Pay Range: $50 - $ 65

**About the Role**

We are seeking a highly skilled AI/M L Engineer to design, develop, and deploy modern AI solutions. This role combines front-end and back-end engineering with Generative AI, RAG pipelines, M L model development, M LOps, and enterprise-scale cloud deployment. You will collaborate with architects, software engineers, data engineers, and business stakeholders to translate requirements into production-grade AI-powered software solutions. The ideal candidate brings strong software engineering fundamentals combined with hands-on experience developing and operationalizing AI/M L solutions on MS Azure.

**Responsibilities**

• Build Generative AI & Retrieval-Augmented Generation LLM Applications
• Develop applications for text generation, summarization, Q&A, conversational AI, and enterprise knowledge search.
• Create RAG pipelines using embeddings, vector databases, knowledge bases, and grounding techniques with enterprise data.
• Implement Azure OpenAI, Cognitive Search, and related services to build secure, compliant GenAI solutions.
• Integrate LLMs into backend applications, microservices, and enterprise platforms.
• Optimize prompts, system instructions, and orchestration patterns to ensure quality, reliability, and cost efficiency.
• AI Agents & Agentic Automation
• Design and implement single agent and multi-agent systems for intelligent automation and decision-making.
• Build autonomous and semi-autonomous agents that perceive, plan, act, and interact with tools, APIs, and event-driven systems.
• Develop agentic workflows for complex enterprise processes using Azure and modern orchestration frameworks.
• M L Model Based AI (Classical M L & Deep Learning)
• Design, develop, and deploy classical M L and deep learning models using platforms such as Azure Machine Learning, PyTorch, and Scikit Learn.
• Perform data preprocessing, feature engineering, model training, hyperparameter tuning, validation, and performance optimization.
• Ensure resilience, scalability, and lifecycle management for all production models. - Work with large-scale datasets, performing data preprocessing, feature engineering, and model validation.
• Deploy AI models using cloud-based platforms such as Azure AI/M L.
• Ensure AI/M L solutions align with enterprise security, compliance, and governance standards.

**Education Qualification**

• Bachelor's degree (or international equivalent) and 7+ years of relevant experience or 11+ years of relevant work experience without a degree.

**Required Skills**

• 3-5 years of experience in AI/M L development, including designing and deploying M L models.
• Good knowledge and understanding of RESTful API principles.
• Good understanding of relational databases and querying using SQL.

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually – as applicable.