AI Engineer

Job not on LinkedIn

🕒 June 29

🦌 Connecticut – Remote

🦌 Connecticut – Remote

💵 $45 - $55 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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Dhaka Technologies Limited Company

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2019

🤝 B2B

🏢 Enterprise

🔒 Cybersecurity

B2B • Enterprise • Cybersecurity

Dhaka Technologies Limited Company is an IT services and consulting firm that provides software development, cloud implementation and migration, cybersecurity, data engineering, AI and blockchain solutions, hardware & software provisioning, and staff augmentation. The company presents itself as a provider of end-to-end IT solutions — from strategy and infrastructure architecture to application development, DevOps, testing, and 24/7 support — and targets businesses and enterprise clients. The site lists a Washington, D. C. address and emphasizes more than 10 years of industry experience, scalable and secure technology integration, and a technology stack that includes web and mobile development, AI, blockchain, and cloud services.

📋 Description

• 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

• 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.