Senior GenAI/Agentic AI Engineer

This role is for one of our clients Industry: Software Development Seniority level: Mid-Senior level Experience: 4+ yrs Location: Remote (India) Job Type: full-time We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. This is a full-time Remote role for a Generative AI Engineer and ML expert. You can work from home (anywhere in INDIA, job location is in India) and will be responsible for researching and developing our platform with cutting-edge AI agents.

Requirements Qualifications

• Experience in AI/GenAI solution for prompt engineering, architecture, consulting, and enterprise architecture
• Experience in software development
• Excellent communication skills (customer facing position)
• A deep understanding of GenAI/ML technologies and their implementations
• Experience in the financial, healthcare, or insurance industries is a plus
• Bachelor's/Master's degree in Computer Science/data science or related field
• Demonstrated expertise in statistical analysis and machine learning concepts, with proficiency in Python
• Solid understanding and experience in designing, implementing, and optimizing end-to-end machine learning pipelines Minimum 5+ years of experience in Generative AI and Minimum 2+ years in traditional Machine Learning, with a focus on the creation, training, and deployment of services such as recommendation engines, deep learning, and generative AI models.
• LLM (GPT); prompt engineering for reflex, model and self-learning agents
• Facility with Python to code wrappers, interface with APIs, develop utilities
• Experience with packages such as LangChain and LangGraph
• Experience with assembling intelligent AI agents to implement variety of use cases
• A recent use case for Agentic AI powered by LLMs: NLQ to SQL translator
• You MUST have the ability to think through clearly for a solution design, Experienced in Large Language Models, Transformers, CNN, TensorFlow, Scikit-learn, Pytorch, NLP libraries, Embedding Models, Vector Databases Hands-on experience with OpenAI, Llama/Llama2 and other open-source models, and Azure OpenAI models Education- Engineering, Math and Statistics foundation, (Data Science/Computer Science preferred)

Requirements Added By The Job Poster

• Bachelor's Degree