AI Applied Engineer

5 days ago

Bhopal, Madhya Pradesh, India Zynka Technologies Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Location:
Hybrid / Remote

Type:
Full-time

Experience:
2 – 5 years

About the Role

We're building intelligent systems that seamlessly blend into modern applications and workflows.

As an
AI Applied Engineer
, you'll design and ship AI-driven experiences — connecting APIs, reasoning logic, and user interfaces into reliable, production-grade products.

You'll work across the full stack — from backend orchestration to frontend experiences — bringing AI into everyday business workflows without the complexity of model training or infrastructure heavy-lifting.

Key Responsibilities

  • Build
    AI-powered components and microservices
    using
    Python (FastAPI)
    or
    TypeScript / )
    .
  • Design
    React +
    front-ends that deliver intelligent, context-aware user experiences.
  • Integrate
    LLM APIs
    (OpenAI, Azure AI, Anthropic, etc.) into applications and workflows.
  • Develop
    agentic and RAG workflows
    for reasoning, automation, and decision support.
  • Connect to internal and external systems using MCP, REST, GraphQL, or SQL integrations.
  • Implement
    prompt templates
    ,
    tool integrations
    , and
    context orchestration logic
    .
  • Optimize
    latency, cost, and reliability
    of AI-driven features with proper caching and observability.
  • Contribute to
    telemetry, evaluations, and guardrails
    to ensure responsible AI behaviour.

What You Bring

  • Strong programming skills in
    Python
    and
    TypeScript
    .
  • Hands-on experience with
    React +
    for building responsive, data-driven UIs.
  • Experience working with
    LLM APIs
    and frameworks like
    LangChain
    ,
    OpenAI Agents SDK
    , CrewAI or Autogen.
  • Understanding of
    API integration
    ,
    data models
    , and
    workflow automation
    .
  • Familiarity with
    RAG
    ,
    prompt engineering
    , and
    context management
    .
  • Comfortable with
    Docker
    ,
    Kubernetes
    , and
    cloud deployment
    (Azure / AWS).
  • Preference for developers who actively use
    AI-native tools
    like
    Cursor
    ,
    Lovable
    , or
    Copilot
    to accelerate development.
  • Startup mindset — bias for building fast, learning fast, and shipping often.

Why Join Us

  • Build
    applied AI
    that makes real impact — not research experiments.
  • End-to-end ownership from concept to launch.
  • Direct collaboration with founders and senior engineers.
  • Fast-paced, product-driven environment with high creative freedom.

Why Zynka

At
Zynka
, we're redefining how
EV charging infrastructure and operations
are managed — making energy systems smarter, more reliable, and more autonomous. Our platform combines
AI, IoT, and intelligent automation
to help charge point operators, service providers, and fleet managers run their networks efficiently.

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