Crafting effective prompts that guide AI models toward specific outputs, considering the model's strengths and weaknesses Experimenting with different prompts, analyzing the AI's responses, and iteratively refining prompts for improved results Creating a collection of prompts for various tasks, applications, and scenarios, ensuring they are well-documented and easy to use Collaborating with product teams, data scientists, and engineers to integrate prompts into existing workflows and applications Using prompts to train and fine-tune AI models, improving their ability to understand and respond to user input Working with cross-functional teams to understand user needs, gather feedback, and ensure prompts meet specific requirements Ensuring that AI prompts are used responsibly and ethically, considering potential biases and unintended consequences Ensuring accuracy and precision in prompt design and testing, paying close attention to detail in AI responses Requirements Bachelor's degree in computer science, Engineering, or a related field 01 to 04 years of professional experience as an AI Prompt Engineer Familiarity with Git, RESTful APIs, Agile methodologies, and Azure-based deployments Understanding of NLP, ML, and AI principles, with familiarity and demonstrated hands-on experience with any one or few of the various AI models and tools like ChatGPT, Copilot, Claude, Gemini, Dall-E, PyTorch, Jax, Bolt.New, Cursor, Windsurf, Microsoft Intellicode, Tabnine, MS Power Platform Ability to craft clear, concise, and effective prompts that communicate complex information to AI models Analyzing AI outputs, identifying areas for improvement, and developing systematic prompt evaluation methodologies Troubleshooting issues with AI prompts, identifying and addressing potential biases, and ensuring AI responses align with user intent Effectively communicating technical concepts to non-technical stakeholders, collaborating with cross-functional teams, and gathering feedback Preferably candidates graduated from Premier Institutes (i.e., IIT, NIT, BITS...) Show more Show less
Coordinate and schedule interviews between candidates and hiring managers, ensuring an efficient interview process. Manage recruitment calendars and assist with interview planning for interviews. Maintain and update the applicant tracking system, ensuring accurate and timely candidate data entry. Screen resumes and conduct initial phone screenings to evaluate candidate qualifications and fit. Coordinate the onboarding process for new hires. Support employer branding initiatives and promote Exeevo as an employer of choice in the market. Assist in conducting recruitment-related research and market analysis to identify new sourcing strategies. Collaborate with HR team members to facilitate a seamless hiring process. Requirements 1-2 years of experience in recruitment coordination or human resources. Proficient in Microsoft Office Suite (Word, Excel, PowerPoint) and experience with applicant tracking systems (ATS). Strong organizational skills and an ability to manage multiple priorities in a fast-paced environment. Excellent verbal and written communication skills. Understanding of various recruitment methods and best practices. A bachelor's degree in Human Resources, Business Administration, or a related field is preferred. Ability to work collaboratively with a diverse team and contribute to a positive work culture.
You will be responsible for coordinating and scheduling interviews between candidates and hiring managers to ensure a smooth and efficient interview process. Additionally, you will manage recruitment calendars and assist in interview planning. It will be your duty to maintain and update the applicant tracking system, ensuring accurate and timely candidate data entry. As part of your role, you will screen resumes and conduct initial phone screenings to assess candidate qualifications and fit. You will also coordinate the onboarding process for new hires and support employer branding initiatives to position Exeevo as an employer of choice in the market. Furthermore, you will assist in conducting recruitment-related research and market analysis to identify new sourcing strategies, working closely with HR team members to facilitate a seamless hiring process. To qualify for this position, you should ideally have 1-2 years of experience in recruitment coordination or human resources. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint) and experience with applicant tracking systems (ATS) is required. Strong organizational skills, the ability to manage multiple priorities in a fast-paced environment, and excellent verbal and written communication skills are essential. Moreover, you should have an understanding of various recruitment methods and best practices. While a bachelor's degree in Human Resources, Business Administration, or a related field is preferred, the ability to work collaboratively with a diverse team and contribute to a positive work culture is crucial for success in this role.,
About Exeevo: Exeevo is a global leader in customer relationship management (CRM) solutions, purpose-built for the Life Sciences industry. Our AI-powered, cloud-based platform unifies sales, marketing, medical, and service functions, enabling pharmaceutical, biotech, and medical device organizations to connect with stakeholders in transformative and innovative ways. By leveraging advanced technologies, Exeevo empowers Life Sciences companies to redefine how they engage with healthcare professionals, patients, and other key audiences, driving growth and delivering measurable business impact. Serving thousands of users across pharmaceutical and medical device companies globally, Exeevo has a strong international presence with offices in China, India, Europe, and North America. AI Developer Position Overview We are seeking an experienced Agentic AI Developer to build sophisticated AI agent applications that orchestrate Large Language Models (LLMs) and create intelligent, autonomous workflows. This role focuses on developing production-ready agentic AI systems. You'll have the opportunity to expand your skills in modern UI frameworks (Flutter/ReactJS) while working alongside diverse architecture teams. Key Responsibilities Agentic AI Development Design and build multi-agent AI applications with complex reasoning and decision-making capabilities Implement LLM orchestration pipelines using frameworks like LangChain, AutoGen, CrewAI, or similar orchestration engines Develop intelligent agent workflows that can plan, execute, and adapt tasks autonomously Create agent-to-agent communication systems and collaborative AI workflows Build tool-calling and function-calling capabilities for AI agents LLM Integration & Orchestration Integrate and orchestrate LLMs (OpenAI, Azure OpenAI, Anthropic Claude, open-source models) Implement LLM routing, fallback strategies, and cost optimization across different models Design prompt engineering pipelines and dynamic prompt generation systems Build context management and memory systems for long-running agent conversations Develop evaluation frameworks for agentic AI system performance Application Development Integrate agentic AI capabilities into mobile and web applications Learn and apply Flutter or ReactJS frameworks for AI-powered user interfaces Build conversational AI interfaces that support complex, multi-turn agent interactions Develop real-time streaming interfaces for agent reasoning and execution Create intuitive UX/UI for human-agent collaboration workflows Integration & Deployment Integrate AI agents with Dynamics 365 Sales and Power Platform applications Develop intelligent automations using Power Automate with agentic AI capabilities Build REST API endpoints for agent orchestration and management Implement monitoring, logging, and observability for production agent systems Requirements Mandatory Agentic AI Skills 2+ years hands-on experience building agentic AI applications or multi-agent systems Proven experience with LLM orchestration frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar) E xperience with at ifferent LLM providers Agent workflow design including planning, reasoning, and execution cycles Tool integration for AI agents (APIs, databases, external services) Core Technical Requirements Programming Languages : Python (primary) AI Platforms : Azure OpenAI, OpenAI API, experience with open-source LLM APIs RAG (Retrieval-Augmented Generation) integration with agent systems Vector database integration for agent memory and knowledge Development Tools : REST APIs, Azure DevOps Orchestration Experience : Building complex, stateful AI workflows and pipelines
Description Coordinate and schedule interviews between candidates and hiring managers, ensuring an efficient interview process. Manage recruitment calendars and assist with interview planning for interviews. Maintain and update the applicant tracking system, ensuring accurate and timely candidate data entry. Screen resumes and conduct initial phone screenings to evaluate candidate qualifications and fit. Coordinate the onboarding process for new hires. Support employer branding initiatives and promote Exeevo as an employer of choice in the market. Assist in conducting recruitment-related research and market analysis to identify new sourcing strategies. Collaborate with HR team members to facilitate a seamless hiring process. Requirements 1-2 years of experience in recruitment coordination or human resources. Proficient in Microsoft Office Suite (Word, Excel, PowerPoint) and experience with applicant tracking systems (ATS). Strong organizational skills and an ability to manage multiple priorities in a fast-paced environment. Excellent verbal and written communication skills. Understanding of various recruitment methods and best practices. A bachelor's degree in Human Resources, Business Administration, or a related field is preferred. Ability to work collaboratively with a diverse team and contribute to a positive work culture.
Exeevo is a global leader in customer relationship management (CRM) solutions, purpose-built for the Life Sciences industry. Our AI-powered, cloud-based platform unifies sales, marketing, medical, and service functions, enabling pharmaceutical, biotech, and medical device organizations to connect with stakeholders in transformative and innovative ways. By leveraging advanced technologies, Exeevo empowers Life Sciences companies to redefine how they engage with healthcare professionals, patients, and other key audiences, driving growth and delivering measurable business impact. Serving thousands of users across pharmaceutical and medical device companies globally, Exeevo has a strong international presence with offices in China, India, Europe, and North America. About the Role: We are seeking a talented and driven Data Scientist to join our team in the life sciences industry. The ideal candidate will be responsible for a complete end-to-end data lifecycle, from ingesting raw data from Dataverse and external sources to building and deploying machine learning models in a production environment. The successful candidate will have a strong technical background, a deep understanding of data science fundamentals, and excellent communication skills. Requirements Responsibilities: Data Ingestion and Engineering: Acquire and process raw data from various sources, including Microsoft Dataverse and third-party applications. Design and implement robust data pipelines on the Azure platform to clean, transform, and prepare data for analysis and model training. Machine Learning Model Development & Deployment: Develop, train, and evaluate machine learning models for specific business problems, such as Next Best Action (NBA) and content recommendations. Utilize the Azure ML stack to deploy models into production, ensuring seamless and scalable consumption by Dynamics and custom applications. Collaboration & Communication: Work closely with clients to understand their data requirements and business needs. Use data visualization to communicate complex insights and model results to both technical and non-technical stakeholders. Collaborate with data engineers and product teams to ensure data quality, pipeline efficiency, and product alignment. Skills and Qualifications: Mandatory Skills & Experience: Technical Foundation: Programming Proficiency: Mastery of Python and/or R, with strong SQL skills for data manipulation. Hands-on experience with critical libraries such as pandas, NumPy, scikit-learn, and deep learning frameworks like TensorFlow or PyTorch. Machine Learning Algorithms: Deep understanding of supervised and unsupervised learning, ensemble methods, and deep learning architectures. Proven ability to apply appropriate techniques for regression, classification, clustering, and neural network models. Data Expertise: Data Wrangling & Engineering: Expertise in cleaning, transforming, and preparing messy, real-world data. This includes handling missing values, identifying outliers, and performing advanced feature engineering. Data Visualization & Storytelling: Ability to create compelling data visualizations using tools like Matplotlib, Plotly, or Tableau to effectively communicate insights and tell a data-driven story. Azure & Cloud Experience: Proven experience in designing and implementing data pipelines in an Azure environment. Soft Skills: Excellent verbal and written communication skills with the ability to articulate complex technical concepts to a diverse audience, including clients and internal teams. Strong problem-solving and analytical skills with a proactive approach to identifying and addressing business challenges. Demonstrated ability to work effectively in a collaborative, team-oriented environment.
Description We're seeking a Full Stack Developer to lead modernization efforts across a legacy VB6/WinForms product, with early focus on reporting, and long-term transition to a modern, SaaS-ready architecture. Key Responsibilities Collaborate on the gradual replacement of Crystal Reports with web-based reporting solutions. Analyze and enhance a complex legacy .NET 4.x / VB6 system, identifying safe modernization paths. Design modular, modern components using PostgreSQL, Node.js, Python, and React. Partner with QA, product, and leadership to reduce risk while improving product velocity and stability. Help build a sustainable modernization strategy (Strangler Fig pattern), preserving schema compatibility and avoiding downtime. Qualifications Strong backend development experience in .NET and/or modern open-source stacks (Node.js, Python, Postgres). Familiarity with legacy systems and confidence working in complex, high-stakes codebases. Prior experience replacing Crystal Reports or similar legacy tools is a strong plus. Strong architectural instincts and ability to work with legacy schemas and data contracts. Bonus: knowledge of cloud hosting, containerization, or SaaS product delivery models.