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.
Other Information's:
- Shift: Night
- Timings: 10:00 pm to 7:00 am
- Location: PECHS Block 06, Shahrah e Faisal, Karachi.
- Days: Monday to Friday
- Employment Type: Full-time
Skills Required
- Proficiency in Python and its frameworks
- Proficient in TypeScript/JavaScript and its frameworks
- Experience with cloud services such as Azure, AWS, and GCP
- Familiarity with AI/ML concepts and tools
- Experience with DevOps practices including Docker and CI/CD
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The Company
What We Do
Fleekbiz is a full-service digital agency that builds websites, apps, brands, and marketing campaigns, aiming to create extraordinary experiences.
