Backend Engineer – Genai / Aws Certified

We are looking for a Backend Engineer with strong expertise in Generative AI application development , including prompt engineering and context engineering , along with solid experience in AWS cloud services .

The candidate will work on building scalable, secure, and high-performance Gen AI-driven backend systems.

Key Responsibilities Design and develop backend services for Gen AI-powered applications (chatbots, RAG systems, automation workflows).

Implement and optimize prompt engineering and context engineering strategies for LLM-based applications.

Build and manage APIs using frameworks like Fast API / Node.js .

Integrate with LLM providers (AWS Bedrock, Open AI, Anthropic, etc.).

Develop scalable pipelines for document ingestion, embeddings, and retrieval (RAG) .

Work with vector databases (FAISS, Pinecone, Open Search, etc.).

Ensure system performance, scalability, and reliability in production.

Collaborate with frontend, AI/ML, and Dev Ops teams for end-to-end delivery.

Required Skills Strong backend development experience in Python or Node.js .

Hands-on experience with:

Prompt Engineering

Context Engineering (chunking, metadata enrichment, retrieval tuning)

RAG architectures

Experience with AWS Cloud , including:

AWS Bedrock

Lambda, API Gateway

S3, Dynamo DB, RDS

ECS/Fargate or EC2

AWS Certification (Added advantage) – e.g., AWS Certified Developer / Cloud Practitioner or above.

Familiarity with LLM frameworks (Lang Chain, Llama Index).

Understanding of REST APIs, microservices architecture .

Experience with Docker and CI/CD pipelines .

What We Offer Opportunity to work on cutting-edge Gen AI products .

Fast-paced startup/product environment.

Ownership of end-to-end backend systems.

Collaborative and innovation-driven culture.