Software Engineer AI - Artificial Intelligence

• Bachelor’s degree in Computer Science, Computer Engineering, Machine Learning, or related technical field
• 5+ years of professional software engineering experience with strong proficiency in Python and experience with Java
• 2+ years of hands-on production GenAI experience, including:
• Building and deploying AI Agentic systems or autonomous agents in production environments
• Architecting context engineering solutions including dynamic context assembly, memory systems, and agentic retrieval patterns
• Designing multi-agent orchestration and multi-hop reasoning pipelines
• Implementing agent planning strategies, tool orchestration, and human-in-the-loop patterns
• Prompt engineering, function calling, and tool-use implementations
• Proven track record of shipping production-grade AI/ML systems that delivered measurable business value
• Strong experience with agentic frameworks, particularly ADK (Agentic Design Kit) and LangGraph, or similar modern agent orchestration tools
• Strong understanding of software design patterns, SOLID principles, and clean architecture applied to AI systems
• Experience with CI/CD pipelines, containerization (Docker), and cloud infrastructure

• Design and Deploy Production AI Agentic Systems: Architect, build, and deploy autonomous AI agents using state-of-the-art frameworks like ADK (Agentic Design Kit) and LangGraph that leverage LLMs to automate code reviews, quality analysis, and development workflow optimization at scale
• Architect Advanced Context Engineering Solutions: Design sophisticated context engineering strategies including dynamic context assembly, agentic retrieval patterns, memory systems (episodic and working memory), and multi-hop reasoning pipelines for complex code analysis tasks
• Develop AI-Powered Automation Tools: Build intelligent backend services in Python and Java that leverage GenAI to detect anti-patterns, suggest improvements, and standardize development workflows
• Establish AI-Enhanced Engineering Excellence: Define and implement coding standards and best practices specifically for GenAI systems, including LLM evaluation metrics, guardrails, and responsible AI principles
• Lead AI-Powered Code Reviews: Conduct comprehensive code reviews using state-of-the-art GenAI tools and agents, providing architectural guidance on performance, security, and AI system design

Contact Details:

This is a high-visibility opportunity where your software engineering expertise will directly impact our Customer’s engineering user experiences.

Originally posted on Himalayas