Job Summary

To be responsible for managing technology in complex projects ,providing technical guidance and ensuring successful delivery of solutions.

Key Responsibilities

1. To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.
2. To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure successful delivery of complex projects.
3. To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
4. To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.

Skill Requirements

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Other Requirements

AI‑First System Design & Software Engineering

• Apply strong software engineering principles to design, build, test, deploy, and operate AI‑powered systems.
• Architect clean, scalable, and maintainable services using microservices and distributed system design patterns.
• Own solutions end‑to‑end, ensuring reliability, observability, security, and maintainability in production.
• Make informed engineering trade‑offs around scalability, latency, cost, and fault tolerance.

• Generative AI & Retrieval‑Augmented Generation (RAG)

  • Design and implement LLM‑based solutions for real‑world, production use cases.
  • Apply deep hands‑on expertise in:
  • Prompt engineering
  • Chunking strategies for unstructured data
  • Embeddings and vector databases
  • Retrieval‑Augmented Generation (RAG)
  • Build and deploy AI services on AWS using cloud‑native patterns.
  • Work hands‑on with AWS services such as:
  • Leverage AWS Bedrock (Agents, Knowledge Bases) and Amazon SageMaker to operationalize AI solutions.
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