Senior Software Engineering - Generative AI & Agentic AI

• Design, develop, and deploy innovative Generative AI and Agentic AI solutions using Python and modern AI engineering frameworks.
• Build intelligent applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and agent orchestration frameworks.
• Create autonomous AI agents capable of reasoning, planning, tool utilization, decision-making, and multi-step workflow execution.
• Integrate AI solutions with enterprise platforms, APIs, databases, cloud services, and business applications.
• Develop, test, deploy, and monitor scalable, secure, and production-ready AI/ML applications.
• Optimize models, prompts, and AI agents to improve accuracy, performance, latency, reliability, and user experience.
• Collaborate with engineering, product, architecture, and business stakeholders to identify opportunities and deliver AI-driven business outcomes.
• Establish and apply best practices for AI development, including governance, observability, security, compliance, and Responsible AI principles.
• Evaluate emerging AI technologies and recommend innovative approaches to accelerate enterprise adoption and business value realization.
• Mentor team members and contribute to the advancement of AI engineering standards, methodologies, and technical excellence.

• 3+ years software Engineering experience
• Strong proficiency in Python and software engineering best practices for enterprise application development.
• Hands-on experience developing and deploying Generative AI solutions using Large Language Models (LLMs) and Prompt Engineering techniques.
• Expertise with Agentic AI frameworks, including experience building autonomous agents that can reason, plan, and execute tasks.
• Experience with LangChain, LangGraph, LangChain.js, and other AI orchestration frameworks.
• Knowledge of Retrieval-Augmented Generation (RAG) architectures, vector databases, embedding models, and semantic search.
• Experience integrating AI solutions with enterprise data sources, APIs, and systems.
• Familiarity with Model Context Protocol (MCP) and tool-enabled AI architectures.
• Experience using AI-powered development tools such as GitHub Copilot, ChatGPT, AskDev.
• Working knowledge of Node.js for AI application development.
• Experience with data preparation, data categorization, and establishing data sources for AI applications.
• Familiarity with AutoML, AI model evaluation, monitoring, and optimization techniques.
• Experience leveraging Power Automate or similar workflow automation platforms to integrate AI capabilities into business processes.
• Strong understanding of cloud-native application development, software architecture, and enterprise integration patterns.
• Excellent problem-solving, communication, and cross-functional collaboration skills.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. Advanced degree preferred.

Ready to join our team? Apply today.