Lead Developer of Large-Scale Generative AI Systems

1 week ago

udaipur, India beBeeSenior Full time

Job Title: Senior AI Development LeadMitra-ai is seeking an experienced senior-level professional to spearhead the development of large-scale Generative AI systems. This key role requires a seasoned expert in designing, developing, and deploying intelligent agents and automation workflows utilizing Generative AI and LLM-based systems.Key Responsibilities:Ai System Design & Development: Architect and develop intelligent agents and automation workflows utilizing Generative AI and LLM-based systems.LLM Integration & Optimization: Integrate and optimize large language models for reasoning, summarization, and structured content generation.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 backend services and APIs using TypeScript and Python, ensuring high performance, fault tolerance, and seamless integration with AI components.Data Pipelines & Processing: Develop pipelines to extract, process, and transform unstructured data into AI-ready formats.Infrastructure & Deployment: Design and maintain cloud-native architectures with Infrastructure-as-Code practices, collaborating with DevOps teams for CI/CD, observability, and environment automation.Model Evaluation & Monitoring: Establish model evaluation metrics, continuous validation workflows, and performance dashboards to ensure production reliability.Leadership & Mentorship: Lead design discussions, perform technical reviews, mentor AI engineers, and collaborate cross-functionally to translate AI capabilities into production-grade solutions.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.This is a unique opportunity to leverage your expertise in Generative AI and contribute to the development of cutting-edge AI systems. If you are a motivated and skilled professional looking to take on new challenges, we encourage you to apply.

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