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 www.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