Principal AI Software

Role & responsibilities

As a Principal AI Software Engineer, you will drive technical strategy and excellence across multiple initiatives while leading complex AI system development.

Strategic Technical Leadership:

• Define and drive technical vision and architecture for AI-native applications across multiple product areas
• Act as an enabler for successful execution of identified projects
• Lead cross-functional technical initiatives, collaborating with engineering leadership, product management, and data science teams
• Establish technical standards, design patterns, and best practices for AI-augmented development across the organization
• Drive technical decision-making for complex systems that span multiple teams and products
• Make decisions with confidence when problems or solutions are not well defined
• Manage risk and uncertainty for self and team within a dynamic priority-setting environment
• Contribute as a thought leader within the team, and help to refine current state as well as future state plans and product roadmaps

Advanced AI Systems Architecture:

• Design and architect enterprise-scale full stack applications with sophisticated AI integrations across natural language processing, computer vision, and predictive analytics
• Lead the development of complex, multi-tenant AI systems serving millions of users with high availability and performance requirements
• Architect advanced RAG (Retrieval-Augmented Generation) systems, agentic workflows, and autonomous AI architectures
• Design cost-efficient, scalable LLM integration strategies across multiple providers with advanced optimization and failover mechanisms
• Establish frameworks for AI model evaluation, A/B testing, and performance optimization at enterprise scale

Cross-Team Technical Influence:

• Drive adoption of emerging AI technologies and evaluate their strategic impact on product development
• Lead technical due diligence and integration planning for major AI technology decisions
• Collaborate with external partners, vendors, and research institutions on cutting-edge AI initiatives
• Establish monitoring, observability, and cost management frameworks for AI systems across the organization
• Contribute to open source projects and represent the company at technical conferences and industry events

Engineering Excellence & Innovation:

• Champion engineering best practices including comprehensive testing, code quality, security, and scalability standards
• Expert in Agile Development
• Lead investigation and proof-of-concept development for emerging AI technologies and methodologies
• Drive technical innovation initiatives that differentiate our AI capabilities in the market
• Establish and maintain technical documentation, architectural decision records, and knowledge sharing practices
• Lead incident response and post-mortem processes for complex AI system issues

REQUIRED QUALIFICATIONS

• Masters Degree in Electrical, Computer Science, Computer Engineering, Robotics or related field
• 10+ years of non-internship professional software development experience
• 12+ years of programming using JavaScript/TypeScript and multiple backend languages (Python preferred, Node.js, Java, or Go)
• 6+ years of experience with modern front-end frameworks (React, Vue, or Angular) and advanced state management patterns
• Proven track record designing and shipping complex production applications that incorporate LLMs or AI services at enterprise scale (1M+ users)
• Advanced expertise in prompt engineering, model optimization, and deep understanding of AI system limitations and capabilities
• Demonstrated experience with agentic workflows and autonomous AI system architectures
• Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship
• Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS), orchestration, and infrastructure as code (GitOps)
• Strong background in system design, scalability, and performance optimization for high-traffic applications
• Must be willing to work out of an office located in Bangalore JFWTC Campus
• You must submit your application for employment on the careers page at www.careers.gevernova.com to be considered.

PREFERRED QUALIFICATIONS

• 18+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization
• Expert-level experience with vector databases (Pinecone, Weaviate, pgvector) and advanced embedding model optimization
• Deep expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks)
• Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale
• Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models
• Track record of building and scaling AI-powered features for 10M+ users with high availability requirements
• Expert knowledge of AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale
• Master's degree or PhD in computer science, AI/ML, or equivalent advanced technical education
• Extensive experience with agent architectures, autonomous AI systems, and cutting-edge agentic workflow implementations
• Background in machine learning research, AI safety, or advanced AI system design
• Experience with technical strategy development and technology roadmap planning

Technical Stack

Languages: