Principal AI Software Engineer
4 days ago
Key job 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
years of non-internship professional software development experience
years of programming using JavaScript/TypeScript and multiple backend languages (Python preferred, , Java, or Go)
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 to be considered.
PREFERRED QUALIFICATIONS :
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 : Python, TypeScript/JavaScript, SQL, Go/Rust (for performance-critical components)
- Frontend : , , Advanced CSS frameworks, Progressive Web Apps, Micro-frontends
- Backend : , FastAPI, PostgreSQL, Redis, MongoDB, Event-driven architectures, Microservices
- AI/ML : OpenAI API, Anthropic Claude API, Advanced LangChain implementations, pgvector, Pinecone, Custom model deployments, Advanced agentic workflow frameworks
- Infrastructure : Enterprise AWS/Azure services, Advanced Kubernetes, Service mesh, Infrastructure as Code, Multi-region deployments
- Development Tools : GitHub Copilot, Advanced AI-assisted development environments, Custom tooling and automation
- Monitoring : Enterprise observability platforms, Advanced LLM cost monitoring, Performance optimization tools, Custom analytics
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