We are seeking experienced paraplanners to support our financial planning consultants in Ireland. The role involves producing high-quality recommendation reports and providing administrative and research support to ensure excellent service for our individual clients. Key Responsibilities: Prepare and review financial recommendation reports based on fact finds provided by the advisors. Support the ongoing review and servicing needs of individual clients. Conduct research on investment, pension, ARF, and protection products aligned with Irish market standards. Keep insurance provider terms and fund data up to date. Maintain and manage report templates for client recommendations. Respond to client-related queries efficiently and professionally (through consultants). Work closely with the advisors, maintaining strong communication and collaboration. Assist in preparing and delivering member advice projects as needed. Develop resources on current financial planning topics for use by advisors. Requirements: Prior experience in paraplanning or financial services. Strong knowledge of financial products (life insurance, pensions, investments). Excellent written and verbal English communication skills with strong attention to detail. Proficiency with financial planning tools, report writing, and MS Office. Ability to manage tasks independently and meet deadlines. Willingness to work during UK/Irish business hours (1:30 pm to 9:30 pm IST) Role & responsibilities
Analysis & Design: Analyse legal/business requirements and translate them into product features. Collaborate with regulatory experts and stakeholders to define scope and align with product strategy. Conduct feasibility studies and visualize solutions through models/diagrams. Logic Development: Develop and optimize regulatory logic for seamless system integration. Maintain development environments and deliverables. Follow best practices and mentor new developers. Ensure timely, high-quality logic releases. Documentation & Testing: Create internal/external documentation as per SOPs. Perform developer, functional, and regression testing. Identify and resolve defects to maintain product quality. Customer Support: Provide technical and regulatory support to internal/external clients. Participate in meetings to ensure alignment with business needs. Continuous Improvement: Identify and implement improvements in development processes. Automate development and QA steps where possible. Lead improvement initiatives and tool development. Innovation & Collaboration: Stay updated with new technologies and methodologies. Engage with team members and stakeholders across departments. Participate in Agile ceremonies and foster team synergy. Communication & Growth: Ensure transparent, effective communication. Provide feedback and mentoring. Pursue continuous learning and professional development. Who You Are (Education and Qualification Requirements): Bachelors degree or equivalent experience. Good to have knowledge in SAP EHS Experience in SDLC, programming, and database systems (Oracle, SQL Server, Access). Knowledge of SQL, data analysis, and database design. Familiarity with version control (Git), debugging, and software testing. Strong communication, analytical, and problem-solving skills. Experience with Agile/Scrum methodologies. Fluent in English (written and spoken). Strong attention to detail, quality, and multi-tasking ability
Role & responsibilities Agile Implementation & Coaching: Evolve Agile standards and practices. Coach teams on Agile principles and methodologies. Support new teams in adopting Agile. Facilitate effective Agile ceremonies (e.g., Sprint Planning, Standups, Retrospectives). Maintain and administer Agile tools (e.g., Jira). Team Support & Collaboration: Foster team ownership, cohesion, and empowerment. Encourage transparency, openness, and a collaborative environment. Align team efforts with portfolio schedules and sprint goals. Build strong relationships with cross-functional teams. Stakeholder Management: Facilitate clear communication and alignment with stakeholders. Identify dependencies and ensure coordination across teams. Provide updates, manage expectations, and promote feedback culture. Continuous Improvement & Innovation: Drive retrospectives and implement improvements. Promote a culture of innovation and adaptability. Analyse team performance metrics to guide improvements. Training & Development: Contribute to Agile training and knowledge sharing. Mentor team members and support professional growth. Preferred candidate profile Bachelor's degree or equivalent experience. • Certified Scrum Master (CSM) or similar certification. • Proven experience as a Scrum Master in Agile environments. • Strong understanding of Scrum/Agile practices and SDLC. • Proficiency in Jira, Trello, MS Office, and Windows OS. • Excellent communication, coaching, and facilitation skills. • Analytical and problem-solving mindset. • High attention to detail and quality. • Effective multitasking and time management. • Fluent in English (written and verbal). Preferred: • Knowledge of SAP EHS. Perks and benefits Mon - Fri Paid time off and holidays Flexible working hours Opportunity to work in a dynamic and collaborative environment Professional development and training opportunities Health Insurance for yourself and immediate family Other perks and benefits
Key Responsibilities: Architect and implement advanced AI solutions leveraging LLMs (and otheremerging architectures), embeddings, and agentic frameworks (e.g., OpenAI Agent SDK, AutoGPT, LangChain, CrewAI). Develop and refine AgenticAI systems focusingon planning, memory,tool utilization, and dynamic task critic execution. Engineer and optimize prompt engineering pipelines to achieve superioraccuracy and low latency across diverse applications. Fine-tune and deploy specialized LLMs and AI copilots to transform engineering and business operations. Collaborate with cross-functional teams to deliverproduction-grade solutions that create tangible value. Stay ahead of the curve by integrating emergingGenAI research and state-of-the-art capabilities into practical, real-world systems. Lead projects and mentor junior engineers, contributing to a culture of innovation and growth Required Qualifications: Experience: 3-8 years of hands-on ML/AI/Deep Learning experience, with a strong portfolio of real world application development. Technical Proficiency: Advanced Python skills and extensive experience with leading AI tools and libraries (OpenAI, Hugging Face, LangChain, PyTorch, TensorFlow). Core Knowledge: Deep understanding of Large Language Models (LLMs), embeddings, Retrieval Augmented Generation (RAG), and vector databases (e.g., FAISS, Weaviate). Prompt Engineering Mastery: Proven expertise in designing and implementing effective, reusable prompts for complex reasoning, classification, generation, and tool integration tasks across a wide variety of models including open-source solutions. Agentic AI Acumen: Prior experience with autonomous AI agents or multi-agent orchestration is a significant advantage. \ Mindset: A startup-ready attitude - agile, intellectually curious, and hands-on, thriving in fast paced, iterative environments Role & responsibilities
Job Summary: JOB DESCRIPTION We are seeking a skilled Database Administrator to manage, optimize, and secure our database systems, ensuring high availability and performance. The role involves day-to-day operations, backup/recovery, and integration of AI/ML-driven automation for smarter data management. Key Responsibilities: Database Operations: Manage global database systems ensuring high availability, performance, and security compliance. Daily Leadership: Oversee day-to-day database tasks, including monitoring, backups, disaster recovery, and solution engineering. AI Integration: Implement AI/ML-driven practices for smarter database optimization, automation, and analytics. Project Delivery: Lead database transformation initiatives, including modernization, migration, and governance efforts. Agile Practices: Use agile methods and performance metrics to drive efficient, transparent project execution. Process Standardization: Establish SOPs, automation tools, and documentation to streamline and scale operations. Stakeholder Collaboration: Coordinate with cross-functional teams (Product, HR, Finance, etc.) for aligned data strategies. Team Management: Build and mentor a global DBA team, fostering a culture of growth and high performance. Communication: Lead change initiatives with clear, proactive updates to ensure stakeholder alignment and adoption. Required Qualifications: Bachelors degree in Information Systems, Computer Science, or a related field; Masters degree preferred. 6 - 15+ years of experience in database engineering and administration, with at least 5 years in a leadership role managing global database teams and infrastructure. Expert-level proficiency with relational and non-relational database technologies (e.g., SQL Server, Oracle, PostgreSQL, MongoDB). Extensive experience managing large-scale database environments, ensuring high availability, disaster recovery, backup solutions, and performance optimization. Demonstrated success in transforming and modernizing database operations leveraging agile, lean, and AI-driven best practices. Experience with cloud-based database platforms and migrations (AWS, Azure, GCP). Executive-level communication skills, with proven ability to translate complex technical concepts clearly to diverse stakeholders Preferred: Experience in AI/ML-driven database operations, including AI code wrangling, AI agent development and deployment, predictive analytics, automated tuning, and anomaly detection. Familiarity with regulatory compliance and data security standards (GDPR, ISO 27001, SOC 2). Experience managing database infrastructure and transformation initiatives within regulated or data-intensive industries (RegTech, SaaS, digital product environments).
Overview: We are seeking an experienced Java Developer to join our dynamic team. The ideal candidate will have a deep understanding of Java, Spring Boot, and microservices, along with exposure to scripting languages like Python or Node.js for API development. This role will involve backend development, working with relational databases, minor front-end collaboration, and leveraging cloud services like AWS. Key Responsibilities: Back-End Development: Develop, maintain, and support scalable RESTful APIs and microservices architectures using Java , Spring Boot , and Hibernate . Write and integrate unit tests into test frameworks to ensure robust code. Perform performance analysis and tuning at both code and infrastructure levels. Scripting & API Development: Use Python or similar languages for ad-hoc scripting tasks and API development. Front-End Collaboration: Work closely with front-end developers, understanding front-end code to support integration. Make minor enhancements to front-end components as required. Database Management: Develop and troubleshoot complex SQL queries with PostgreSQL or similar relational databases. Use Hibernate and Spring libraries effectively for database interaction. Cloud Services & Deployment: Leverage AWS services (EC2, S3, RDS, Elastic Beanstalk) for application deployment and monitoring. Testing & Authentication: Implement unit and integration testing frameworks to maintain code quality. Manage authentication and authorization processes using SAML2/oAuth and Auth0 for single sign-on (SSO) and role-based access control. Problem-Solving & Teamwork: Demonstrate strong analytical and problem-solving skills with a focus on delivering practical solutions. Take initiative and ownership of tasks, showing a sense of urgency in project delivery. Skills & Qualifications: Proficiency in Java, Hibernate , and related technologies for back-end development. Experience developing and supporting RESTful APIs and working with microservices. Working knowledge of Python or Node.js for API scripting. Experience with PostgreSQL or similar databases, with strong SQL skills. Familiarity with AWS services (EC2, S3, RDS, etc.) for cloud deployment. Understanding of SSO patterns using SAML2/oAuth and tools like Auth0 . Excellent communication skills to convey technical concepts to non-technical stakeholders. Proven ability to work effectively in a team environment with ownership of responsibilities. Why Join Us? Collaborative Environment: Work with a talented team of developers on exciting, impactful projects. Professional Growth: Opportunities for learning new technologies and career advancement. Challenging Work: Solve complex technical challenges and make meaningful contributions.
JOB DESCRIPTION We are looking for a skilled AI/ML professional to develop, implement, and optimize machine learning models and AI solutions. The role involves data analysis, model training, and integrating AI into real world applications to solve complex business problems efficiently Key Responsibilities: Architect and implement advancedAI solutions leveraging LLMs (and otheremerging architectures), embeddings, and agentic frameworks (e.g., OpenAI Agent SDK, AutoGPT, LangChain, CrewAI). Develop and refine AgenticAI systems focusingon planning, memory,tool utilization, and dynamic task critic execution. Engineer and optimize prompt engineering pipelines to achieve superioraccuracy and low latency across diverse applications. Fine-tune and deploy specialized LLMs and AI copilots to transform engineering and business operations. Collaborate with cross-functional teams to deliverproduction-grade solutions that create tangible value. Stay ahead of the curve by integrating emergingGenAI research and state-of-the-art capabilities into practical, real-world systems. Lead projects and mentor juniorengineers, contributing to a cultureof innovation and growth Required Qualifications: \ Experience: 3-8 years of hands-on ML/AI/Deep Learning experience, with a strong portfolio of real world application development. Technical Proficiency: Advanced Python skills and extensive experience with leading AI tools and libraries (OpenAI, Hugging Face, LangChain, PyTorch, TensorFlow). C ore Knowledge: Deep understanding of Large Language Models (LLMs), embeddings, Retrieval Augmented Generation (RAG), and vector databases (e.g., FAISS, Weaviate). Prompt Engineering Mastery: Proven expertise in designing and implementing effective, reusable prompts for complex reasoning, classification, generation, and tool integration tasks across a wide variety of models including open-source solutions. Agentic AI Acumen: Prior experience with autonomous AI agents or multi-agent orchestration is a significant advantage. Mindset: A startup-ready attitude - agile, intellectually curious, and hands-on, thriving in fast paced, iterative environments
Position Overview We are seeking an experienced Python Developer with strong expertise in backend development, ETL processes, and full-stack integration. The ideal candidate will have hands-on experience with Django, Flask, FastAPI, and modern cloud-based architectures on AWS. This role involves developing scalable web applications, managing complex data workflows, and contributing to full software lifecycle management. Key Responsibilities Design, develop, test, and deploy scalable applications using Python and Django/Flask frameworks. Build and maintain RESTful APIs and integrate with frontend technologies (React.js, Vue.js, AngularJS). Develop ETL pipelines for data extraction, transformation, and loading into relational databases. Work with AWS services such as Lambda, S3, EC2, API Gateway, RDS, and DynamoDB. Collaborate with cross-functional teams in Agile/Scrum environments to deliver robust software solutions. Implement data-driven systems, logging, and automation processes for operational efficiency. Apply machine learning/data analytics techniques for data mining and business intelligence insights. Conduct unit testing and debugging using Pytest and DjangoTest frameworks. Maintain code repositories using Git and manage deployments through CI/CD pipelines (Jenkins, Kubernetes). Provide technical documentation, participate in code reviews, and mentor junior developers. Required Skills and Experience 5+ years of hands-on experience in Python development. Strong understanding of Object-Oriented Programming (OOP) and software design patterns. Proficiency in SQL and database management (MySQL, Oracle, MongoDB). Expertise with web scraping tools (BeautifulSoup, Scrapy). Familiarity with data science libraries such as Pandas, NumPy, and PySpark. Experience with DevOps practices, including CI/CD and cloud deployments. Knowledge of GraphQL and REST API integrations. Excellent problem-solving skills and the ability to work in dynamic environments.
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