Senior Backend
2 weeks ago
Job Title:
Senior Backend & Systems Development Lead
Location:
Karachi, Pakistan
Employment Type:
Full-time | On-site/Hybrid
About the Hiring Company
We are looking for a Senior Backend & Systems Development Lead who can bring together backend engineering, automation, and applied AI to deliver enterprise-grade systems. This role requires strong technical leadership and the ability to guide a team of engineers in building secure, scalable, and intelligent platforms.
Key Responsibilities
Architect, design, and develop backend systems, APIs, and automation pipelines.
Build workflow engines that map governance rules, approval flows, and compliance requirements into technical systems.
Integrate AI components (LLMs, NLP, machine learning models) to automate classification, decision support, and document processing.
Apply LangChain or similar frameworks to connect LLMs with structured data, databases, and workflow steps.
Optimize performance, scalability, and reliability of enterprise solutions.
Oversee system security, evidence trails, and audit readiness.
Required Skills & Expertise
Backend Development: Advanced skills in Python, , Java, or Go.
System Architecture: Experience designing modular, microservices-based systems.
Databases: Strong in SQL/NoSQL (PostgreSQL, MongoDB, MySQL).
AI & Automation:
Practical experience integrating LLMs (OpenAI, Anthropic, etc.) into enterprise systems.
Hands-on with LangChain, RAG pipelines, and embeddings/vector databases (e.g., Pinecone, FAISS, Weaviate).
Knowledge of automation workflows and orchestration.
Cloud Infrastructure: AWS/Azure/GCP, containerization (Docker/Kubernetes), CI/CD pipelines.
Governance & Compliance Systems: Understanding of approval chains, access control, and evidence/audit logs.
Leadership: Strong experience managing cross-functional technical teams.
Qualifications
Bachelor's/Master's in Computer Science, Software Engineering, Data Engineering, or related field.
5–10 years of experience in backend and systems development.
At least 2–3 projects involving AI/ML or workflow automation successfully delivered.
Prior experience in leading teams and owning end-to-end delivery.
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