Backend & AI Application Engineer

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

• 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.

• 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