Artificial Intelligence Engineer

2 weeks ago

Hyderabad, Telangana, India Vasco Tech Full time ₹ 15,00,000 - ₹ 30,00,000 per year

Company Description

Vasco Tech is an AI-driven technology company focused on building transformative solutions across industries. Our mission is to harness the power of artificial intelligence to redefine how people learn, work, and innovate. With a vision rooted in progress and impact, we are creating tools and platforms that push the boundaries of what's possible. We're not just building technology - we're shaping the future.

Role Description

We're hiring a
Backend AI Engineer
to design and build the backbone of intelligent systems — from LLM orchestration to inference pipelines and distributed APIs.

You'll architect the backend infrastructure, implement reasoning workflows, and optimize for scale, speed, and reliability.

You'll work closely with the founding team to develop next-generation AI systems that think, adapt, and self-optimize.

Key Responsibilities

  • Architect and develop
    high-performance backend systems
    for AI orchestration, data retrieval, and reasoning.
  • Build and optimize
    LLM inference pipelines
    and
    multi-model integration layers
    .
  • Implement
    retrieval-augmented generation (RAG)
    ,
    context management
    , and
    memory systems
    .
  • Design
    APIs and microservices
    (REST / GraphQL) for reasoning and model coordination.
  • Manage
    data storage and vector databases
    (Qdrant / Pinecone / Postgres / Neon).
  • Build
    asynchronous, event-driven pipelines
    to handle large-scale requests and model calls.
  • Deploy and maintain
    scalable infra
    using AWS, Docker, and CI/CD pipelines.
  • Implement
    observability tools
    ,
    evaluation metrics
    , and
    reasoning trace systems
    for debugging and improvement.
  • Continuously benchmark and integrate
    new open-source or proprietary models
    .

Must-Have Skills

  • Strong in
    Python
    (FastAPI, asyncio, multiprocessing, or similar frameworks).
  • Proficient in
    / TypeScript
    for service integration.
  • Deep understanding of
    API design
    ,
    scalable microservices
    , and
    async pipelines
    .
  • Hands-on experience with
    vector databases
    (Qdrant, Pinecone, Weaviate) and
    Postgres / Neon
    .
  • Practical understanding of
    LLM APIs
    (OpenAI, Anthropic, Mistral, etc.) and
    RAG architectures
    .
  • Strong fundamentals in
    data structures
    ,
    caching
    ,
    concurrency
    , and
    distributed systems
    .
  • Experienced with
    Docker
    ,
    AWS / Vercel
    , and
    CI/CD
    automation.
  • Ability to
    debug complex backend systems
    across data, infra, and AI layers.

Preferred Skills

  • Knowledge of
    LangChain
    ,
    LlamaIndex
    , or custom orchestration logic.
  • Experience with
    agentic workflows
    ,
    model routing
    , or
    self-evaluating pipelines
    .
  • Familiarity with
    model fine-tuning
    ,
    embedding optimization
    , or
    vector search ranking
    .
  • Exposure to
    observability stacks
    (Langfuse, Posthog, Sentry).
  • Contributions to
    open-source AI infrastructure
    or published repos.
  • Background in
    distributed system design
    or
    cloud-native architecture
    .

Mindset & Culture Fit

  • Builder-first
    — comfortable owning systems from architecture to deployment.
  • Systems thinker
    — sees the interdependencies between models, data, and orchestration logic.
  • Bias for speed and learning
    — iterates fast and optimizes later.
  • Detail-obsessed
    — balances performance with correctness and traceability.
  • Autonomous
    — thrives without constant direction, takes full ownership.

Compensation & Growth

  • Competitive salary.
  • Opportunity to own
    core AI infrastructure and reasoning pipelines
    .
  • Direct collaboration with the founding team on high-impact architecture decisions.

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