Job Summary

We are looking for a highly skilled and passionate Python AI Developer with 2 to 5 years of experience to join our dynamic team. The ideal candidate will have hands-on experience with Python frameworks such as Flask, Django, and FastAPI, and will be proficient in implementing AI-driven solutions, specifically using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and OpenAI APIs. This role will focus on developing scalable backend applications, integrating cutting-edge AI technologies, and designing performant, reliable APIs for internal and external use.

Key Responsibilities

• Backend Development: Design, develop, and deploy scalable backend applications using Flask, Django, and FastAPI.
• AI/ML Model Integration: Build and integrate AI/ML models, including Large Language Models (LLMs) for natural language processing (NLP) and automation tasks.
• Retrieval-Augmented Generation (RAG): Implement RAG pipelines, including vector database integrations (e.g., Pinecone, FAISS, Chroma, Weaviate).
• AI Ecosystem Integration: Work with OpenAI, Hugging Face, LangChain, and other AI tools to build intelligent, cutting-edge applications.
• API Development: Develop and manage RESTful and GraphQL APIs to integrate with both internal and external systems.
• Performance Optimisation: Optimise code performance, ensure data security, and maintain system reliability at scale.
• Cross-functional Collaboration: Collaborate with data scientists, front-end developers, and product teams to deliver end-to-end AI solutions.
• Research & Innovation: Continuously research and evaluate emerging AI technologies and Python frameworks to enhance the team's capabilities and products.

Required Skills and Qualifications

• Programming Languages: Advanced proficiency in Python.
• Frameworks: Experience with Flask, Django, FastAPI for backend development.
• AI/ML Tools:
  • Expertise in working with OpenAI API, LangChain, Hugging Face.
  • Familiarity with Retrieval-Augmented Generation (RAG) architectures and vector databases like Pinecone, FAISS, Chroma, Weaviate.
  • Experience with LlamaIndex and other tools in the AI ecosystem.
• Databases: Proficiency in working with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, and Redis.
• Cloud & DevOps: Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes (preferred).
• Version Control: Proficiency in using Git and GitHub/GitLab for version control.
• Others: Strong knowledge in RESTful API design, microservices architecture, JSON, and WebSocket.
• Educational Background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• AI Model Expertise: Hands-on experience with prompt engineering and fine-tuning large language models (LLMs).
• MLOps Knowledge: Familiarity with AI model deployment pipelines and MLOps practices.
• AI Integration: Knowledge of data preprocessing, feature engineering, and integrating AI models into web applications.

Soft Skills

• Analytical Thinking: Strong problem-solving and analytical skills to tackle complex AI challenges.
• Communication: Excellent communication skills to collaborate effectively with cross-functional teams.
• Teamwork: Strong teamwork abilities, able to work collaboratively and contribute to team success.
• Proactive Mindset: Proactive attitude with a passion for exploring and experimenting with emerging AI technologies.

Job Summary

We are looking for a skilled QA Automation Engineer with 4-8 years of experience in software testing and automation. The ideal candidate will be responsible for designing, developing, and executing automated test scripts to ensure product quality, performance, and reliability across web and/or mobile applications.

Key Responsibilities

• Analyze requirements, user stories, and technical specifications
• Design, develop, and maintain automation test scripts
• Execute automated and manual test cases when required
• Perform functional, regression, integration, and API testing
• Identify, document, and track defects using bug-tracking tools
• Collaborate with developers and product teams to resolve issues
• Participate in sprint planning, reviews, and retrospectives
• Continuously improve test frameworks, tools, and processes
• Prepare test reports and quality metrics

Required Skills and Qualifications

• 4-8 years of experience in QA with hands-on automation testing
• Experience with automation tools such as Selenium, Cypress, Playwright, or similar
• Knowledge of programming/scripting languages (Java, Python, JavaScript, etc.)
• Experience with API testing tools (Postman, RestAssured, etc.)
• Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.)
• Understanding of Agile/Scrum methodology
• Strong analytical and problem-solving skills
• Good communication and teamwork abilities

Good to Have

• Experience in performance or security testing
• Knowledge of containerization/cloud environments
• Exposure to mobile automation tools (Appium, etc.)

Education

• Bachelor's degree in Computer Science, IT, or related field (or equivalent experience)

Job Summary

We are seeking an experienced DevOps Engineer with hands-on experience in cloud platforms, CI/CD tools, containerization, orchestration, and monitoring. The ideal candidate will have strong Linux skills and the ability to deploy and manage PHP, .NET, React, and Node.js applications using efficient DevOps practices.

Key Responsibilities

• Design, implement, and manage cloud infrastructure primarily on AWS, with working knowledge of GCP and Azure.
• Build, manage, and optimize CI/CD pipelines using AWS CI/CD services, GitHub Actions, and Jenkins.
• Containerize applications using Docker and orchestrate workloads with Kubernetes.
• Monitor system performance and application health using industry-standard monitoring tools.
• Maintain and troubleshoot Linux-based servers.
• Automate deployments for PHP, .NET, React, and Node.js projects following best practices.
• Collaborate with development teams to ensure smooth deployment cycles and scalability.
• Ensure security, reliability, and efficiency of infrastructure and deployments.

Required Skills and Qualifications

• Proven experience with AWS, with additional exposure to GCP and Azure.
• Strong knowledge of CI/CD pipelines, including Jenkins, GitHub Actions, and AWS CI/CD services.
• Hands-on experience with Docker and Kubernetes.
• Familiarity with monitoring and logging tools (e.g., CloudWatch, Prometheus, Grafana, ELK stack).
• Strong Linux administration skills.
• Ability to deploy and manage applications in PHP, .NET, React, and Node.js environments.
• Strong problem-solving skills, attention to detail, and ability to work in a collaborative team environment.

Preferred Qualifications

• Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation.
• Knowledge of serverless architectures and microservices.
• Familiarity with security best practices in cloud deployments