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Lead AI Engineer

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Capital One

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Location:
India , Bengaluru

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Lead AI/Machine Learning Engineer (Code Quality & Research) to pioneer AI-driven code quality initiatives. Shape the future of software engineering by building intelligent systems that elevate code quality, accelerate development velocity, and establish new standards for engineering excellence. Drive the development of cutting-edge LLM-powered tools for code review, test generation, and API schema validation.

Job Responsibility:

  • Research & Innovation (40%): Conduct cutting-edge research in LLM applications for code understanding, generation, and quality assessment
  • Design and implement novel evaluation frameworks for measuring code quality, test coverage, and API design across diverse programming languages (Java, Python, JavaScript, Go, etc.)
  • Stay at the forefront of academic and industry research in program analysis, code intelligence, and generative AI
  • Publish research findings through papers, technical blogs, and conference presentations
  • Collaborate with academic institutions and contribute to open-source projects
  • Technical Leadership (35%): Architect and build production-grade ML systems for: Intelligent code review and automated feedback
  • Context-aware test case generation
  • API schema validation and best practice recommendations
  • Code quality assessment and technical debt detection
  • Design scalable evaluation pipelines that measure model performance across coding standards, languages, and domains
  • Establish best practices for prompt engineering, fine-tuning, and model optimization for code-related tasks
  • Lead the technical design of multi-language support systems with deep understanding of language-specific idioms and patterns
  • Strategic Impact (25%): Define the technical vision and roadmap for AI-powered code quality tools
  • Drive adoption of coding standards and quality frameworks across engineering teams
  • Collaborate with engineering leadership to identify high-impact opportunities
  • Mentor engineers and researchers, building a culture of excellence in AI and software engineering
  • Evangelize code quality practices and share insights through internal tech talks and documentation

Requirements:

  • At least 7 years of software engineering experience (such as Python, GO, R, C Language, C++, Java)
  • At least 3 years of experience with code analysis tools and frameworks such as ESLint, SonarQube, Checkmarx
  • At least 2 years of experience focused on LLMs or code-based ML tasks (for example: Data handling & Preprocessing, Model Building & Training, Model Evaluation and Visualization)
  • At least 2 years of experience building production Machine Learning systems from research to deployment

Nice to have:

  • Master’s or Doctoral Degree with dissertation focused on software engineering, program analysis or AI/ML applications for code
  • Published research papers related to Programming language theory, compilers, static analysis, Software design patterns, architectural principles, code quality metrics, Modern LLM architectures like GPT, Claude, Llama and fine-tuning techniques, evaluation methodologies for generative AI systems at top-tier conferences like ICSE, FSE, ASE, NeurIPS, ICML, ACL, EMNLP
  • 8+ years of experience building developer tools or platforms used by large engineering organizations
  • 6+ years of experience fine-tuning and adapting large language models for domain-specific tasks
  • 5+ years of experience with the RAG stack for code understanding & building evaluation datasets and benchmarks for code-related tasks
  • 4+ years of experience applying machine learning to real-world problems
  • 3+ years of experience building Multi-modal models that combine code, documentation, and execution traces
  • Contributions to open-source projects in code analysis, static analysis, or developer tooling
  • Knowledge of DevOps, CI/CD, and integration of ML models into development workflows
What we offer:
  • Healthy Body, Healthy Mind: You have options and we have the tools to help you decide which health plans best fit your needs
  • Save Money, Make Money: Secure your present, plan for your future and reduce expenses along the way
  • Time, Family and Advice: Options for your time, opportunities for your family, and advice along the way

Additional Information:

Job Posted:
January 15, 2026

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