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    Job · 22452308

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    Senior Software Engineer- AI Applications

    Saitc · Hyderabad · onsite · Posted 1d ago

    ₹12.0L - ₹14.0L PA4–6 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Senior Software Engineer AI Applications

    Location: Hyderabad, India

    Employment Type: Full-Time, On-site

    Experience: 4+ Years

    Expected CTC:

    12-14 LPA


    About SAITC

    SAITC is an AI software development company based in Saudi Arabia, focused on building production-grade AI solutions for businesses.

    We build AI chatbots, RAG applications, AI agents, AI-powered SaaS products, enterprise integrations, and custom AI software.

    We are looking for a Senior Software Engineer who can take ownership of the backend architecture and software engineering behind these solutions.


    Role Overview

    This is a hands-on technical leadership role. You will design and build production software, make architectural decisions, work closely with our Applied AI team, review code, and guide other engineers.

    The ideal candidate is a strong backend engineer with practical AI application experience who understands how to turn AI capabilities into reliable, scalable, and production-ready software.


    Key Responsibilities

    1. Backend Engineering & Architecture

    • Design scalable backend architectures for AI applications, SaaS platforms, APIs, and enterprise solutions.
    • Build production services primarily using Python and FastAPI.
    • Design REST APIs, business logic, databases, integrations, and background processes.
    • Design and optimize PostgreSQL databases and data models.
    • Build integrations with third-party APIs, ERP/CRM systems, Odoo, and customer databases.
    • Design secure multi-tenant systems with proper customer data isolation.

    2. AI Application Engineering

    • Work closely with Applied AI Engineers to integrate AI capabilities into production software.
    • Build applications using LLM APIs, RAG, embeddings, vector databases, AI agents, and AI-powered workflows.
    • Integrate providers such as OpenAI, Google Gemini, OCI Generative AI, and open-source models.
    • Design APIs and backend workflows around AI services, including streaming, retries, fallbacks, and cost/latency considerations.
    • Ensure AI systems are securely integrated with customer and business data.

    3. Technical Leadership

    • Establish coding and architectural standards across projects.
    • Conduct code reviews and maintain high engineering quality.
    • Mentor engineers and provide technical direction.
    • Convert business and client requirements into practical technical solutions.
    • Participate in technical discussions with founders and clients when required.

    4. Security, Testing & Quality

    • Implement authentication, authorization, RBAC, tenant isolation, and API security.
    • Ensure appropriate unit, integration, and API testing for backend services.
    • Work closely with the DevOps/QA Engineer on deployment, monitoring, testing, and production issues.

    Required Skills & Experience

    • 4+ years of professional software development experience.
    • Strong experience with Python and FastAPI.
    • Strong PostgreSQL and database design skills.
    • Strong understanding of backend architecture and REST APIs.
    • Experience building and deploying production software.
    • Practical experience with LLM APIs, RAG, embeddings, vector databases, or AI agents.
    • Understanding of authentication, authorization, and application security.
    • Experience with Docker and Linux.
    • Strong Git/GitHub experience.
    • Good understanding of asynchronous programming, APIs, queues, and caching.
    • Strong problem-solving and debugging ability.
    • Ability to lead technical decisions and mentor other engineers.

    Good to Have

    • Redis / Celery / RabbitMQ / Kafka
    • AWS / OCI / GCP / Azure
    • Kubernetes / Terraform
    • Experience building AI SaaS products
    • Experience with enterprise integrations
    • Experience working directly with clients

    What Success Looks Like

    Within the first 612 months, you will help SAITC establish a strong technical foundation where:

    • AI applications follow consistent and scalable architectures.
    • Backend components can be reused across products and clients.
    • AI services integrate cleanly with business applications and data.
    • Customer data is securely isolated.
    • Engineering standards and code quality improve across the team.
    • SAITC can build and deliver new AI solutions faster.

    Education

    A Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field is preferred.

    Sourced from naukri

    Skills

    DockerKubernetesgoogle cloud platformamazon web servicesDatabase ManagementPythonMongoDBSQLJavaFullstack DevelopmentArtificial IntelligenceMachine Learning

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