Sr. Staff Software Engineer - AI-Augmented Full Stack

Key job responsibilities

As a Sr. Staff Software Engineer, you will lead complex technical initiatives while providing oversight and guidance across multiple development streams.

Technical Leadership & Architecture:

• Lead the design and architecture of enterprise-scale full stack applications using modern frameworks and AI-assisted development workflows
• Provide technical oversight and mentorship for third-party contractors, ensuring deliverables meet architectural standards and integrate seamlessly with internal systems
• Drive technical decision-making across projects, establishing patterns and best practices for AI-augmented development
• Collaborate closely with external development teams, conducting code reviews, technical assessments, and integration planning

Advanced Development & AI Integration:

• Architect and implement sophisticated full stack applications incorporating advanced AI capabilities such as natural language processing, computer vision, and predictive analytics
• Lead the development of complex RESTful APIs and microservices with enterprise-grade AI integrations
• Design and implement advanced RAG (Retrieval-Augmented Generation) systems and multi-modal AI architectures
• Architect and implement agentic workflows that enable autonomous AI systems to perform complex, multi-step tasks with minimal human intervention

Team Leadership & Process Excellence:

• Provide mentorship to junior engineers and guide technical growth across the organization
• Expert in Agile Development
• Establish and enforce comprehensive testing strategies for AI-integrated features, including advanced prompt regression testing and model performance validation
• Drive adoption of AI development best practices while maintaining high standards for code quality and system reliability

Strategic Technical Contributions:

• Evaluate and integrate emerging AI technologies and tools to maintain competitive advantage
• Lead technical due diligence and integration planning for third-party AI services and contractor deliverables
• Contribute to technical strategy and roadmap planning for AI-native product development
• Establish monitoring, observability, and cost management frameworks for AI systems at scale

Required Qualifications

• Bachelors Degree in Computer Science, Electrical Engineering, Aerospace Engineering, or related disciplines
• 8+ years of non-internship professional software development experience
• 7+ years of programming using JavaScript/TypeScript and at least one backend language (Python preferred, Node.js, Java, or Go)
• 4+ years of experience with modern front-end frameworks (React, Vue, or Angular) and advanced state management
• Proven track record shipping complex production applications that incorporate LLMs or AI services at enterprise scale
• Advanced experience with prompt engineering, model optimization, and understanding of AI system limitations
• Familiarity with agentic workflows and autonomous AI system design patterns
• Demonstrated experience leading technical teams and providing guidance to external contractors or vendors
• Strong experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (Docker, Kubernetes)
• Experience with technical oversight, code review processes, and quality assurance methodologies
• 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 careers.gevernova.com to be considered

PREFERRED QUALIFICATIONS

• 13+ years of full software development life cycle experience, including architecture design, technical leadership, and system optimization
• Advanced experience with vector databases (Pinecone, Weaviate, or pgvector) and embedding model optimization
• Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex)
• Deep understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at scale
• Experience with multi-modal AI integration and advanced model fine-tuning
• Track record of building and scaling AI-powered features for 100k+ users
• Experience with AI observability tools, cost optimization, and performance monitoring at enterprise scale
• Master's degree in computer science, AI/ML, or equivalent advanced technical education
• Experience with agent architectures, autonomous AI systems, and advanced agentic workflow implementations

Technical Stack

Languages: Python, TypeScript/JavaScript, SQL

Frontend: React/Next.js, Vue.js, Advanced CSS frameworks, Progressive Web Apps

Backend: Node.js/Express, FastAPI, PostgreSQL, Redis, MongoDB, Microservices architecture

AI/ML: OpenAI API, Anthropic Claude API, Advanced LangChain implementations, pgvector, Pinecone, Custom model integrations, Agentic workflow frameworks

Infrastructure: AWS/GCP enterprise services, Advanced Docker/Kubernetes, CI/CD pipelines, Infrastructure as Code

Development Tools: GitHub Copilot, Advanced AI-assisted development environments, Custom tooling

Monitoring: Enterprise observability stack, LLM cost monitoring, Performance optimization tools