Backend Engineer – AI Applications

1 day ago

Greater Hyderabad Area, India Stealth AI Startup Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Role : Backend Engineer – AI Applications

Experience:
2–5 Years

Location:
Hyderabad

Employment Type:
Full-Time

Work Mode:
Hybrid

About Us

We are a
Stealth-Mode AI Startup
building next-generation
AI Infrastructure and Applications
that empower enterprises to deploy intelligent systems at scale.

Our work spans across
Generative AI, Agentic Frameworks, Cloud Platforms, and AI Infrastructure
, solving complex business problems with cutting-edge technology.

If you are passionate about building robust backend systems for AI-driven applications — this is your opportunity to work with a team of exceptional engineers, product thinkers, and AI researchers.

Role Overview

We're looking for an experienced
Backend Engineer
with hands-on experience in
AI Agentic Frameworks
(such as LangChain, LlamaIndex, Haystack, or similar).

You will be responsible for designing and developing scalable backend systems that integrate AI models, pipelines, and agents for real-world enterprise use cases.

Key Responsibilities

  • Design and develop backend systems that power AI-driven applications and agents.
  • Integrate
    LLM frameworks
    and APIs (OpenAI, Anthropic, Cohere, etc.) into production-grade environments.
  • Build RESTful and GraphQL APIs to connect front-end and AI services.
  • Develop data pipelines, task orchestration, and microservices for AI workflows.
  • Collaborate with AI researchers, frontend developers, and product teams to deliver scalable solutions.
  • Optimize system performance, reliability, and security.
  • Deploy and manage backend services on
    cloud platforms
    (AWS / GCP / Azure).

Required Skills & Experience

  • 2–5 years
    of backend development experience in
    Python
    ,

    , or
    Go
    .
  • Hands-on experience with
    AI Agentic frameworks
    such as
    LangChain, LlamaIndex, CrewAI, Haystack
    , or similar.
  • Strong understanding of
    APIs, microservices, and distributed systems
    .
  • Experience working with
    LLMs, embeddings, vector databases
    (e.g., Pinecone, Weaviate, FAISS, Milvus).
  • Familiarity with
    data engineering concepts
    ,
    model deployment
    , and
    AI pipelines
    .
  • Proficiency with
    cloud services
    (AWS, GCP, or Azure) and
    containerization
    (Docker, Kubernetes).
  • Strong problem-solving skills, ownership mindset, and ability to work in fast-paced environments.

Preferred Qualifications

  • Prior experience building or integrating
    AI copilots, agents, or RAG-based systems
    .
  • Exposure to
    Prompt Engineering
    ,
    API Gateway design
    , or
    LLM fine-tuning workflows
    .
  • Experience with
    FastAPI, Flask, or Django
    for API development.
  • Contributions to open-source AI or agentic framework projects are a plus.

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