Job Description
Role Overview:
We are seeking a highly skilled and innovative Senior AI Developer with deep expertise in building AI Agents and Retrieval-Augmented Generation (RAG) applications. The ideal candidate will have hands-on experience with a variety of Gen AI frameworks, and exposure to Copilot Studio and Power Automate, enabling seamless integration of intelligent workflows across enterprise platforms.
Key Responsibilities:
Design, develop, and deploy advanced AI Agents capable of autonomous task execution, contextual understanding, and conversational interactions.
Architect and implement RAG pipelines using vector databases, embedding models, and document retrieval systems to enhance LLM capabilities.
Develop and integrate Gen AI solutions with Copilot Studio and Power Automate to build intelligent business process automations.
Collaborate with cross-functional teams including data scientists, product managers, and business stakeholders to translate requirements into scalable AI solutions.
Optimize performance, latency, and accuracy of Gen AI models in production environments.
Stay current with the latest advancements in LLMs, agentic workflows, and Gen AI tooling to continuously improve solution quality.
Mentor junior developers and contribute to internal knowledge sharing and best practices.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field.
5+ years of experience in AI/ML development, with at least 2 years focused on Generative AI.
Hands-on experience with Copilot Studio, Power Automate, Dataverse, Microsoft Fabric for building intelligent workflows and business applications.
Hands-on experience in Azure AI Services like Azure Open AI Service, Azure AI Studio, and Azure services like Azure Functions, Azure Kubernetes Service, Azure Blob Storage, Azure Cosmos DB, Azure Bot Service, Azure SDKs.
Proven experience in building AI Agents using frameworks like Lang Chain, Lang Graph, Semantic Kernel, Haystack, or similar.
Strong understanding of RAG architecture, including document chunking, embeddings, vector stores (e.g., FAISS, Pinecone, Weaviate), and LLM integration.
Proficiency in Python, Java Script frameworks, REST API development, and Mongo DB.
Experience with cloud platforms (Azure, AWS, GCP) and deploying Gen AI solutions at scale.
Familiarity with prompt engineering, model fine-tuning, evaluation techniques and building guardrails.
Experience in building enterprise-grade Gen AI platforms.
Knowledge of enterprise data governance, security, and compliance in AI applications.
Exposure to MLOps and CI/CD pipelines for AI model deployment.
Excellent communication and stakeholder management skills.
We are seeking a highly skilled and innovative Senior AI Developer with deep expertise in building AI Agents and Retrieval-Augmented Generation (RAG) applications. The ideal candidate will have hands-on experience with a variety of Gen AI frameworks, and exposure to Copilot Studio and Power Automate, enabling seamless integration of intelligent workflows across enterprise platforms.
Key Responsibilities:
Design, develop, and deploy advanced AI Agents capable of autonomous task execution, contextual understanding, and conversational interactions.
Architect and implement RAG pipelines using vector databases, embedding models, and document retrieval systems to enhance LLM capabilities.
Develop and integrate Gen AI solutions with Copilot Studio and Power Automate to build intelligent business process automations.
Collaborate with cross-functional teams including data scientists, product managers, and business stakeholders to translate requirements into scalable AI solutions.
Optimize performance, latency, and accuracy of Gen AI models in production environments.
Stay current with the latest advancements in LLMs, agentic workflows, and Gen AI tooling to continuously improve solution quality.
Mentor junior developers and contribute to internal knowledge sharing and best practices.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field.
5+ years of experience in AI/ML development, with at least 2 years focused on Generative AI.
Hands-on experience with Copilot Studio, Power Automate, Dataverse, Microsoft Fabric for building intelligent workflows and business applications.
Hands-on experience in Azure AI Services like Azure Open AI Service, Azure AI Studio, and Azure services like Azure Functions, Azure Kubernetes Service, Azure Blob Storage, Azure Cosmos DB, Azure Bot Service, Azure SDKs.
Proven experience in building AI Agents using frameworks like Lang Chain, Lang Graph, Semantic Kernel, Haystack, or similar.
Strong understanding of RAG architecture, including document chunking, embeddings, vector stores (e.g., FAISS, Pinecone, Weaviate), and LLM integration.
Proficiency in Python, Java Script frameworks, REST API development, and Mongo DB.
Experience with cloud platforms (Azure, AWS, GCP) and deploying Gen AI solutions at scale.
Familiarity with prompt engineering, model fine-tuning, evaluation techniques and building guardrails.
Experience in building enterprise-grade Gen AI platforms.
Knowledge of enterprise data governance, security, and compliance in AI applications.
Exposure to MLOps and CI/CD pipelines for AI model deployment.
Excellent communication and stakeholder management skills.
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