338 Prompt Engineering Jobs - Page 8

Job Description:- We are seeking an experienced AI Engineer to join our team and play a key role in developing and integrating cutting-edge AI tools into our SaaS products. The ideal candidate has hands-on expertise with platforms like OpenAI, LangChain, or Hugging Face, and a strong background in delivering scalable, production-ready AI solutions. In this role, you will lead AI feature development, collaborate cross-functionally, and mentor junior engineers. Responsibilities:- Design and develop AI-driven features leveraging large language models (LLMs) and embedding techniques. Integrate solutions using tools such as OpenAI, vector databases (e.g.,Pinecone, FAISS), and generative AI frameworks like LangChain or HuggingFace. Build and maintain Retrieval-Augmented Generation (RAG) pipelines and conversational AI workflows. Collaborate closely with backend and frontend engineering teams to ensure seamless integration of AI capabilities into the product. Continuously optimize AI models and pipelines for performance, scalability, and accuracy. Requirements: 2-4 years of experience in AI/ML-focused software development Proficiency in Python and hands-on experience with AI frameworks and toolkits such as LangChain, Pinecone, and OpenAI Strong problem-solving abilities and solid understanding of system architecture and design Excellent communication and collaboration skills

Seeking a GenAI Software Engineer with 5+ years’ experience to develop LLM-based applications, RAG, and AI agents. Must be skilled in LangChain, vector databases, and cloud-based AI deployment in agile teams. Required Candidate profile Experienced AI developer with expertise in GenAI, LLM apps, and RAG. Proficient in LangChain, vector DBs, and cloud AI services. Strong collaboration and agile development background preferred.

Key Responsibilities: Design and implement AI solutions using large language models (LLMs) for tasks such as summarization, question answering, and document understanding. Build and optimize retrieval-augmented generation (RAG) pipelines combining OCR and LLMs for unstructured document processing. Integrate LLMs and OCR tools (e.g., Azure Document Intelligence, Tesseract) into scalable applications. Preprocess scanned and digital documents using OCR to extract structured and semi-structured text for LLM input. Perform prompt engineering and fine-tuning of LLMs to enhance accuracy and task-specific performance. Evaluate and monitor LLM+OCR system outputs for quality, bias, and hallucination risks. Collaborate with cross-functional teams to deliver AI solutions tailored to domain-specific needs. Stay updated on the latest developments in foundation models, Agentic AI and OCR technologies. Required Skills: Hands-on experience with LLM frameworks such as LangChain, Semantic Kernel. Strong understanding of vector search, embedding models, and semantic retrieval (e.g., FAISS, Pinecone, Azure Cognitive Search). Proficiency in Python, with experience integrating APIs, Function Calling, Regular Expression, and handling LLM outputs. Deep expertise in prompt engineering, including few-shot prompting, prompt tuning, prompt chaining, and optimization techniques for task-specific accuracy and cost control. Solid knowledge of RAG architectures and agent design patterns (e.g., tool use, memory, planning). Experience with OCR technologies (e.g., Tesseract, Azure Document Intelligence) for document understanding and information extraction from scanned or image-based content. Familiarity with LLM platforms and tools like Azure OpenAI, LLMOps. Experience deploying LLM-based applications in cloud environments, with attention to performance, reliability, and scalability. Practical understanding of SAFe Agile methodologies, with experience delivering AI/ML solutions in cross-functional Agile teams. Proven ability to work independently without supervision, demonstrating initiative, ownership, and accountability across all phases of solution development.

Job Summary: We are looking for an exceptional Senior Data Scientist with strong communication skills and a passion for building advanced AI solutions. The ideal candidate will bring hands-on expertise in deep learning, computer vision, generative AI , and prompt engineering , with proven domain experience in supply chain or healthcare or IT . Key Responsibilities: Lead the development of AI/ML models from problem definition to deployment in production. Design and implement solutions using deep learning , computer vision , generative AI (GenAI) , RAG , and prompt engineering techniques. Work on time series forecasting , anomaly detection, and predictive modeling tasks. Collaborate with product, engineering, and domain experts to build scalable and impactful data science solutions. Translate complex technical findings into business insights for non-technical stakeholders. Contribute to architectural discussions and strategic planning of AI/ML capabilities. Mentor junior data scientists and contribute to best practices in model development and deployment. Required Skills & Qualifications: Bachelors/Master’s/Ph.D. from Tier 1 or Tier 2 institution in Computer Science, Statistics, Mathematics, or related field. 10+ years of experience in data science and applied machine learning. Strong programming skills in Python and ML frameworks like TensorFlow, PyTorch, or Keras. Deep understanding of CNNs, Transformers, LLMs , and multimodal architectures . Hands-on experience in Computer Vision (image segmentation, object detection, OCR, etc.). Expertise in Generative AI , including prompt engineering and Retrieval-Augmented Generation (RAG). Experience in Time Series Modeling using statistical and deep learning techniques. Experience working in either Supply Chain or Healthcare domain is mandatory. Proficient in communicating technical concepts clearly to both technical and business audiences. Preferred Skills: Experience with ML Ops tools (MLFlow, SageMaker, Vertex AI). Exposure to cloud platforms like AWS, Azure, or GCP. Familiarity with data engineering workflows (ETL, feature stores, data pipelines). Publications or patents in relevant AI/ML fields are a plus. Role & responsibilities Preferred candidate profile

Skills required: Strong technical foundation in AI/ML, Data Science, Generative AI, AI Tools and Prompt Engineering. Ability to guide students in building projects and portfolios in relevant technologies. Must be able to confidently explain and simplify any concept in the mentioned technologies for diverse age groups and academic levels. Excellent communication skills in English and Hindi (both verbal and written). Strong planning and time management abilities. Strong public speaking and presentation skills Comfortable handling large groups and tailoring delivery methods to suit different institutions. Excellent stakeholder management handling clients, academic institutions, and internal teams. Willingness to take up training responsibilities as required. Role & responsibilities Lead Training Sessions: Deliver engaging and practical training sessions on AI/ML, Data Science, Generative AI, AI tools, and Prompt Engineering across colleges, schools, and premier institutions . Mentorship & Team Training: Train, guide, and mentor junior trainers from PHN Technology, ensuring content and delivery consistency. Content Development: Develop and continuously update training materials, live projects, and demos in line with current trends in AI/ML, Data science, GenAI Travel Readiness: Willingness and ability to travel extensively across India for conducting workshops and sessions as per schedule. Preferred candidate profile We are looking for a passionate and technically sound professional with a strong foundation in AI/ML, Data Science, Generative AI, AI tools, and Prompt Engineering . The ideal candidate should have a minimum of 5+ years of relevant experience in teaching, corporate training, or industry roles. A strong command over communication (both verbal and written) in English and Hindi is essential, along with the ability to clearly explain and simplify complex concepts to learners across diverse age groups and academic levels. Candidates should possess excellent public speaking and presentation skills , and be comfortable delivering sessions to large groups while tailoring the content as per institutional needs.

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Manager - AI Architect We are seeking a highly skilled AI Architect to design, develop, and oversee artificial intelligence (AI) and agentic solutions. You will be responsible for creating scalable AI architectures, integrating AI models / agentic solutions into enterprise systems, and ensuring alignment with business objectives . This role requires deep technical expertise , strategic thinking, and the ability to work with cross-functional teams. Responsibilities: AI Strategy & Architecture: Design and implement AI/ML architectures that align with business goals. Define best practices for AI model lifecycle management , including training, deployment, and monitoring. Ensure A gentic solutions are scalable, secure, and efficient for enterprise deployment. AI Development & Integration: Select the right AI frameworks, tools, and platforms for business needs. Oversee the development and integration of AI models into enterprise applications. Collaborate with data scientists and engineers to optimize AI models for performance and accuracy. Governance & Compliance: Establish AI governance frameworks to ensure ethical and responsible AI usage. Ensure compliance with data privacy laws (e.g., GDPR, CCPA) and industry regulations. Implement robust AI security measures to protect against adversarial attacks. Collaboration & Leadership: Work closely with business leaders, IT teams, and data science teams to translate requirements into AI solutions. Lead and mentor AI developers Stay updated with the latest AI trends and drive innovation in AI adoption within the organization. Qualifications we seek in you! Minimum qualifications: Technical Skills: Expertise in machine learning, deep learning, and NLP (TensorFlow, PyTorch , Hugging Face, etc.). Fine-tuning and Prompt Engineering - Optimizing LLMs like GPT-4, LLaMA , Claude, and Gemini for agentic behavior. Retrieval-Augmented Generation (RAG) - Integrating LLMs with knowledge bases for real-time decision-making. Agentic Frameworks - Proficiency in LangChain , AutoGPT , BabyAGI , or CrewAI for building autonomous agents. Strong knowledge of cloud AI platforms (AWS, Azure AI, Google Vertex AI). Proficiency in programming languages (Python, Java, R, etc.). Understanding of MLOps practices for model deployment and monitoring. Experience with API development and microservices architecture. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work in a fast-paced, cross-functional environment. Preferred Qualifications: Master&rsquos in Computer Science , AI, Data Science, or related fields. Certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Professional ML Engineer). Relevant years of experience in software development or equivalent Experience in AI ethics and bias mitigation (Optional) Why join Genpact Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career &mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up . Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Role Overview: We are looking for a ML/AI Gen AI Expert with 4-7 years of experience for executing AI/GenAI use cases as POCs . Media domain experience (OTT, DTH, Web) is a plus. Key Responsibilities: Identify, define, and deliver AI/ML and GenAI use cases in collaboration with business and technical stakeholders. Design, develop, and deploy models (ML and GenAI) using Google Clouds Vertex AI platform. Fine-tune and evaluate LLMs for domain-specific applications, ensuring responsible AI practices. Collaborate with data engineers and architects to ensure robust, scalable, and secure data pipelines feeding ML models. Document solutions, workflows, and experiments to support reproducibility, transparency, and handover readiness. Core Skills: Strong foundation in machine learning and deep learning, including supervised, unsupervised, and reinforcement learning. Hands-on experience with Vertex AI, including AutoML, Pipelines, Model Registry, and Generative AI Studio. Experience with LLMs and GenAI workflows, including prompt engineering, tuning, and evaluation. Python and ML frameworks proficiency (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers). Strong collaboration and communication skills to work cross-functionally with data, product, and business teams. Technical Skills: Vertex AI on Google Cloud Model training, deployment, endpoint management, and MLOps tooling. GenAI tools and APIs Hands-on with PaLM, Gemini, or other large language models via Vertex AI or open source. Python Proficient in scripting ML pipelines, data preprocessing, and model evaluation. ML/GenAI Libraries scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain. Cloud & DevOps Experience with GCP services (BigQuery, Cloud Functions, Cloud Storage), CI/CD for ML, and containerization (Docker/Kubernetes) Experience in the media domain (OTT, DTH, Web) and handling large-scale media datasets. Immediate Joiners.

Responbilities 8+ years in technology, including 2+ in AI/NLP or prompt engineering Proven experience with LLMs (GPT-4, Claude, Gemini, or open-source equivalents) Proficiency in Python and prompt orchestration using APIs and libraries Provident fund

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

AccioJob is conducting a Walk-In Hiring Drive with Atomic Loops for the position of AI/ML Developer Intern. To apply, register and select your slot here: https://go.acciojob.com/Nutt7V Required Skills: Python, AI, Prompting, ML understanding Eligibility: ALL Degree : ALL Branch: ALL Graduation Year: 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026 Work Details: Work Location: Pune (Onsite) CTC: 4 LPA to 5 LPA Evaluation Process: Round 1: Offline Assessment at AccioJob Pune Centre Further Rounds (for shortlisted candidates only): Profile & Background Screening Round, Company Side Process Important Note: Bring your laptop & earphones for the test. Company Side Process 2 rounds will be for intern role and 3 rounds will be for full-time role (Virtual or Face To Face) Register here: https://go.acciojob.com/Nutt7V

Greetings from AIS!! AIS (Applied Information Sciences) is a highly regarded software and systems engineering firm providing professional application development services to commercial and government clients since 1982. One of Microsofts oldest and largest Managed Gold partners in the U.S., AIS is exclusively focused on building enterprise-class custom applications using Microsoft technologies. As we continue to experience extraordinary growth, we are seeking professionals to join our AIS Team in India. For more information, please visit: http://www.ais.com https://www.ais.com/blog/ Full-time opportunity Exp.: Min. 8.0 Years Mode of work: Hybrid Work Location: Hyderabad Required Skills Working knowledge on Azure Open AI API Chat completions, responses etc. Development SDK like Semantic Kernel & Langchain Excellent knowledge of Prompt Engineering Knowledge of implementing RAG (Retrieval Augmented Generation) patterns in application Knowledge of implementing Chat Bots Vector data bases Microsoft CoPilot and integrations with it. Knowledge of Microsoft Azure AI services deployment and monitoring New services like Microsoft AI Foundry Familiarity with Microsoft Azure If you are interested, please reply to me to this email. Thanks & Regards, Meghana Reddy M Sr. Talent Aquisition Business Partner Email: meghana.mandhala@ais.com

Role & Responsibilities: Design & implement AI workflows to automate CRM, trip quotations, lead follow-ups, and customer chat/voice queries Build smart agents using GPT (chat + voice) for internal & customer use (OpenAI, Twilio, CallHippo) Integrate travel APIs (flights, hotels, activities) with our platform for live quotation generation Automate repetitive tasks using Make.com, Zapier, and internal tools Work with the Product and Creative teams to bring AI to media creation (photo/video sorting, customer albums, etc.) Develop performance dashboards, auto-suggestion tools, and smart seller assistants Stay up to date with AI trends in TravelTech and test applicable models for use Preferred Candidate Profile: 2 to 5 years of real-world experience in applied AI, automation, or backend systems Strong Python skills (FastAPI, LangChain, Pandas, etc.) Hands-on with OpenAI/GPT APIs, Twilio, WhatsApp integrations Familiarity with automation tools like Make.com, Zapier Passionate about travel, tech, and creating impact Bonus: Experience in e-commerce, SaaS, or travel-tech products

building various Machine Learning, Deep Learning regression experience in Generative AI tech stack Prompt engineering, ChatGPT Ollama,Gemini, RAG frameworks TensorFlow, Pytorch Huggingface librariesLlamaIndex Langchain Python Visualization Python

Job Title: QA Engineer About Straive: Straive is a trusted leader in building and operationalizing enterprise data and AI solutions for top global brands and corporations. Our key differentiators include extensive domain expertise across multiple industry verticals, coupled with cutting-edge data analytics and AI capabilities that drive measurable ROI for our clients. With a global presence spanning 30+ countries and a team of 18,000+ professionals, we integrate industry knowledge with scalable technology solutions and AI accelerators to deliver data-driven solutions to the world's leading organizations. Our headquarters are based in Singapore, with offices across the U.S., UK, Canada, India, the Philippines, Vietnam, and Nicaragua. Website: https://www.straive.com/ Linkedin Objective: We are looking for a proactive and detail-oriented QA Engineer to join our team for a data-intensive backend automation project. This role is centered around backend data quality checks, ensuring accuracy between document inputs and system-generated outputs using automation and AI technologies. Education & Experience: Bachelor's degree in Computer Science, Information Technology or a related field 3 to 4 Years Total IT Experience (Minimum 2 Years in Automation Testing) Knowledge, Skills and Abilities: Strong experience in Python, with a focus on data handling using Pandas. Familiarity with Selenium (basic UI automation) Hands-on with RegEx for text extraction and validation. Exposure to LLM (Large Language Models) like GPT, prompt engineering for data extraction tasks. Expert in QA Automation with a strong focus on integration testing and end-to-end validation. Proficient in API testing using Postman. Skilled in writing SQL queries for SQL Server (SSMS) and MySQL. Working knowledge of Maven, Jenkins and AWS in a CI/CD environment. Experienced in using JIRA for test case management and defect tracking. Strong functional testing skills including test planning, execution and regression testing. Proficient in using GitHub for version control and team collaboration. Excellent communication skills and ability to work with cross-functional teams across time zones(India & USA). Well-versed in STLC, BLC, and Agile/Scrum methodologies. Proactive in reporting status, raising issues and working in dynamic environments.