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    Job · 21256403

    FULLTIME

    AI Lead

    BIGFORMULA

    BIGFORMULA

    Not specified · onsite · Posted 5d ago

    Sourced fromFoundit
    Not disclosed5–7 yrsfulltimeNot specified

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    Section · 01

    About this role

    AI Lead
    • 7 Oct, 2026
    • 5+
    • Kochi
    • Full time Job

    We are seeking a highly accomplished AI Lead with 5+ years of industry experience to lead the design, development, and deployment of next-generation AI solutions for complex, real-world problems.

    The ideal candidate will be a hands-on technical lead with strong expertise in Machine Learning, Generative AI, Agentic AI, backend engineering, and cloud architecture, with proven experience taking AI solutions from concept to production.

    Key Responsibilities

    • Lead the end-to-end architecture and delivery of AI solutions, from problem definition and POCs to production deployment.
    • Design scalable AI architectures integrating Client → Azure APIM → FastAPI/Backend → AI Agents → LLM/ML Models → RAG/Databases → Enterprise Systems.
    • Design and implement production-grade Agentic AI systems, including agent orchestration, tool calling, RAG, memory, workflows, multi-agent systems, and human-in-the-loop.
    • Develop scalable backend services using Python, FastAPI, REST APIs, and microservices.
    • Design, configure, and manage Azure API Management (APIM), including authentication/authorization, JWT/Entra ID, API policies, rate limiting, throttling, routing, monitoring, and versioning.
    • Analyze existing AI applications, identify architecture, performance, scalability, security, and integration issues, and drive technical improvements.
    • Lead deployment and productionization using Docker, Kubernetes/AKS, CI/CD, Azure cloud services, and GPU infrastructure.
      Own production operations including monitoring, logging, tracing, alerting, performance optimization, troubleshooting, and incident resolution.
    • Lead architecture and code reviews, technical POCs, engineering standards, and mentor AI/ML and backend engineers.
      Evaluate emerging AI technologies and contribute to the organization's AI strategy and technical roadmap.

    Qualifications & Experience

    • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Master's preferred.
    • 5+ years of hands-on experience delivering AI/ML solutions, with strong knowledge of ML, Deep Learning, NLP, Generative AI, and Agentic AI.
    • Proven experience delivering end-to-end AI projects from concept to production.
    • Strong hands-on experience with Python, FastAPI, REST APIs, microservices, and backend architecture.
    • Strong experience with Azure API Management (APIM) and enterprise API architecture.
    • Strong experience with LLMs, RAG, Transformers, prompt engineering, fine-tuning, embeddings, and vector databases.
    • Hands-on experience designing Agentic AI architectures, including tool calling, orchestration, memory, workflows, and multi-agent systems.
    • Hands-on experience with Docker, Kubernetes/AKS, CI/CD, Azure cloud, and production AI deployments.
    • Experience with MLOps, monitoring, observability, scalability, and production troubleshooting.
    • Strong technical leadership, communication, problem-solving, and mentoring skills.

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    Section · 02

    Skills

    DockerKubernetesRetrieval Augmented GenerationPrompt EngineeringFine TuningMLOpsAksAzure Api Managementvector databasesEmbeddingsHugging Face TransformersLarge Language Models (LLMs)Backend EngineeringPythonREST APIMicroservicesAgentic AiGenerative AiCloud ArchitectureCi/CdFastAPIMachine Learning

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