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Senior GenAI Engineer

Senior GenAI Engineer

Mitra AIBangalore, IN
17 hours ago
Job description

Key Responsibilities :

AI System Design & Development :

  • Architect, develop, and deploy large-scale Generative AI, LLM-based systems, including intelligent agents and automation workflows.

LLM Integration & Optimization :

  • Integrate and optimize large language models for reasoning, summarization, and structured content generation.
  • Apply prompt design, fine-tuning, and evaluation strategies to ensure reliable and domain-aware outputs.

    • Knowledge & Retrieval Systems :

  • Design and implement retrieval-augmented and context-aware AI pipelines, combining embeddings, semantic search, and hybrid retrieval methods.

    • Backend Engineering :

  • Build robust, scalable backend services and APIs using TypeScript and Python, including real-time communication and data streaming capabilities.
  • Ensure high performance, fault tolerance, and clean integration between AI components and backend systems.

    • Data Pipelines & Processing :

  • Develop and manage pipelines to extract, process, and transform unstructured data (code, documents, text) into AI-ready formats.

    • Infrastructure & Deployment :

  • Design and maintain cloud-native, containerized, and event-driven architectures with Infrastructure-as-Code (IaC) practices.
  • Collaborate with DevOps teams to implement CI / CD, observability, and environment automation.

    • Model Evaluation & Monitoring :

  • Establish model evaluation metrics, continuous validation workflows, and performance dashboards to ensure production reliability and drift detection.

    • Leadership & Mentorship :

  • Lead design discussions, perform technical reviews, and mentor AI engineers.
  • Collaborate cross-functionally with product and platform teams to translate AI capabilities into production-grade solutions.

    • Required Skills

  • Strong proficiency in Python and TypeScript , with a solid background in backend or API development.
  • Proven experience in LLM-based application design , Generative AI workflows , or AI agent systems .
  • Understanding of retrieval-augmented generation (RAG) and semantic / embedding-based search principles.
  • Experience building scalable cloud-native services , including event-driven or asynchronous architectures.
  • Familiarity with infrastructure automation , container orchestration , and CI / CD pipelines .
  • Exposure to MLOps principles — model lifecycle management, evaluation, and continuous improvement.
  • Strong problem-solving, analytical, and architectural reasoning skills.
  • Excellent communication, collaboration, and mentoring abilities.

    • Preferred Qualifications & Experiences :

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related disciplines .
  • 3+ years of professional experience in AI / ML software engineering , including 2+ years in Generative AI or LLM-based systems .
  • Previous experience leading small engineering teams or driving architectural decisions is highly preferred.
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