AI Agent Development & LLM Integration
- Build AI agents using frameworks like LangGraph, Autogen, Crew, or PydanticAI.
- Design and optimize prompt engineering workflows for LLMs (e.g., GPT, Claude, LLaMA).
- Develop modular, reusable components for agent orchestration and task automation.
Model Deployment & Infrastructure
Deploy models using Databricks and Azure ML, integrating with enterprise-grade systems.Implement APIs, WebSockets, and event-driven architectures for real-time AI services.Collaborate with platform teams to ensure scalable and secure deployments.Development & Automation
Work with CI / CD pipelines using Jenkins to automate testing and deployment.Use GitHub Copilot, Windsurf, Codeium, or similar tools to accelerate development.Maintain high code quality and documentation standards using Git, Jira, and ConfluenceMust-Have Skills :
3–5 years of experience working Machine Learning / Artificial Intelligent or related fields.1+ years of experience building Generative AI Applications for enterprise, deep understanding of workflows like RAG.Strong proficiency in Python and modern development practices.Hands-on experience with LLMs and prompt engineering.Experience building AI agents using at least one of Lang Graph, Crew, or PydanticAI.Familiarity with Databricks and cloud-native deployment strategies.Understanding of REST APIs, WebSockets, and event-driven systems.Familiarity with SDLC best practices and agile methodologies.Proficiency with using CI / CD tools (Jenkins) and version control (Git).Comfortable using AI-augmented development tools for rapid prototyping.Nice-to-Have Skills :
Exposure to MLOps / LLMOps workflows and model monitoring.Knowledge of enterprise security, compliance, and governance in AI systems.Exposure to best practices for code and model lifecycle management.Soft Skills & Mindset :
Strong analytical and problem-solving skills.Excellent communication and collaboration abilities.Self-starter with a growth mindset and curiosity for emerging AI trends.Ability to work in cross-functional teams and adapt to evolving priorities.