AI/ML Engineer - Generative AI Apps
AI/ML Engineer - Generative AI Apps
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Job Description
Role : AI/ML Engineer
Location : Bangalore, KA (Working from Office / Hybrid)
Job Description
AI Agent Development & LLM Integration :
Location : Bangalore, KA (Working from Office / Hybrid)
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.
- 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.
- 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
- 4 to 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.
- 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.
- 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.
More Info
Key Skills
LLMs
Codeium
PydanticAI
LangGraph
GitHub Copilot
WebSockets
Autogen Crew
Prompt Engineering
Event-driven architectures
Windsurf
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