, RAG pipelines, and embedding models Experience deploying models in cloud environments (AWS/GCP/Azure) Knowledge of vector stores, memory modules, and LLM app frameworks Bonus: familiarity with Streamlit, Gradio, or other rapid AI prototyping toolsQualifications: B.Tech/M.Tech/MCA in Computer Science, AI, Data Science, or related field 4+ years of software development experience, with 5+ years focused on AI/ML/GenAI

Design, develop, and test prompts to optimize performance of large language models (LLMs) across healthcare use cases. Collaborate closely with AI researchers, product managers, and healthcare domain experts to define prompt requirements that align with clinical workflows. Continuously refine prompts based on testing, real-world performance, and end-user feedback to improve model accuracy, contextual relevance, and user satisfaction. Develop libraries of reusable, modular prompts for common healthcare tasks like summarizing clinical notes, generating reports, and providing diagnostic suggestions. Analyze the behavior of AI outputs, identify edge cases, and troubleshoot inaccuracies to improve system reliability. Ensure prompts adhere to industry-specific compliance standards, such as HIPAA, and support secure handling of sensitive healthcare data. Document prompt designs, iterations, and testing outcomes to build a robust knowledge base for continuous improvement. Stay current with advancements in LLMs, NLP, and AI techniques, particularly as they apply to healthcare challenges.Requirements: Bachelors or masters degree in computer science, Artificial Intelligence, Linguistics, Healthcare Informatics, or a related field. Relevant experience may substitute for formal education. 2+ years of experience working with NLP, large language models (e.g., GPT, Claude, etc.), or AI systems. Demonstrated experience in prompt design, fine-tuning, or optimization of AI models. Strong understanding of healthcare workflows, terminologies (e.g., ICD, CPT codes), and clinical documentation processes. Proficiency in Python, APIs for LLMs, or related tools to test and validate prompts. Ability to analyze AI performance metrics and provide structured feedback for model improvement. Excellent problem-solving and analytical skills, with a keen eye for detail. Exceptional written and verbal communication skills to articulate complex ideas to technical and

Prompt Development & Optimization:Design, test, and iterate on prompt structures to achieve desired AI outputs.Fine-tune prompts to improve relevance, clarity, and contextual accuracy across various use cases.AI System Integration:Collaborate with software engineers and data scientists to integrate prompt strategies into production systems.Optimize prompts for specific AI models (e.g., OpenAI GPT, Bard, LLaMA).Data Analysis:Analyze model responses to evaluate prompt effectiveness.Leverage user feedback and system logs to improve prompt quality.Cross-Functional Collaboration:Work with content writers, UX designers, and domain experts to align AI behavior with business goals.Support AI training teams in creating high-quality datasets for better model fine-tuning.Research & Innovation:Stay updated on advancements in AI and prompt engineering techniques.Experiment with innovative approaches to improve the performance of generative AI systems.Requirements:Education: Bachelors degree in Computer Science, Data Science, Linguistics, or related fields (or equivalent experience).Experience:Proven experience with prompt engineering for AI models like GPT, Bard, or similar tools.Familiarity with fine-tuning and API integrations for AI/ML systems.Skills:Strong command of natural language and linguistic nuances.Knowledge of AI/ML concepts, NLP techniques, and model behaviors.Proficiency in programming languages such as Python (experience with AI libraries is a plus).Analytical skills to evaluate and optimize prompt performance.Soft Skills:Problem-solving mindset with a focus on creative solutions.Excellent communication and collaboration abilities.