AI Software Engineer

Job Description

Title: AI Software Engineer

Company Name: Niduslab

Vacancy: 3

Age: 22 to 40 years

Job Location: Dhaka

Salary: Negotiable

Experience:

• 1 to 5 years
• The applicants should have experience in the following business area(s): Software Company

• Bachelor in Engineering (BEngg) in Computer Engineering
• Bachelor in Engineering (BEngg) in Computer Applications
• Bachelor in Engineering (BEngg) in Computer Science
• Bachelor of Computer Application (BCA)

• 1 to 5 years
• The applicants should have experience in the following business area(s): Software Company

• Age 22 to 40 years

About NidusLab

NidusLab is a premium technology company delivering cutting-edge software development, application development, web development, and AI-driven solutions. In addition to providing full-scale digital services, NidusLab develops innovative in-house products designed to solve real-world challenges:

• NidusTime: An all-in-one HR management platform offering time tracking, task management, payroll, recruitment, and workforce automation

• NidusJob: An AI-integrated job marketplace that redefines how candidates and employers connect

• AZKINC: A global platform connecting consultants from diverse fields—including business & management, career development, health & wellness, life coaching, finance, and education—empowering professionals to reach clients worldwide and deliver transformative results.

Position Overview

NidusLab is seeking highly capable, innovative, and results-driven Senior and junior AI Software Engineers to design, develop, and optimize intelligent software solutions across our products and internal systems.

This role combines full-stack software engineering with AI feature development, making it ideal for a professional who can work across frontend, backend, APIs, databases, and modern AI technologies to build scalable, practical, and high-impact applications.

Key Responsibilities

Full-Stack Software Development

• Design, develop, test, and maintain frontend and backend components for web applications, software products, and internal platforms

• Build responsive, scalable, and user-friendly interfaces using modern frontend frameworks and development practices

• Develop robust backend services, APIs, business logic, and integrations to support application functionality

• Write clean, efficient, maintainable, and reusable code aligned with software engineering best practices

AI Solution Development

• Design and integrate AI-powered features into software products and internal systems

• Build and implement intelligent workflows using machine learning models, LLMs, NLP, automation tools, or AI APIs

• Research, evaluate, and integrate third-party AI tools, models, and platforms for practical product use cases

• Develop prompt-based workflows, AI assistants, recommendation logic, and automation systems where applicable

• Test, monitor, and refine AI outputs to improve quality, consistency, and user experience

Backend, API & Database Engineering

• Develop and maintain REST APIs, service integrations, and backend modules

• Design and manage database structures, queries, data flow, and system connectivity

• Ensure effective communication between frontend, backend, AI services, and third-party platforms

• Support secure authentication, authorization, data handling, and backend optimization.

Research, Prototyping & Innovation

• Explore emerging technologies, frameworks, and tools relevant to AI and full-stack software engineering

• Build prototypes, proofs-of-concept, and experimental solutions to validate new ideas and product opportunities

Testing, Quality & Documentation

• Conduct testing, validation, debugging, and performance analysis across software modules and AI-enabled features

• Document technical architecture, feature logic, APIs, workflows, and implementation notes

Collaboration & Execution

• Work closely with product managers, designers, engineers, and leadership to deliver high-quality software solutions

• Translate business needs into technical solutions and implementation plans

• Support project execution through clear communication, task ownership, and timely delivery

• Participate in brainstorming sessions, planning meetings, and cross-functional collaboration

Educational Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Technology, or a related field

• Equivalent practical experience may also be considered

Required Qualifications

• Strong experience in full-stack software development and modern web application engineering

• Proficiency in one or more programming languages such as Python, JavaScript, TypeScript, Java, or C#

• Experience with frontend and backend frameworks used in modern web development

• Strong understanding of REST APIs, JSON, backend integrations, and database systems

• Solid understanding of debugging, testing, version control, and code organization

• Familiarity with AI concepts such as LLMs, NLP, machine learning workflows, intelligent automation, or prompt engineering

• Experience or strong working knowledge of integrating AI APIs or AI-based tools into software applications

• Strong analytical thinking, problem-solving ability, and attention to detail

• Proficient in Claude code, cowork, skills, project etc.

• Good written and verbal communication skills in English

• Ability to work effectively in a fast-paced startup environment

Preferred Technical Skills

Candidates with experience in any of the following areas will have an advantage:

• Frontend: React, Next.js, Vue.js, Angular, HTML5, CSS3, JavaScript, TypeScript

• Backend: Node.js, Express.js, Python, FastAPI, Flask, Django, NestJS, or similar technologies

• Database: PostgreSQL, MySQL, MongoDB, Firebase, Redis, or similar systems

• AI/ML Tools: OpenAI APIs, LangChain, Hugging Face, TensorFlow, PyTorch, Scikit-learn, vector databases, or related tools

• Dev Tools: Git/GitHub, Docker, Postman, CI/CD workflows, cloud deployment environments, prompt engineering, workflow automation, AI experimentation, system integration.

Core Competencies

• Strong ownership mindset

• Logical and analytical thinking

• Problem-solving ability

• Curiosity about AI and emerging technologies

• Team collaboration and communication skills

• Attention to detail and quality