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Agentic AI Engineer

Genpact · Bengaluru, Karnataka, India - Delhi, Delhi, India - Kolkata, West Bengal, India - San Carlos, Rio San Juan, Nicaragua

3–10 yrs experiencefull_timePosted 4w ago
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Job description

**Role & responsibilities** - Good Understanding of LLMs and Gen AI technologies. (Azure Open AI, Lang Chain etc.) - Experience in Agentic AI and its architecture. - Reactive Machines - Limited Memory AI - Theory of Mind AI - Self-aware AI - Create and refine prompts that guide gen AI models to produce accurate and relevant outputs. - Ensure prompts align with project objectives and user needs. - Work with data scientists and AI developers to fine-tune model parameters based on prompt effectiveness. - Implement strategies to improve model responses. - Develop transformative AI/ML solutions to address our clients' business requirements and challenges - Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning - Excellent knowledge on Python - Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. - Experience in AI/ML Architecture . - Verifying data quality, and/or ensuring it via data cleaning - Defining validation strategies & data augmentation pipelines - Designing, developing, and researching Machine Learning systems, models, and schemes - Good working knowledge on deep learning and advanced NLP techniques - Analysing the use cases of ML algorithms and ranking them by their success probability • Should be excellent with Rasa Framework or any other chatbot interface. - Performing statistical analysis and using results to improve models. - Training and retraining ML systems and models in real-world situations - Visualizing data for deeper insights - Hands-On with Service / Incident Management tools: JIRA / ServiceNow - Exposure to cloud platform (AWS/Azure) **Minimum Qualifications** - Strong understanding of statistical methods and their applications - Experience in Machine Learning methodologies (Supervised/Unsupervised) - Apply statistical techniques to analyze data and generate actionable insights. - Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms - Certifications in AI/ML or GenAI (optional to have certification) - Familiarity with Generative AI technologies, Design and Implement GenAI Solutions - Collaborate with service line teams to design, implement and manage Gen-AI solution - Deep learning frameworks such as TensorFlow, Keras, Torch, Theano Technology - Very good python, SQL programming skills. Java programming skills a plus - AI and GenAI