Senior AI Engineer

New
Based in IndiaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
PythonMachine LearningData engineeringRESTful APIsPrompt EngineeringMLOpsGenerative AI

Requirements

  • 5+ years of experience in AI engineering, machine learning, data science, or software development
  • Strong foundation in predictive ML including feature engineering, model training, validation, and evaluation
  • Proven experience building and deploying production AI systems or services
  • Hands-on experience with GenAI technologies including LLMs, RAG pipelines, prompt engineering, and agent-based systems
  • Strong Python programming skills with software engineering best practices (testing, CI/CD, version control)
  • Experience building APIs, backend systems, or scalable application architectures
  • Familiarity with cloud platforms and MLOps/LLMOps practices including deployment and monitoring
  • Strong communication skills with ability to engage technical and non-technical stakeholders
  • Experience working in customer-facing or consulting-style AI delivery environments is a plus

Responsibilities

  • Design and build end-to-end AI solutions including predictive ML models, GenAI applications, and agentic workflows
  • Own the full lifecycle of AI systems including data engineering, feature development, training, evaluation, deployment, and monitoring
  • Architect scalable AI applications integrating LLMs, RAG pipelines, APIs, and enterprise data systems
  • Develop production-grade backend services, APIs, and AI-driven application layers
  • Implement GenAI systems including prompt engineering, evaluation frameworks, and multi-agent orchestration
  • Collaborate with enterprise clients to translate business challenges into AI-powered solutions
  • Deliver technical enablement sessions, workshops, and AI adoption programs for stakeholders
  • Partner with internal product and engineering teams to build reusable frameworks and reference architectures
  • Ensure AI solutions are production-ready, governed, and aligned with responsible AI practices
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