Dhaka Technologies Limited Company - AI Engineer

AI Engineer is needed in Hartford, United States.

Client: Dhaka Technologies Limited Company

Location: Hartford, CT, CT, us

Contract: Contract

Job Description

This is a remote position. 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.

Requirements

Required Qualifications

• 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.

Preferred Qualifications

• 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, architecture, or shared infrastructure teams.
• Experience documenting technical procedures, workflows, deployment steps, and system processes.
• Experience evaluating new AI models, tools, frameworks, or cloud services for practical production use.

Technical Skills

• Python
• FastAPI or similar web frameworks
• REST APIs and web application development
• Large language models
• OpenAI GPT, Google Gemini, Anthropic Claude, or similar AI platforms
• AI model evaluation and A/B testing
• Microsoft Azure App Service
• Azure Storage
• Azure Key Vault
• Cloud deployment and monitoring
• Git and pull-request workflows
• Secure software development
• AI-assisted coding tools
• Technical documentation

Other Information

The ideal candidate is a practical AI engineer with strong Python development skills, hands-on LLM application experience, and the ability to ship secure, reliable production code. This individual should be comfortable working with AI-assisted coding tools, validating generated code, deploying cloud-based services, handling regulated data responsibly, and communicating clearly with both technical teams and business stakeholders. This role is best suited for someone who can balance applied AI development, secure engineering practices, cloud operations, and strong communication in a production-focused environment.