Backend Engineer – AI Applications

Job Role : Backend Engineer – AI Applications

Experience:

2–5 Years 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 ,

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.