Lead/Sr. AI/ML Engineer : Bangalore: ITPL

Please share your resume to [email protected] / Call: 8867163603 for more details.

Work Location: Hybrid (3 days/week), Bangalore - ITPL

Bangalore Office: GyanSys Infotech, Prestige Shantiniketan (PSN) Tech Park, ITPL Road, Whitefield, Bangalore - 560048.

Job Description:

Job Title: Sr. AI/ML Engineer

Experience: 3-5+ Years relevant experience

Job Type: Full-Time

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.

Application Deployment & Infrastructure

• Deploy models using Databricks and ARO/AKS (Azure), integrating with enterprise-grade systems.
• Implement APIs, WebSockets, and event-driven architectures for real-time AI services. (Nice to have)

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 Claude code, 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.
• Familiarity with Databricks and cloud-native deployment strategies.
• Understand 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.
• Knowledge of enterprise security, compliance, and governance in AI systems.

Nice-to-Have Skills:

• Exposure to MLOps/LLMOps workflows and model monitoring.
• 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.