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    Job · 21443105

    KOLKATA · FULLTIME

    Technical Architect - AI Engineering

    Capital Numbers Infotech

    Capital Numbers Infotech

    Kolkata · onsite · Posted 2d ago

    Sourced fromNaukri
    Undisclosed6–11 yrsfulltimeKolkata

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    Section · 01

    About this role

    Capital Numbers is seeking a hands-on Technical Architect - AI Engineering to design, build, and deploy production-grade AI systems while leading a high performing engineering team. In this role, you will bridge cutting-edge generative AI development with enterprise-grade system architecture, driving projects from concept to deployment.


    Roles Responsibilities
    • AI System Architecture: Design: Architect, build, and optimize scalable RAG (Retrieval-Augmented Generation) pipelines, LLM-driven applications, and multi-agent AI systems.
    • Enterprise Integration: Integrate LLMs, custom embeddings, vector databases, and APIs with complex enterprise data layers and existing business applications.
    • System Optimization: Reliability: Solve critical AI deployment challenges, including retrieval quality improvement, hallucination mitigation, latency reduction, and query cost management.
    • Technical Leadership: Mentorship: Drive code reviews, establish coding standards, unblock developers, and mentor a small team of software and AI engineers.
    • Security Infrastructure: Implement AI security best practices, ensure enterprise data privacy, and oversee deployment across cloud environments (AWS / Azure / GCP).


    Skills
    • Core Languages: Frameworks: Python, LangChain, LlamaIndex, OpenAI APIs, Hugging Face
    • AI Architecture: Generative AI, RAG Pipelines, AI Agents, Vector Databases (Pinecone, ChromaDB, Weaviate, Qdrant), Prompt Engineering, Embeddings
    • Cloud: DevOps: AWS / Azure / GCP, Docker, API Integration, Microservices, CI/CD
    • Leadership: Technical System Design, Code Reviews, Agile Development, Team Mentoring
    • Domain Advantage (Preferred): Healthcare tech experience (EMR, HMIS, healthcare data privacy standards)


    Qualifications Experience
    Educational Background: Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related technical field.
    Production Track Record: Proven background in moving LLM/GenAI prototypes into production enterprise environments.
    Domain Expertise: Experience working on complex data architectures; exposure to Healthcare/EMR/HMIS platforms is strongly preferred.


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

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    Section · 02

    Skills

    DevopsDockerAgilecoding standardsagile developmentapisdata privacyenterprise integrationgoogle cloud platformamazon web servicesAws EmrAi DeploymentEmbeddingsai securitydeploymentHealthcarecloudArchitectureMicrosoft AzureAPI IntegrationGenerative AiArtificial Intelligence

    Section · Company

    About Capital Numbers Infotech

    Capital Numbers Infotech

    Capital Numbers Infotech

    IT Services & Consulting

    501

    employees

    2012

    14 years old

    Kolkata, West Bengal

    IN

    ₹7.9L PA avg

    Avg at Capital Numbers Infotech

    About

    Capital Numbers is a D&B accredited, ISO 9001 & 27001 certified, award-winning full stack digital production outsourcing company with over 650+ employees.

    Industries

    IT Services & ConsultingSoftware ProductMarketing & Advertising

    Employee ratings

    10 reviews

    4.4/ 5

    Culture

    3.7

    Career growth

    3.1

    Work-life

    3.4

    Employees rate it well for

    Work-Life Balance44Overall Company44

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