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 analyticsLead the development of complex RESTful APIs and microservices with enterprise-grade AI integrationsDesign and implement advanced RAG (Retrieval-Augmented Generation) systems and multi-modal AI architecturesArchitect and implement agentic workflows that enable autonomous AI systems to perform complex, multi-step tasks with minimal human interventionTeam Leadership & Process Excellence :
Provide mentorship to junior engineers and guide technical growth across the organizationExpert in Agile DevelopmentEstablish and enforce comprehensive testing strategies for AI-integrated features, including advanced prompt regression testing and model performance validationDrive adoption of AI development best practices while maintaining high standards for code quality and system reliabilityStrategic Technical Contributions :
Evaluate and integrate emerging AI technologies and tools to maintain competitive advantageLead technical due diligence and integration planning for third-party AI services and contractor deliverablesContribute to technical strategy and roadmap planning for AI-native product developmentEstablish monitoring, observability, and cost management frameworks for AI systems at scaleRequired Qualifications :
Bachelors Degree in Computer Science, Electrical Engineering, Aerospace Engineering, or related disciplines8+ years of non-internship professional software development experience7+ 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 managementProven track record shipping complex production applications that incorporate LLMs or AI services at enterprise scaleAdvanced experience with prompt engineering, model optimization, and understanding of AI system limitationsFamiliarity with agentic workflows and autonomous AI system design patternsDemonstrated experience leading technical teams and providing guidance to external contractors orvendors
Strong experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (Docker, Kubernetes)Experience with technical oversight, code review processes, and quality assurance methodologiesMust be willing to work out of an office located in Bangalore JFWTC CampusYou must submit your application for employment on the careers page at www.careers.gevernova.com to be consideredPREFERRED QUALIFICATIONS :
13+ years of full software development life cycle experience, including architecture design, technical leadership, and system optimizationAdvanced experience with vector databases (Pinecone, Weaviate, or pgvector) and embedding model optimizationExpertise 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 scaleExperience with multi-modal AI integration and advanced model fine-tuningTrack record of building and scaling AI-powered features for 100k+ usersExperience with AI observability tools, cost optimization, and performance monitoring at enterprise scaleMaster's degree in computer science, AI / ML, or equivalent advanced technical educationExperience with agent architectures, autonomous AI systems, and advanced agentic workflow implementationsTechnical Stack :
Languages : Python, TypeScript / JavaScript, SQLFrontend : React / Next.js, Vue.js, Advanced CSS frameworks, Progressive Web AppsBackend : Node.js / Express, FastAPI, PostgreSQL, Redis, MongoDB, Microservices architectureAI / ML : OpenAI API, Anthropic Claude API, Advanced LangChain implementations, pgvector, Pinecone, Custom model integrations, Agentic workflow frameworksInfrastructure : AWS / GCP enterprise services, Advanced Docker / Kubernetes, CI / CD pipelines, Infrastructure as CodeDevelopment Tools : GitHub Copilot, Advanced AI-assisted development environments, Custom toolingMonitoring : Enterprise observability stack, LLM cost monitoring, Performance optimization tools(ref : hirist.tech)