AI Engineer

Dhaka Technologies Limited Company | Contract

Engagement Type: W2 or 1099 only; no C2C

Dhaka Technologies Limited is seeking a hands-on AI Engineer to support the ongoing operation, modernization, and extension of AI-enabled applications for state agency programs involving confidential, regulated, and sensitive business data.

The selected candidate will work primarily in Python within modern web frameworks such as FastAPI
, deploy and maintain services in Microsoft Azure
, and use Git-based source control with pull-request workflows. This role requires practical experience building AI-powered applications using large language models, maintaining secure production services, and supporting modern AI-assisted software development practices.

This is an applied technical role for a candidate who can write, review, debug, deploy, and maintain reliable production code while working with business users, analysts, technical teams, and centralized AI engineering resources.

• Maintain, enhance, and extend existing AI-enabled applications and supporting services.
• Develop and support Python-based web applications, APIs, and backend services.
• Build, integrate, and improve applications powered by large language models such as OpenAI GPT, Google Gemini, Anthropic Claude, or similar platforms.
• Analyze business and technical requirements and participate in project planning sessions with customers, analysts, and team members.
• Provide design recommendations for routine to moderately complex systems and application enhancements.
• Prepare source code, debug issues, correct errors, and maintain software integrity.
• Configure, deploy, monitor, and maintain applications and supporting services in cloud environments.
• Deploy and manage services using Microsoft Azure technologies such as App Service, Storage, Key Vault, and related services.
• Design and develop routine to moderately complex applications, including data flows, screens, forms, APIs, reports, and supporting workflows.
• Compare, evaluate, and select AI models for specific use cases, including A/B testing model performance on defined tasks.
• Use AI-assisted coding tools to write, review, test, debug, and improve software while validating output for production quality.
• Apply secure development practices for applications handling confidential, regulated, or sensitive data.
• Support integration of application systems into existing infrastructure and cloud environments.
• Document system processes, application workflows, technical procedures, configuration details, and deployment steps.
• Participate in the evaluation of new AI, cloud, and software development technologies.
• Collaborate with centralized AI engineering teams, architecture teams, infrastructure teams, and business stakeholders.
• Take user requests from intake through development, testing, deployment, and production support with appropriate guidance.
• Perform related duties as assigned.

• Minimum 3 years of Python development experience in a web environment involving application logic and web APIs.
• Minimum 2 years of experience building applications powered by large language models, such as OpenAI GPT, Google Gemini, Anthropic Claude, or similar LLMs.
• Minimum 2 years of professional experience comparing and selecting AI models, including methods such as A/B testing models on specific tasks.
• Strong knowledge of modern programming practices, with emphasis on Python and related web application frameworks.
• Knowledge of systems analysis, design, software development, and programming principles.
• Knowledge of modern AI-assisted software development workflows and tools.
• Ability to effectively use coding assistants for writing, reviewing, debugging, and improving code while independently validating the results.
• Knowledge of secure software development practices.
• Understanding of appropriate handling of confidential, regulated, or sensitive data.
• Knowledge of security considerations specific to AI-enabled applications.
• Ability to support requirements analysis, design discussions, application development, testing, deployment, and production support.
• Exceptional written and verbal communication skills are required.
• Strong interpersonal skills and ability to collaborate with technical and non-technical stakeholders.

• 2+ years of experience deploying applications and supporting services in cloud environments.
• 2+ years of experience deploying and maintaining services on Microsoft Azure, including App Service, Storage, Key Vault, and related services.
• 2+ years of experience using Git-based source control and pull-request workflows.
• 1+ year of previous experience working directly with a state government agency in AI development.
• Experience with FastAPI or similar Python web frameworks.
• Experience developing AI-enabled applications in environments involving financial, examination, compliance, regulatory, or confidential business data.
• Experience working with centralized AI engineering,…