• Design, develop, and maintain responsive web and mobile applications
• Work across the entire product lifecycle: planning, development, testing, deployment, and support
• Implement robust APIs and backend services with clean architecture
• Collaborate with UI/UX designers to build intuitive and seamless user experiences
• Optimize applications for maximum performance and scalability
• Identify and troubleshoot application issues and bugs
• Maintain clear documentation for code, processes, and standards
• Stay updated on emerging technologies and propose improvements when applicable

• Proficiency in front-end frameworks such as React / Angular / Vue
• Experience with mobile frameworks like React Native / Flutter
• Strong backend development skills using Node.js / Java / Python / .NET
• Hands-on experience with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB)
• Familiarity with RESTful APIs and microservices architecture
• Understanding of DevOps tools and CI/CD pipelines
• Experience working with cloud platforms like AWS / Azure / GCP
• Knowledge of version control systems such as Git

• Experience with automated testing and performance tuning
• Knowledge of security best practices for web and mobile apps
• Familiarity with Agile development methodologies
• Experience with third-party integrations and API consumption

• Strong communication and collaboration abilities
• Problem-solving mindset with attention to detail
• Ability to manage time effectively and deliver quality results
• Willingness to learn and adapt in a fast-moving environment

Role Summary

What You Will Own

• Feature Delivery
  • Take high-level ideas / requirements and convert them into user flows, edge cases, and implementation plans.
  • Break down work into tickets, estimate effort, and track progress during the sprint.
  • Deliver features for web (React) and mobile (React Native) from UI to integration.

• Product & Collaboration
  • Work directly with product owners / stakeholders to clarify scope and acceptance criteria.
  • Ask the right questions when requirements are unclear instead of just “building whatever is written”.
  • Participate in daily standups, sprint planning, reviews, and retros with a solution-oriented mindset.
  • Prepare and present feature demos / UAT walkthroughs to non-technical stakeholders.

Documentation & Quality

• Create and maintain simple but clear documentation:
  • feature briefs / user stories
  • API assumptions

• edge cases and test scenarios
• Ensure features are tested (happy paths + critical edge cases) before marking them “done”.
• Support release notes / handover for QA or clients when needed.

Ownership & Problem-Solving

• Proactively highlight risks, dependencies, or blockers early (instead of at the end of the sprint).
• Propose practical solutions or workarounds when issues arise — not just report problems.
• Take responsibility for your modules in production and help fix issues when they appear.

Core Skills & Experience (Must Have)

• 2–4 years of experience as a Frontend Developer working on live products (not just demo or training projects).
• Hands-on experience with React and React Native using JavaScript or TypeScript.
• Good understanding of Agile ways of working:
  • sprints, standups, planning, retros, estimation.
• Strong communication skills:
  • can explain technical decisions in simple language,
  • can write clear comments, documentation, and updates in tools like Jira / ClickUp / Notion.
• Experience working with:
  • API integrations (REST/JSON),
  • basic state management (Redux / Context / similar),
  • Git (branches, PRs, code reviews).
• Mindset:
  • proactive, asks questions early,
  • willing to take ownership of tasks from planning → implementation → testing → release.

Nice to Have

• Experience in a product company or long-term product engagement, not only short-term projects.
•  knowledge of:
  • Firebase (Auth, Database, Analytics)
  • Error tracking / monitoring tools (Sentry or similar)
• Exposure to:
  • CI/CD (GitHub Actions / Bitbucket Pipelines),
  • App releases (Play Store / App Store) for React Native projects.
• Understanding of:
  • Understanding of performance optimization (avoiding unnecessary re-renders, app responsiveness),
  • mobile/web best practices and basic security hygiene.

Role Overview

As a Junior Business Development Associate, you will play an instrumental role in driving growth, expanding our network, and supporting client engagement initiatives. This position is ideal for enthusiastic, proactive graduates who possess excellent communication skills and a keen interest in emerging technologies especially artificial intelligence and language models.

Role Overview
We’re seeking a dedicated Business Associate(Upwork Specialist & Online Bidding Expert) with a strong background in securing projects through Upwork and other online bidding platforms. The ideal candidate will have experience in the IT and software development sector, with a deep understanding of the bidding process on Upwork and other freelance platforms. This role demands a strategic thinker with exceptional communication skills and a knack for developing compelling proposals that resonate with potential clients.

Primary Responsibilities :- 

• Expertly manage Upwork and other online bidding portals to secure mobile app and software development projects.
• Conduct thorough research to understand potential clients needs and tailor proposals accordingly.
• Maintain a high level of activity on Upwork, ensuring timely responses to project postings and inquiries.
• Collaborate with the technical team to understand Amplework Software’s capabilities and strengths, leveraging this knowledge in proposal creation.
• Analyze market trends and competitor activity on Upwork to identify new opportunities and areas for improvement.
• Build and maintain strong relationships with clients, focusing on long-term partnership and satisfaction.

Requirements:

• Proven experience as a Business Associate, specifically with winning bids on Upwork & other online bidding portal in the software development industry.
• Strong understanding of the mobile app development process and the ability to communicate technical concepts effectively.
• Excellent written and verbal communication skills, with a flair for creating persuasive proposals.
• Ability to work independently, prioritize tasks, and manage time effectively.
• Knowledge of the latest industry trends, technology, and best practices in mobile app development.
• Bachelor’s degree in Business Administration, Marketing, or a related field is preferred.

What We Offer:

• A dynamic and supportive work environment where innovation and creativity are encouraged.
• Competitive salary with performance-based bonuses.
• Opportunities for professional growth and development.
• Flexible working hours to support work-life balance.
• A chance to be a part of a growing company with a global client base.

Key Responsibilities:

• Develop and implement machine learning models using Python-based frameworks.
• Collaborate with the AI team to build, train, and optimize models for various applications.
• Utilize AI libraries such as TensorFlow, PyTorch, and spaCy to develop solutions.
• Contribute to the design and development of AI systems that leverage large language models (LLMs) and other advanced AI techniques.
• Work with data preprocessing, data augmentation, and model evaluation techniques.
• Assist in AI model deployment and integration with applications.

Required AI Skills and Knowledge:

• Basic understanding of AI concepts such as supervised and unsupervised learning, classification, clustering, and neural networks.
• Knowledge of AI libraries and frameworks:
  • TensorFlow, PyTorch, or Keras for deep learning.
  • spaCy for natural language processing.
  • scikit-learn for traditional machine learning.
• Familiarity with Large Language Models (LLMs), such as GPT, and their applications in natural language understanding and generation.
• Understanding of data preprocessing techniques, feature engineering, and model evaluation metrics.
• Awareness of AI ethics and responsible AI development practices.

Preferred Skills (Not Mandatory):

• Exposure to cloud-based AI development platforms (e.g., Google Cloud AI, AWS AI, or Azure AI).
• Familiarity with optimization techniques for AI model performance.
• Understanding of deep learning architectures like CNNs, RNNs, and transformers.

 Required Programming Skills:

• Python proficiency is essential.
• Familiarity with Python libraries like NumPy, pandas, and matplotlib for data manipulation and visualization.
• Experience with version control systems like Git.

Training and Development Opportunities:

• In-depth training on AI development, including machine learning and natural language processing.
• Exposure to Large Language Models (LLMs) and their use cases.
• Hands-on experience with AI frameworks and tools like TensorFlow, PyTorch, and spaCy.
• Guidance on best practices for deploying and scaling AI solutions in real-world environments

About Company

Amplework Software is a full-stack development agency specializing in end-to-end software solutions for global clients. We combine innovation, technology, and strategy to deliver products that drive digital transformation.
Our expertise spans custom software development, mobile applications, AI-driven solutions, and enterprise applications. Join our team to work on impactful, production-grade projects that use cutting-edge technologies to solve real business challenges.

Job Summary

We are seeking a hands-on AI Engineer with 2–3 years of experience delivering production-grade AI solutions. This is a strategic position where you’ll work on advanced AI initiatives — including LLMs, RAG pipelines, and multi-agent workflows — to build intelligent, scalable systems.

You will be responsible for building, fine-tuning, and deploying models, integrating them into production environments, and collaborating with cross-functional teams to deliver high-impact solutions for global clients.

Key Responsibilities

1. Design & Build: Develop and deploy AI/ML solutions for real-world business problems.
2. LLM Engineering: Fine-tune and evaluate LLMs (OpenAI GPT, LLaMA, Mistral) for domain-specific tasks.
3. RAG & Multi-Agent Systems: Build and optimize retrieval-augmented generation pipelines, vector search workflows, and multi-agent orchestration.
4. API Development: Build scalable inference APIs with FastAPI/Flask, focusing on concurrency and performance.
5. Deployment & MLOps: Collaborate with DevOps to containerize models (Docker) and deploy them on AWS/GCP/Azure.
6. Model Monitoring: Track performance in production, iterate to improve accuracy, reliability, and cost efficiency.
7. Continuous Learning: Stay updated with AI trends and propose innovative solutions for client projects.

Required Skills & Qualifications

Education:

• Bachelor’s degree in Computer Science, Engineering, AI, or a related field.

Experience:

• 2–3 years of professional experience in AI/ML engineering, data science, or related software development roles.
• At least one end-to-end AI project where you worked across multiple teams and led the technical delivery from initial design through deployment and monitoring.

Technical Proficiency:

• Strong foundation in Python and ML/AI fundamentals (transformers, embeddings, NLP).
• Hands-on experience with at least one GenAI/LLM framework (OpenAI API, Hugging Face, LangChain, LlamaIndex).
• Experience integrating AI models into production systems and building REST APIs.
• Familiarity with containerization (Docker) and cloud platforms (AWS/GCP/Azure).

Core Attributes:

• Strong problem-solving ability and a passion for innovation.
• Clear communication skills — can explain technical decisions to teammates and stakeholders.
• Ownership mindset — delivers quality solutions with minimal supervision.
• Curiosity to explore and adopt new AI tools and frameworks proactively.

Who Should Not Apply

This role is not for those who:

• Prefer strictly rule-based programming without flexibility for experimentation.
• Are uncomfortable with fast-paced learning, ambiguity, and solving open-ended problems.
• Lack interest in communicating solutions clearly to non-technical stakeholders.
• Always seeking help from others to finish the job.

How to Apply

Interested candidates can apply directly via the LinkedIn job post.
Please include a brief note on the most impactful AI project you’ve worked on and your contribution.