115 Prompt Engineering Jobs - Page 5

About the Role We're seeking a skilled Python QA Analyst to join our team focused on AI and agentic systems. In this role, you'll ensure the quality and reliability of our AI products while occasionally supporting agentic development during periods of lower QA workload. Key Responsibilities Design, implement and maintain comprehensive test suites for AI and agentic systems Create automated testing frameworks using Python to validate AI model outputs and behaviors Develop test cases that cover edge scenarios and potential failure modes in AI systems Perform thorough regression testing on new releases and feature updates Validate that AI systems meet functional requirements and performance benchmarks Document bugs with clear reproduction steps and expected behaviors Collaborate with AI engineers to understand model architectures and potential weak points Support the development team in troubleshooting and resolving identified issues Assist with agentic development projects during periods of lower QA workload Requirements Experience in software QA, with a focus on Python Strong Python programming skills and experience with testing frameworks (pytest, unittest) Understanding of AI concepts, machine learning workflows, and LLM evaluation techniques Experience testing complex systems with multiple integrations Familiarity with CI/CD pipelines and test automation Knowledge of version control systems (Git) Experience with bug tracking and project management tools Nice to Have Experience with AI-specific testing methodologies and evaluation metrics Understanding of LLM evaluation techniques (including hallucination detection, bias testing) Background in agentic system development or testing Experience with containerization (Docker) and orchestration tools Knowledge of API testing (Postman, requests) Familiarity with prompt engineering and prompt testing methodologies What You'll Do Develop comprehensive test plans for new AI features and systems Build and maintain automated test suites that validate model outputs against expected benchmarks Create specialized tests for agentic behaviors and decision-making processes Collaborate with cross-functional teams to define quality standards and acceptance criteria Participate in code reviews from a quality assurance perspective Contribute to agentic development projects when QA workload allows Help establish testing best practices for AI and agentic systems This position offers the opportunity to work at the cutting edge of AI quality assurance while developing skills in agentic system development. Join us in building reliable, high-quality AI products that our customers can trust.

Role & responsibilities esponsibilities 1Design develop test and implement AI and ML models using the latest technologies and frameworks 2Analyze and interpret complex data to identify trends patterns and insights 3Work with AI lead to understand business objectives and requirements and develop solutions to solve complex problems 4Maintain uptodate knowledge of latest AIML trends techniques and technologies 5Collaborate with data engineers to build data and model pipelines 6Conduct research and implement new methodologies in AI and ML ESSENTIAL SKILLS COMPETENCIES Minimum 5to 6 years of experience in implementing AI and ML models Excellent problemsolving skills with the ability to work independently as well as collaboratively in a team Solid understanding of machine learning algorithms and principles and their applicability to different problems Proficiency in Python and familiarity with libraries like TensorFlow Keras PyTorch or similar ML libraries Experience with GenAI would be highly beneficial Strong communication and presentation skills Skills Mandatory Skills : Prompt Engineering & RAG Good to Have Skills : Fine Tuning Large Language Models Preferred candidate profile

Summary of the Role: We are seeking an AI Prompt Engineer with expertise in Large Language Models (LLMs) and prompt engineering to support legal tech solutions, specifically in contract lifecycle management and contract-related AI implementations. The ideal candidate will have a strong background in AI, NLP, and structured prompt engineering, with a keen understanding of legal tech applications. Prior experience in the legal domain is a plus but not mandatory. What you will do: Design, develop, and refine AI prompts for legal tech applications, ensuring accuracy and contextual relevance in contract-related workflows. Work with Large Language Models (LLMs) to enhance AI-driven solutions for contract analysis, review, and automation Optimize prompt structures and techniques to improve AI-generated outputs in contract drafting, compliance, and negotiations Research, test, and implement best practices in prompt engineering to maximize efficiency and accuracy in contract delivery Evaluate and refine AI-generated legal documents to align with compliance standards and client requirements Stay updated with advancements in LLMs, prompt engineering methodologies, and AI-driven legal tech solutions. What you bring: Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field. Minimum 5 years of overall professional experience, with at least 2 years in AI prompt engineering Strong understanding of LLMs (GPT, Claude, Gemini, Llama, etc.) and their application in legal or enterprise use cases Proven expertise in prompt design, optimization, and fine-tuning for AI-driven text generation Hands-on experience with AI tools, frameworks, and APIs (OpenAI, Hugging Face, LangChain, etc.) Strong problem-solving skills and ability to work in a fast-paced environment Excellent communication and collaboration skills to work with cross-functional teams. Bonus Points: Basic understanding of contracts, legal terminology, and compliance standards. Applications must be submitted exclusively through Execo's official job postings located on the following platforms: Execo Careers Website: https://www.execo.com/careers LinkedIn: https://www.linkedin.com/company/execogroup/jobs/ Indeed: US & Kenya: https://www.indeed.com/cmp/Execo-Group-Inc India: https://in.indeed.com/cmp/Execo-Group-Inc UK: https://uk.indeed.com/cmp/Execo-Group-Inc Philippines: https://ph.indeed.com/cmp/Execo-Group-Inc Singapore: https://sg.indeed.com/cmp/Execo-Group-Inc Naukri: https://www.naukri.com/

About the job: Key responsibilities: 1. Design engaging graphics, creatives, banners, and visual content for web and social media using Canva 2. Develop and maintain websites using WordPress (themes, plugins, customizations) 3. Ensure mobile responsiveness and cross-browser compatibility of websites 4. Optimize website performance and contribute to SEO best practices 5. Monitor website traffic using tools like Google Analytics and suggest improvements 6. Collaborate with marketing and content teams to ensure brand consistency 7. Design, test, and refine AI prompts to automate tasks, enhance user experience, and support decision-making in real-time 8. Build and maintain intelligent web applications using visual development or low-code platforms 9. Integrate AI functionality into forms, dashboards, and interfaces used in operational tools and client-facing applications 10. Assist in basic digital marketing tasks when needed Requirements: 1. Bachelor's degree in Computer Science, IT, Marketing, or a related field 2. Minimum 1 year of relevant experience in digital marketing 3. Strong understanding of SEO, content strategy, and performance marketing 4. Proficient in Canva and WordPress 5. Familiarity with technical SEO best practices 6. Experience using Google Digital tools and HubSpot 7. Strong communication and project coordination skills 8. Ability to multitask and deliver in a deadline-driven environment 9. Work samples/portfolio required Who can apply: Only those candidates can apply who: have minimum 1 years of experience are Computer Science Engineering students Salary: ₹ 3,00,000 - 4,20,000 /year Experience: 1 year(s) Deadline: 2025-06-14 23:59:59 Other perks: 5 days a week Skills required: HTML, CSS, Google Analytics, Search Engine Marketing (SEM), WordPress, Video Editing, Search Engine Optimization (SEO), UI & UX Design, English Proficiency (Spoken), English Proficiency (Written), Canva, Prompt Engineering, ChatGPT, Graphic Design, AI Video Generation and AI Image Generation Other Requirements: 1. Candidates must be willing to work in the EST time zone 2. Only full-time work experience after completing education will be considered. Part-time or undocumented experience won't be accepted 3. If you have less than 1 year of experience, you’ll need to do a 3–6 month internship prior to being considered for full time employment About Company: We are a business consulting company that serves as the intersection of business and technology. We enable 1000+ clients across the globe to create and execute strategies for their digital transformation. We harness the power of the cloud and emerging technologies to help our clients adapt to the digital world. Experience the innovative and customer-centric IT services at Quantazone.

About the job: Key responsibilities: 1. Design engaging graphics, creatives, banners, and visual content for web and social media using Canva 2. Develop and maintain websites using WordPress (themes, plugins, customizations) 3. Ensure mobile responsiveness and cross-browser compatibility of websites 4. Optimize website performance and contribute to SEO best practices 5. Monitor website traffic using tools like Google Analytics and suggest improvements 6. Design, test, and refine AI prompts to automate tasks, enhance user experience, and support decision-making in real-time 7. Build and maintain intelligent web applications using visual development or low-code platforms 8. Collaborate with marketing and content teams to ensure brand consistency 9. Assist in basic digital marketing tasks when needed Requirements: 1. Bachelor's degree in computer science, IT, marketing, or a related field 2. Minimum 1 year of relevant experience in digital marketing 3. Strong understanding of SEO, content strategy, and performance marketing 4. Proficient in Canva and WordPress 5. Familiarity with technical SEO best practices 6. Experience using Google Digital tools and HubSpot 7. Strong communication and project coordination skills 8. Ability to multitask and deliver in a deadline-driven environment 9. Work samples/portfolio required Who can apply: Only those candidates can apply who: have minimum 1 years of experience are Computer Science Engineering students Salary: ₹ 3,00,000 - 4,20,000 /year Experience: 1 year(s) Deadline: 2025-06-14 23:59:59 Other perks: 5 days a week Skills required: WordPress, Search Engine Optimization (SEO), UI & UX Design, English Proficiency (Written), Canva, Marketing Automation, Prompt Engineering, ChatGPT, Graphic Design, AI Video Generation and AI Image Generation Other Requirements: 1. Candidates must be willing to work in the EST time zone 2. Only full-time work experience after completing education will be considered. Part-time or undocumented experience won't be accepted 3. If you have less than 1 year of experience, you’ll need to do a 3–6 month internship prior to being considered for full-time employment About Company: We are a business consulting company that serves as the intersection of business and technology. We enable 1000+ clients across the globe to create and execute strategies for their digital transformation. We harness the power of the cloud and emerging technologies to help our clients adapt to the digital world. Experience the innovative and customer-centric IT services at Quantazone.

Job Summary Good Experience on Python scripting Experience on any web framework like Tornadofastapi Experience implementing AIML and Generative AI usecases RAG implementations Experience working on Embedding and Transformer models Experience working on document processing ETL pipelines using Python Experience working on Azure AI Search Self motivated fast learner individual contributor preferred Responsibilities Good Experience on Python scripting Experience on any web framework like Tornadofastapi Experience implementing AIML and Generative AI usecases RAG implementations Experience working on Embedding and Transformer models Experience working on document processing ETL pipelines using Python Experience working on Azure AI Search Self motivated fast learner individual contributor preferred

We are looking for a Prompt Engineer with over 3 years of experience in designing, developing, and optimizing prompts for large language models (LLMs) like OpenAI GPT, Claude, or Gemini. You will work closely with data scientists, product managers, and software engineers to create effective natural language prompts that enable AI systems to perform complex tasks reliably. Key Responsibilities Design, test, and refine effective prompts for tasks involving language generation, summarization, classification, extraction, reasoning, and conversation. Evaluate and analyze LLM output for accuracy, relevance, coherence, and safety. Collaborate with cross-functional teams to integrate LLM capabilities into production applications or internal tools. Build prompt libraries and maintain versioning and documentation. Conduct prompt A/B testing, performance benchmarking, and maintain feedback loops for iterative improvements. Fine-tune or guide model behavior using advanced techniques like few-shot prompting, chain-of-thought reasoning, and system instructions. Stay updated with LLM research advancements and integrate best practices into workflow. Required Skills & Qualifications Bachelor's degree in Computer Science, Linguistics, Cognitive Science, or a related field. 3+ years of experience working with AI/ML systems or NLP-focused products. Deep understanding of prompt engineering principles and hands-on experience with LLMs like OpenAI GPT (ChatGPT, GPT-4), Anthropic Claude, etc. Familiarity with API-based interaction with LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face). Strong analytical and critical thinking skills to design experiments and evaluate model behavior. Proficient in Python or JavaScript for scripting and experimentation. Excellent written and verbal communication skills. Preferred Qualifications Experience with vector databases (e.g., Pinecone, Weaviate), RAG systems, or knowledge graphs. Exposure to tools like LangChain, LlamaIndex, or PromptLayer. Experience working in agile environments or AI-driven startups. Prior work in conversational AI, chatbots, or AI copilots.

Responsibilities: * Design generative AI solutions using LLM, Python, SQL & NLP techniques. * Collaborate with cross-functional teams on project delivery. * Implement RNN, LSTM, GRU models for text analysis.

Sundew is a growing company with 18 years of expertise in Digital Transformation, excelling in Digital Strategy,CloudNative Application Development,AI, and Product Engineering. We are seeking a Prompt Engineer to enhance product functionality and userexperience by crafting, testing, and optimizing prompts for large language models (LLMs) in collaboration with our AI/ML team, engineers, product managers, and data scientists. Key Responsibilities: Prompt Design & Optimization: Design, test, and refine prompts for LLMs (e.g., GPT-4, Claude, Mistral) to ensure accurate and contextually relevant outputs. Conduct prompt tuning and A/B testing to enhance the performance, reliability, and user alignment of generative AI outputs. Cross-Functional Collaboration: Work closely with engineers, product managers, and data scientists to identify new use cases where generative AI can enhance product experience. Participate in agile team discussions, brainstorming sessions, and ideation on generative AI solutions. Evaluation & Documentation: Analyze model responses and user feedback to iterate on prompt effectiveness. Maintain detailed documentation of prompt iterations, testing outcomes, and optimization strategies. Continuous Learning & Innovation: Stay informed on the latest advancements in generative AI, LLMs, and prompt engineering methodologies. Contribute to the development of best practices and knowledge sharing within the AI/ML team. Required Skills & Qualifications: Education: Bachelors degree in Computer Science or a related field. Core Skills: Excellent command of English with strong writing, comprehension, and communication abilities. Analytical mindset with a keen eye for detail and a passion for experimenting and refining ideas. Hands-on familiarity with Chat GPT, Claude, or similar generative AI tools. Exposure to prompt design, human-computer interaction, or reinforcement learning. Familiarity with Python or basic scripting for prompt testing (preferred). Relevant background or certifications in UX Writing, Generative AI, Prompt Engineering, or related domains are a plus. What We Offer: Join a rapidly expanding, global organization leading the charge in digital transformation with cutting-edge technologies. Remote work environment to support work-life balance. Opportunity to grow in a fast-paced and emerging domain. Inclusive and collaborative team culture where your ideas matter. Competitive compensation package with performance-based incentives to reward excellence and drive measurable results.

About the Role: We are looking for a talented Generative AI Engineer to join our AI innovation team at EaseMyTrip.com and help power the next generation of intelligent travel experiences. In this role, you will lead the integration and optimization of Large Language Models (LLMs) to create conversational travel agents that can understand, recommend, and assist travelers across platforms. You will work at the intersection of backend systems, AI models, and natural language understanding, bringing smart automation to every travel interaction. Key Responsibilities: LLM Integration: Deploy and integrate LLMs (e.g., GPT-4, Claude, Mistral) to process natural language queries and deliver personalized travel recommendations. Prompt Engineering & RAG: Design optimized prompts and implement Retrieval-Augmented Generation (RAG) workflows to enhance contextual relevance in multi-turn conversations. Conversational Flow Design: Build and manage robust conversational workflows capable of handling complex travel scenarios such as booking modifications and cancellations. LLM Performance Optimization: Tune models and workflows to balance performance, scalability, latency, and cost across diverse environments. Backend Development: Develop scalable, asynchronous backend services using FastAPI or Django, with a focus on secure and efficient API architectures. Database & ORM Design: Design and manage data using PostgreSQL or MongoDB, and implement ORM solutions like SQLAlchemy for seamless data interaction. Cloud & Serverless Infrastructure: Deploy solutions on AWS, GCP, or Azure using containerized and serverless tools such as Lambda and Cloud Functions. Model Fine-Tuning & Evaluation: Fine-tune open-source and proprietary LLMs using techniques like LoRA and PEFT, and evaluate outputs using BLEU, ROUGE, or similar metrics. NLP Pipeline Implementation: Develop NLP functionalities including named entity recognition, sentiment analysis, and dialogue state tracking. Cross-Functional Collaboration: Work closely with AI researchers, frontend developers, and product teams to ship impactful features rapidly and iteratively. Preferred Candidate Profile: Experience: Minimum 2 years in backend development with at least 1 year of hands-on experience working with LLMs or NLP systems. Programming Skills: Proficient in Python with practical exposure to asynchronous programming and frameworks like FastAPI or Django. LLM Ecosystem Expertise: Experience with tools and libraries such as LangChain, LlamaIndex, Hugging Face Transformers, and OpenAI/Anthropic APIs. Database Knowledge: Strong understanding of relational and NoSQL databases, including schema design and performance optimization. Model Engineering: Familiarity with prompt design, LLM fine-tuning (LoRA, PEFT), and evaluation metrics for language models. Cloud Deployment: Comfortable working with cloud platforms (AWS/GCP/Azure) and building serverless or containerized deployments. NLP Understanding: Solid grasp of NLP concepts including intent detection, dialogue management, and text classification. Problem-Solving Mindset: Ability to translate business problems into AI-first solutions with a user-centric approach. Team Collaboration: Strong communication skills and a collaborative spirit to work effectively with multidisciplinary teams. Curiosity and Drive: Passionate about staying at the forefront of AI and using emerging technologies to build innovative travel experiences.

About the Role : We are looking for skilled developers proficient in Python and JavaScript/TypeScript to join a team advancing AI technology. You'll work with U.S.-based companies to build innovative AI solutions for both commercial and research purposes. This role is perfect for professionals passionate about cutting-edge development and scalable, high-quality software. Key Responsibilities : - Write clean, reusable, and maintainable code for robust software development. - Conduct code reviews to uphold quality and best practices. - Build scalable and secure web applications using modular architectures. - Develop backend and frontend solutions using Python and JavaScript/TypeScript. - Collaborate with teams to deliver innovative features and solutions. - Use Docker for containerized development and smooth deployment workflows. Required Skills : - Bachelor's/Master's in Engineering, Computer Science, or related field. - 5+ years of experience as a full-stack engineer - Expertise in Python, JavaScript/TypeScript, and ES6. - Strong experience with frameworks like Node.js, React, or Nest.js. - Proven ability to develop scalable, modular web applications. - Mandatory knowledge of Docker for efficient containerized workflows. - Experience in software quality assurance, test planning, and test-driven development. - Familiarity with large language models (LLMs) and tools like ChatGPT for prompt engineering. - Excellent English communication skills (spoken and written). Additional Info : Overlap with PST time zone : 4-5 hours. Full-time opportunity with immediate start. Open positions : 20+. Search Guidance : Mandatory Skills : Python (5+ years), JavaScript/TypeScript (5+ years), Docker, React, Node.js, Nest.js. Experience : 5+ years mandatory. Notice Period : Immediate.

At SquadStack, were building GenAI AI Agents that are intuitive, intelligent, and capable of truly human-like conversations. As a Voice AI Product Analyst, youll help bring AI agents to life by transforming real-world business needs into smart, scalable voice experiences. This is a hands-on role for someone with an entrepreneurial mindset who wants to learn fast, build boldly, and shape how people interact with AI. Where you'll make an Impact Convert business goals into agentic workflows by designing and iterating on conversation flows and logic Write and test prompts that bring out the best from LLMs in a voice-first context. Evaluate, debug, and improve voicebot performance using structured test cases and success metrics. Work closely with engineering, data, sales, and marketing to align voice AI Agent behavior with real customer use cases. Build tools, prompt templates, and reusable components to scale development efficiently. Document strategies and continuously improve based on data insights and user feedback. Skills that make you a great fit Solid understanding of LLMs and prompt engineering — including few-shot, zero-shot, role prompting, and persona shaping. Comfort with Python and SQL to prototype, automate tests, and analyze conversational data. Strong written and verbal communication in English and Hindi (you’ll write for real people, not robots). A strong sense of ownership and entrepreneurial mindset — you move fast, ask the right questions, and find your own path when needed. A self-starter mindset — you're a “ manager of one ” who can take ownership and drive outcomes. Ability to analyze business requirements and translate them into smart, human-like conversational agents. Qualification Recent graduate in Computer Science, Data Science, Linguistics, AI, Product Design, or a related field. Exposure to large language models (LLMs) like ChatGPT, Claude, Gemini, or similar - academic, personal, or internship projects are welcome. Basic proficiency in Python - able to call APIs, write scripts, or analyze data. Working knowledge of SQL - able to run queries to explore or report on data. Passion for AI, voice tech, or conversational UX - you’ve played with bots, experimented with prompts, or imagined how a smart assistant should talk. 0-1 years of experience working in similar roles & projects Logistics Compensation: Competetive! Joining: ASAP! Location: Noida

Role & responsibilities Urgent Hiring for one of the reputed MNC Immediate joiners Only Females Bang / Pune / Hyd Exp - 4 - 12 Years Job Description: Senior Data Scientist - Multi-Agent AI Systems About the Role We are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. In this role, you will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. You will leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Key Responsibilities Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication Build, train, and fine-tune generative AI models for various applications within multi-agent systems Develop robust evaluation frameworks to measure and improve multi-agent system performance Implement efficient knowledge sharing mechanisms between AI agents Write clean, efficient, and well-documented Python code for production-ready AI systems Collaborate with cross-functional teams to integrate multi-agent systems into broader product ecosystems Stay at the forefront of AI research and incorporate state-of-the-art techniques into our solutions Required Qualifications Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field 4+ years of professional experience in data science or machine learning engineering Extensive experience with Python programming and related data science/ML libraries Demonstrated expertise in developing and deploying generative AI models (e.g., LLMs, diffusion models) Proven experience building RAG-based systems and implementing vector databases Strong background in prompt engineering for large language models Experience designing and implementing generative AI-based multi-agent architectures Excellent problem-solving skills and ability to optimize complex AI systems Preferred candidate profile Experience with LangChain, AutoGPT, CrewAI, or similar frameworks for building agent-based systems Familiarity with orchestration tools for managing complex AI workflows Knowledge of agent communication protocols and collaborative problem-solving frameworks Experience with distributed systems and cloud computing platforms (AWS, GCP, Azure) Contributions to open-source AI projects or research publications in relevant fields Experience with knowledge graphs and semantic reasoning systems Familiarity with MLOps practices and deployment of AI systems at scale

Job purpose: Design, evaluate, and refine prompts to guide LLMs in producing accurate, relevant, and high-quality outputs for real-world applications such as voice bots, chatbots, and automation flows. Who You Are: Minimum of 2-4 years of experience working with or around Large Language Models or similar Generative AI technologies. Hands-on experience working with LLMs using OpenAI, Hugging Face, or similar platforms. Basic understanding of Python and ability to write prompt-related scripts. Familiarity with prompt evaluation frameworks and performance metrics. Key Responsibilities: Design and engineer effective prompts for use with LLMs (e.g., GPT, Claude, Mistral). Analyze model behavior and refine prompts for accuracy, relevance, and efficiency. Collaborate with product, engineering, and ML teams to integrate prompt logic into production systems. Conduct testing and evaluation of prompts across multiple tasks and domains. Research and experiment with techniques such as few-shot, zero-shot, and chain-of-thought prompting. What will excite us: Experience using LangChain or other LLM orchestration tools. Understanding of embeddings, vector databases, and semantic search. Prior experience building chatbot or GenAI applications. Awareness of model behavior limitations, hallucination risks, and mitigation strategies. What will excite you: In-office opportunity in Ahmedabad with a collaborative and AI-focused team. Work on innovative Gen AI projects with real-world impact. Exposure to production-level LLM deployment and prompt optimization at scale. Location: Ahmedabad

* Use Adobe Premiere Pro/ Final Cut Pro/ or equivalent tools for video editing. * Collaborate with Prompt Engineers on story development. should have good experience in prompting skills in AI tools * Employee should have their own laptop Accessible workspace