We are seeking a Full-Stack Python Django Developer with expertise in developing and deploying AI Agents and automation workflows. Your role will involve handling the entire application development process, from backend architecture and APIs to frontend implementation, deployment, and integration of AI-powered functionalities. Responsibilities: - Design, create, and maintain scalable web applications using Python (Django) and JavaScript frameworks (React/Vue preferred). - Develop and integrate AI Agents (such as OpenAI, LangChain, RAG models) into web platforms. - Collaborate closely with product and design teams to convert user requirements into technical solutions. - Implement APIs for data exchange, model inference, and integration with third-party tools. - Manage CI/CD pipelines, containerization (Docker), and deployment on cloud platforms (AWS, GCP, Azure). - Ensure the security, code quality, performance, and scalability of applications. Required Skills: - Minimum 4 years of hands-on experience with Python and Django (DRF). - Strong proficiency in fullstack development including HTML, CSS, JavaScript, React/Vue. - Demonstrated expertise in building and integrating AI agents using frameworks like LangChain, OpenAI APIs, Pinecone, Vector DBs, etc. - Proficient in RESTful APIs, WebSockets, and asynchronous task queues (Celery, Redis). - Familiarity with cloud deployment, containerization (Docker), and orchestration (Kubernetes). - Knowledge of AI/ML pipeline architecture, prompt engineering, and large language model workflows.,
You will be part of a team that is developing an enterprise-grade, AI-powered agentic platform for the recruitment industry. Your role as a technical Co-Founder (CTO) will involve leading the development journey and defining the technical vision and architecture of the product from the ground up. Your responsibilities will include: - Defining and executing the technology strategy, roadmap, architecture, and infrastructure for a scalable, secure, and high-performing platform. - Leading hands-on development of the core platform, including AI agent integration, workflow automation, and data interaction layers. - Architecting and implementing LLM-based agentic features using tools like LangChain, OpenAI APIs, RAG pipelines, and vector databases. - Hiring, managing, and mentoring a high-performing engineering team across frontend, backend, ML, and DevOps. - Designing systems to handle large datasets, including data pipelines, analytics, and secure storage solutions. - Overseeing CI/CD pipelines, cloud infrastructure, monitoring, and cost-optimized deployments using AWS/GCP/Azure. The ideal candidate will have: - Proven experience in building and scaling enterprise-level web or mobile apps, preferably from 0 to 1. - Strong skills in Python/Django or Node.js, and modern JS frameworks such as React or Vue. - Deep experience with LLM integration, AI frameworks like LangChain and LlamaIndex, and vector databases like Pinecone and FAISS. - Solid understanding of database architecture, distributed systems, and API-first product development. - Past experience in leading or managing engineering teams. - Experience working in or co-founding an early-stage startup (preferred but not mandatory). Nice to have qualifications include: - Experience with multi-agent orchestration platforms like AutoGen, CrewAI, or AutoGPT. - Exposure to SaaS security, compliance, and data governance. - Knowledge of MLOps and deployment of AI models in production.,
You will be responsible for end-to-end application development, from backend architecture and APIs to frontend implementation, deployment, and integration of AI-powered features. Your key responsibilities will include designing, developing, and maintaining scalable web applications using Python (Django) and JavaScript frameworks (React/Vue preferred). You will also be tasked with building, training, and integrating AI Agents (OpenAI, LangChain, RAG models, etc.) into web platforms. Collaborating closely with product and design teams, you will translate user needs into technical solutions and implement APIs for data exchange, model inference, and third-party tool integrations. Additionally, you will manage CI/CD pipelines, containerization (Docker), and deployment on cloud platforms (AWS, GCP, Azure) while ensuring security, code quality, performance, and scalability of applications. The ideal candidate should possess 4+ years of hands-on experience with Python and Django (DRF) along with strong fullstack development skills in HTML, CSS, JavaScript, React/Vue. A proven track record of building and integrating AI agents using frameworks like LangChain, OpenAI APIs, Pinecone, Vector DBs, etc. is required. Proficiency in RESTful APIs, WebSockets, and asynchronous task queues (Celery, Redis) is essential. Familiarity with cloud deployment, containerization (Docker), and orchestration (Kubernetes) is expected. Knowledge of AI/ML pipeline architecture, prompt engineering, and large language model workflows will be beneficial for this role.,
You will be responsible for working across multiple Workday modules, delivering innovative solutions tailored to client needs. Your role will involve configuring and customizing Workday to optimize HR and financial operations. You should be able to adapt quickly to diverse project demands as no two days are the same. Independently gathering client requirements, analyzing business challenges, and designing transformational solutions will be part of your daily tasks. Engaging in both Workday implementations and post-production support is crucial to ensure ongoing value for clients. You will need to step up when needed by leading teams, driving projects, and creating impact. Additionally, you will be required to mentor and upskill the next generation of Workday consultants through our Graduate Program and serve as a trusted Workday advisor, guiding clients to maximize their Workday investment. Collaboration with some of the best Workday minds in the industry is also expected. Desired Skillset: - A Workday Functional Consultant with 3-5 years of hands-on experience. - Passionate about Workday HCM and eager to explore different Workday modules. - A problem solver who doesn't just follow a playbook but creates solutions that work. - Confident in both Workday implementation and post-production support. - An excellent communicator and stakeholder manager, capable of building strong client relationships. - Ready to take ownership, lead teams, and deliver results. - Driven to grow, learn, and make a real impact in the Workday ecosystem. Why Join Us By joining our team, you will have the opportunity to work with an industry-leading team of Workday experts. You will gain exposure to diverse projects and clients, with opportunities to lead, mentor, and grow within the Workday space. We offer a culture that values innovation, collaboration, and professional development.,
As a Data Integration Specialist, you will be responsible for developing and managing data integration processes using SAP Data Intelligence (SAP DI). Your role will involve designing, building, and optimizing data workflows to ensure efficient data management and integration. You will monitor, troubleshoot, and resolve issues related to data flows to ensure data integrity and quality. Implementing error handling and recovery mechanisms will be crucial to maintaining seamless data operations. Collaboration with cross-functional teams to support data transformation and migration projects will also be a key aspect of your role. To excel in this position, you must possess expertise in SAP Data Intelligence (SAP DI) and have a strong background in ETL (Extract, Transform, Load) processes. Proficiency in SQL for data querying and manipulation is essential, along with hands-on experience in Python for automation and scripting. Strong analytical and problem-solving skills will be necessary to tackle challenges effectively. The ability to work in a fast-paced, collaborative environment is also a critical competency for success in this role. The ideal candidate will have a Bachelors or Masters degree in Computer Science, Information Technology, or a related field. This educational background will provide you with the foundational knowledge and skills needed to perform effectively in this position.,
As a Pega Senior System Architect based in Sydney, you will be an integral part of the consulting lifecycle, involved in various stages from problem definition to solution design, development, and deployment. Your role will be crucial in delivering impactful technology solutions, guiding project teams, contributing to proposal development, and supporting client training and internal capability-building. You will be responsible for leading the design, development, and deployment of Pega-based applications, ensuring alignment with business and technical requirements to meet customer needs. Your technical expertise will be instrumental in providing leadership and mentorship to teams, ensuring adherence to best practices, and contributing to process automation initiatives using BPM solutions. Additionally, you will be required to prepare design documents, technical effort estimates, and ensure that the delivered solutions comply with enterprise architecture standards. The ideal candidate for this role should have experience in technology consulting, enterprise architecture, and solution development. You should possess hands-on experience in Pega v8.x/Infinity and Pega frameworks, along with a Pega CSSA certification in v8.x or Infinity. Strong knowledge of J2EE, .NET, web development, and deep understanding of PRPC architecture, design, and implementation features are essential. Consulting experience and the ability to work in a dynamic consulting environment with potential travel are also preferred qualifications. In addition to technical skills, excellent customer-facing, communication, and problem-solving abilities are highly valued for this role. A strong analytical mindset with attention to detail, coupled with the ability to drive innovation and efficiency in business processes, will be beneficial in fulfilling the responsibilities of a Pega Senior System Architect.,