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Urgent! Full-Stack Developer Position in Karachi - Systems Limited

Full Stack Developer



Job description

Summery


Experienced full-stack developer with 8+ years specializing in React frontend and Python/FastAPI backend, skilled in building scalable APIs and AI-powered solutions.

Strong expertise in Generative AI, LangChain, vector databases, cloud services, and leading engineering teams to deliver enterprise-grade applications.

Responsibilities

  • Develop and maintain frontend applications using React with a focus on hooks, state management, and modular components.

  • Design, build, and optimize backend APIs and microservices using Python and FastAPI.

  • Integrate AI/ML models and LLM APIs into applications for enterprise-scale solutions.

  • Implement and manage vector database solutions (Milvus, Pinecone, Weaviate) to support AI workflows.

  • Ensure secure access and authentication using OAuth2, JWT, and other security best practices.

  • Lead and mentor engineering teams, collaborating with clients to gather requirements and deliver technical solutions.

  • Manage deployment workflows using AWS services (Lambda, API Gateway, S3, EC2, RDS) and containerization with Docker.

  • Monitor and maintain MLOps pipelines, including model monitoring, retraining, and CI/CD for machine learning.

  • Utilize infrastructure-as-code tools (Terraform/CDK) and observability tools (CloudWatch, Prometheus, Grafana) for production environments.

Requirements

  • 8+ years of full-stack development experience with React and Python/FastAPI.

  • Deep knowledge of the React ecosystem: hooks, state management, and modular components.

  • Proven experience building production-grade APIs and microservices.

  • Strong expertise in LangChain, Generative AI, RAG pipelines, and prompt engineering.

  • Hands-on experience with vector databases like Milvus, Pinecone, and Weaviate.

  • Proficiency in integrating AI/ML models and LLM APIs.
  • Solid experience with SQL databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, DynamoDB, Redis).

  • Familiarity with AWS cloud services (Lambda, API Gateway, S3, EC2, RDS).

  • Experience with containerization technologies such as Docker.

  • Understanding of security best practices including OAuth2 and JWT.

  • Excellent communication and client-facing consulting skills.

  • Demonstrated leadership and team guidance capabilities.

  • Experience with MLOps workflows and CI/CD for machine learning projects.

  • Familiarity with Kubernetes, Terraform/CDK, and observability tools like CloudWatch, Prometheus, and Grafana.

  • Experience delivering AI/ML solutions for enterprise clients across various industries.

  • Strong understanding of advanced Generative AI techniques and enterprise LLM deployments.


Required Skill Profession

Other General



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