Lead AI Engineer at Indeed

Dubai, Dubai, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

21 Dec, 26

Salary

7000.0

Posted On

22 Sep, 26

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Services

Description

Architect and implement secure, scalable Web APIs in Python (e.g., FastAPI), including authentication/authorization, rate limiting, and observability.
Design, develop, test, version, and publish Python SDKs, including semantic versioning, strong documentation, and samples.
Leverage AI-assisted development tools to accelerate coding, refactoring, test generation, and code reviews while enforcing standards.
Build, deploy, and operate applications on Azure and/or AWS (e.g., Azure Functions, App Service, AKS; or AWS Lambda, ECS/EKS), using infrastructure-as-code where appropriate.
Develop AI solutions using LLMs and RAG (e.g., Azure OpenAI Service, Amazon Bedrock, embeddings, vector stores), including prompt design, evaluation, and guardrails.
Implement robust testing and validation (unit, integration, contract, and load tests) and ensure high code coverage and quality gates.
Instrument services with logging, metrics, tracing, and dashboards; proactively identify and remediate bottlenecks and defects.
Collaborate with product, data, security, and platform teams to define requirements, ship features, and meet SLAs/SLOs.
Mentor developers on Python best practices, AI-assisted development, performance, security, and operational excellence.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Architect and implement secure, scalable Web APIs in Python (e.g., FastAPI), including authentication/authorization, rate limiting, and observability.
Design, develop, test, version, and publish Python SDKs, including semantic versioning, strong documentation, and samples.
Leverage AI-assisted development tools to accelerate coding, refactoring, test generation, and code reviews while enforcing standards.
Build, deploy, and operate applications on Azure and/or AWS (e.g., Azure Functions, App Service, AKS; or AWS Lambda, ECS/EKS), using infrastructure-as-code where appropriate.
Develop AI solutions using LLMs and RAG (e.g., Azure OpenAI Service, Amazon Bedrock, embeddings, vector stores), including prompt design, evaluation, and guardrails.
Implement robust testing and validation (unit, integration, contract, and load tests) and ensure high code coverage and quality gates.
Instrument services with logging, metrics, tracing, and dashboards; proactively identify and remediate bottlenecks and defects.
Collaborate with product, data, security, and platform teams to define requirements, ship features, and meet SLAs/SLOs.
Mentor developers on Python best practices, AI-assisted development, performance, security, and operational excellence.