AI Engineer

This is a remote position.

AI Engineer

Vacancy: 1

Work Arrangement: Remote

Location: Hartford, CT is 06105

Employment Type: Contract

Engagement Type: W2 or 1099 only; no C2C

Position Overview

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.

Key Responsibilities

• 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.

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

Ideal Candidate Profile

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.

How to Apply

Interested candidates who meet the qualifications should send their resume to: [email protected]

Originally posted on Himalayas