Role Description - Entwicklung und Implementierung von benutzerfreundlichen Frontend-Komponenten unter Verwendung von Vue.js. - Entwerfen und Entwickeln von skalierbaren Backend-Lösungen mit Python. - Zusammenarbeit mit UX-Designern zur Optimierung der Benutzererfahrung und Verbesserung der Nutzeroberflächen. - Pflege und Optimierung bestehender Applikationen zur Steigerung der Leistung und Effizienz. - Durchführung von Code-Reviews und Sicherstellung von qualitativ hochwertigem Code durch Best Practices. Qualifications - Abgeschlossenes Studium der Informatik oder eine vergleichbare Qualifikation. - Mehrjährige Berufserfahrung in der Entwicklung von Webanwendungen mit Python und Vue.js. - Erfahrung in der Gestaltung von benutzerfreundlichen UX/UI-Designs. - Fundierte Kenntnisse in modernen Web-Technologien und Frameworks. - Selbstständige Arbeitsweise und Fähigkeit, remote im Team zu arbeiten. Requirements - Erfahrung mit FastAPI, Playwright und pytest. - Datenbankkenntnisse: PostgreSQL. - LDAP-Know-how.

Role Description We're looking for a Senior Software Engineer who has already crossed that line. Someone for whom AI tools are a first-class part of daily engineering practice, and who brings the same instinct to designing, leading, and shipping AI-powered systems for our clients. Concretely, you will: - Lead the design and implementation of multi-step agentic pipelines, LLM-based applications, and AI-powered workflows, taking end-to-end responsibility from architecture through to production. - Define and own evaluation frameworks and feedback loops for AI systems in production: prompt regression suites, output quality monitoring, and continuous improvement cycles. - Make architectural decisions on AI system design (model selection, orchestration strategy, retrieval approach, latency and cost trade-offs) and explain the reasoning clearly to engineering and product stakeholders. - Identify high-impact AI opportunities in complex client environments, translate them into actionable technical proposals, and lead their execution. - Integrate modern AI capabilities (agentic orchestration, structured generation, tool use, model routing) into existing architectures with a clear eye on reliability and maintainability. - Set the bar for engineering practice on the team: code quality, observability, evaluation rigour, and responsible AI deployment. - Use AI coding tools (Claude Code, Cursor, Copilot, or similar) as a primary part of your development workflow, not an occasional aid, and help the team level up in how they work. - Stay at the frontier of the AI tooling ecosystem and bring informed opinions on what's worth adopting into practice. Qualifications - 5+ years of experience building production software systems, with at least 2 years working on AI or ML-driven features in production. - Deep understanding of modern AI concepts: LLMs, embeddings, retrieval systems, agentic design patterns, evaluation frameworks, and observability for AI systems. - Strong engineering fundamentals (Python and/or TypeScript/Node.js) and a track record of building reliable, scalable backend services. - Demonstrated ability to lead technical decisions (architecture, trade-offs, technology selection) and communicate them clearly across engineering and product. - Experience designing and owning systems under real-world constraints: performance, cost, reliability, and long-term maintainability. - Ability to take ambiguous, open-ended problems and drive them to well-scoped, shippable solutions with minimal direction. - High agency: you operate autonomously, make decisions, and flag clearly when you need input. - Defaults to asking "can an agent or model handle this?" before reaching for a traditional approach, and knows when the answer is no. - Pragmatic over perfectionist: you know when "good enough in production" beats "perfect in theory," and when it doesn't. - Low ego, high standards: you hold the bar without holding the room hostage. Requirements - Has shipped real products using AI-assisted coding workflows and can speak concretely to what changed in their engineering process. - Has designed and operated LLM evaluation harnesses, red-teaming pipelines, or output regression frameworks at scale. - Active user of (or contributor to) the emerging AI tooling ecosystem: MCP, agent protocols, model routers, LLMOps tooling. - Experience with the full prompt engineering lifecycle in production: versioning, A/B testing outputs, and monitoring for drift. - Has rebuilt an internal workflow or tool they previously did manually by replacing it with an agentic system, and can describe what they learned. - Comfortable reading frontier AI research and forming opinions on what's worth adopting versus what's hype. - Experience mentoring or technically guiding other engineers on AI system design. Benefits - Access to frontier AI as part of your daily work: latest models and tooling available without an approval gauntlet. - A team that already works this way. You won't be the only one rethinking how engineering gets done. - Agile Company Culture and the Best Team. - Global Projects & Opportunities. - Social Events & Team Building. - Continuous Development: Training & Development, Growth Opportunities. - Flexible Working: Remote Friendly Culture. - Great Equipment & Tools. - Flexible Benefits. - Extra Days Off. - Health Insurance. Hiring Process Our process is direct and designed to respect your time: - PX interview - Technical interview - Final conversation - Offer * The technical interview focuses on real problems, not algorithmic puzzles. We evaluate candidates holistically. If you don't meet every requirement listed above, apply anyway. We care more about how you think and work than whether your CV matches a checklist. See you on the other side!

About Evernorth: Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. Software Engineering Associate Advisor The AI CoE team is seeking Gen AI Fullstack Software Engineers to work on the AI ecosystem. The GenAI Fullstack Engineer will be responsible for designing, implementing, and deploying scalable and efficient AI solutions with a focus on privacy, security, and fairness. Key components include Angular and React JS based user interfaces, a robust set of Application Programming Interfaces (APIs) enabling a wide range of platform integration capabilities, a flexible Machine Learning (ML) and document processing pipeline. This role will work directly with business partners and other IT team members to understand desired system requirements and to deliver effective solutions within the Agile methodology and participate in all phases of the development and system support life cycle. Primary responsibilities are to build an AI Platform(s) leveraging the LLM’s and other Gen AI Capabilities and provide design solution for portal integrations, enhancement, and automation requests. The ideal candidate is a technologist that brings a fresh perspective and passion to solve complex functional and technical challenges in a fast-paced and team-oriented environment. Job Responsibilities: • Full stack development including triage, design, coding and implementation. • Build enterprise grade AI solutions with focus on privacy, security, fairness. • Perform code reviews with scrum teams to approve for Production deployment. • Conduct research to identify new solutions and methods to fulfill diverse and evolving business needs • Establish/Improve/Maintain Proactive monitoring and management of supported assets assuring performance, availability, security, and capacity • Maintains a strong and collaborative relationship with delivery partners and business stakeholders. Required Experience / Qualifications: • This position requires a highly technical, hands-on, motivated and collaborative individual with exceptional communication skills, proven experience working with diverse teams of technical architects, business users and IT areas on all phases of the software development life-cycle • 10+ years of total experience. • 7+ years of experience in Fullstack development (Frontend, Backend and Cloud) • 3+ years experience in DevOps. • 2+ year in developing Gen AI Solutions and its integration with other systems. Detailed list of Skillset required – • ### Front-End Development Skills • 1. HTML/CSS/JavaScript: Proficiency in the core technologies for building web interfaces. • 2. Front-End Frameworks: Knowledge of frameworks like React, Angular, or Vue.js for creating interactive and responsive user interfaces. • 3. UI/UX Design: Basic understanding of user experience and user interface design principles. • • ### Back-End Development Skills • 1. Server-Side Languages: Proficiency in server-side languages such as Python, Node.js. • 2. APIs: Experience in building and consuming RESTful, Flask / Fast API / and GraphQL APIs. • 3. Database Management: Knowledge of SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, etc. • • ### DevOps and Cloud Skills • 1. Containerization and Orchestration: Experience with Docker and Kubernetes / OpenShift for containerization and orchestration of applications. • 2. CI/CD Pipelines: Knowledge of continuous integration and continuous deployment tools and practices using GitHub Actions • 3. Security Best Practices: understanding of security principles and best practices for protecting data and systems, including IAM, encryption and network Security. • 4. Cloud Services: Familiarity with cloud platforms like AWS or Azure for deploying and managing applications and AI models. • • ### AI and Machine Learning Skills • 1. Foundations in Machine Learning and Deep Learning: Understanding algorithms, neural networks, supervised and unsupervised learning, and deep learning frameworks like TensorFlow, PyTorch, and Keras. • 2. Generative Models: Knowledge of generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers. • 3. Natural Language Processing (NLP): Knowledge in NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face Transformers) for text generation tasks. • 4. Model Deployment: Experience with deploying models using services like TensorFlow Serving, TorchServe, or cloud-based solutions (e.g., AWS SageMaker, Google AI Platform). • 5. Understanding of implementing Prompt Engineering, Finetuning and RAG. • • ### Additional Skills • 1. Version Control: Proficiency with Git and version control workflows. • 2. Software Development Practices: Understanding of agile methodologies, testing, and code review practices. Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field. Location & Hours of Work: Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required. Equal Opportunity Statement: Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Join us as a Senior Software Engineer - This is an opportunity for a technically minded individual to join us as a Senior Software Engineer - You'll be building and maintaining the services we provide to engineering squads - With no product owner or tech lead aligned to this squad, you'll have increased responsibility and autonomy. What you'll do You'll engage directly with stakeholders, prioritise based on impact, and deal with ambiguity. We use kanban so we can flexibly adapt. If a product squad is blocked, we want to be able to drop what we're doing and help them immediately. You’ll also be: - You'll be working on things like CI/CD pipelines, Golden Paths and AI productivity tooling. Right now, our biggest focus is enabling and supporting AI adoption across the business. - Collaborating with other squads to help them with their problems - On a rota for in-hours support, ensuring that we're there for engineers across the business when they're stuck. Whether that's a broken pipeline, a deployment issue, or something they've never seen before. It's varied, often urgent, and requires strong debugging skills and patience The skills you'll need We’re looking for someone who can make sound technical decisions and know when to push for quality and when to be pragmatic. You don't wait to be told what to work on - you actively look for ways to improve how squads deliver software, take ownership from problem through to outcome, and can mentor and challenge other engineers through collaboration rather than hierarchy. Additionally, you’ll demonstrate: - Experience of being highly collaborative - You enjoy solving problems with other people. Pairing, mobbing, and working through ideas together is how you prefer to work, not a compromise - Comfortability with ambiguity - You'll regularly pick up half-formed problems, figure out what's actually needed, engage with stakeholders, and shape the solution yourself - Being Technically Flexible - We work across infrastructure, platform tooling, CI/CD, and multiple languages including Java, Go, Python, and JavaScript. You don't need to be an expert in all of them, but you're genuinely comfortable picking up unfamiliar tools and technologies - A focus on the customer - You take pride in helping other engineers. Supporting squads through in-hours support is a core part of the role, and you see it as valuable work, not a chore - Excitement about AI - We're leading the adoption of AI tooling across the business, including agentic AI and developer productivity tools. It's our biggest priority this year. You don't need to be an AI expert, but you should be genuinely excited about how AI can change the way engineers work, and eager to experiment Hours 35 Job Posting Closing Date: 30/04/2026 Ways of Working:Remote First