Backend Engineer – AI Applications

Job Role : Backend Engineer – AI Applications

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About Us

Stealth-Mode AI Startup

Generative AI, Agentic Frameworks, Cloud Platforms, and AI Infrastructure

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

Backend Engineer

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

  ,

  Node.js

  , 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.