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Principal AI Software Engineer - Python / LLM

Principal AI Software Engineer - Python / LLM

Sureminds Solutions Pvt. Ltd.Bangalore
5 days ago
Job description

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
  • 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 : Python, TypeScript / JavaScript, SQL, Go / Rust (for performance-critical components)
  • Frontend : React / Next.js, Vue.js, Advanced CSS frameworks, Progressive Web Apps, Micro-frontends
  • Backend : Node.js / Express, 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

    • (ref : hirist.tech)

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