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Generative AI Application Developer

Generative AI Application Developer

Nityo InfotechBengaluru, Republic Of India, IN
30+ days ago
Job description

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 Confluence
  • Must-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.
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