Fleekbiz

Backend & AI Application Engineer

Reposted 2 Days Ago

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Karachi, Sindh, PAK

In-Office

Mid level

Agency • Digital Media • Information Technology • Professional Services

The Role

Responsible for designing, building, and operating backend and AI services, optimizing performance and reliability, documenting processes, and collaborating with teams.

Summary Generated by Built In

We’re looking for a Backend & AI Application Engineer to Design, build, and operate scalable backend and AI-powered services that support production-grade applications, ensuring performance, reliability, security, and clean integration with frontend and platform teams.

Responsibilities:

API & Service Design:

Define and implement RESTful APIs with strong data contracts, versioning, pagination, and error handling.
Apply security best practices including OAuth2, JWT, access control, and input validation.
Collaborate with frontend engineers on API contracts, mock servers, and integration patterns.

AI Feature Development:

Research, prototype, and integrate AI/ML models and third-party services (OpenAI API, LLMs, embeddings, RAG, agentic systems).
Implement semantic search, vector stores, retrieval pipelines, and multi-agent workflows using LangChain, LangGraph, LlamaIndex, and Weaviate.
Optimize inference latency, cost, and reliability of AI services.

Testing, Reliability & Quality:

Write and maintain unit and integration tests for business logic and CRUD operations.
Conduct root cause analysis and implement long-term fixes for production issues.
Apply TDD and structured debugging practices.

Performance & Observability:

Optimize API response times, database queries, and AI pipelines.
Implement logging, metrics, tracing, and alerts to ensure system observability.

Documentation & Handoff:

Maintain OpenAPI/Swagger documentation, Postman collections, and internal service guides.
Ensure frontend and QA teams have everything needed for smooth integration.

DevOps & Platform Collaboration:

Work with DevOps on containerization, orchestration, and CI/CD (Docker, Kubernetes, pipelines).
Support cloud deployments across Azure, AWS, and GCP.

Cross-Functional Leadership:

Participate in retrospectives, propose improvements, and help evolve tooling, architecture, and processes.
Mentor backend engineers when needed and share best practices.

Requirements

Languages & Frameworks:

Python (FastAPI, Django, Flask)
TypeScript / JavaScript (Node.js, Express, Nest.js)

Cloud:

Azure (Functions, App Service, Cosmos DB)
AWS (Lambda, S3, RDS)
GCP (Cloud Run, Firestore)

AI / Data:

LLMs, RAG, embeddings, vector databases
LangChain, LangGraph, LlamaIndex, Weaviate

Architecture & Practices:

Microservices, distributed systems
DDD, MVC, Pub/Sub, middleware
TDD, clean code, structured testing

DevOps:

Docker, CI/CD, Git, observability tooling

Benefits

What We Offer:

Market Competitive salary
Transportation facility for the female staff
Monetary benefits include Eid Bonuses, Performance Bonuses, EOBI Pension plan, Paid leave compensation.
Medical benefits: Family healthcare Including maternity, Family OPD reimbursable, Maternal/Paternal leaves.
In-house recreational facilities: Outdoor sports area, Billiards & Foosball table, Xbox & Media Room, Gym facility.