AI-Native Software Engineer Role We are hiring an AI-native software engineer who treats large language models, copilots, and agentic workflows as core parts of their development environment, not optional add-ons. You will design, build, and refactor production systems in .NET/C#, while using the latest AI tooling to dramatically increase speed, quality, and leverage. You are not just a developer. You are an architect, systems thinker, and automation builder. What “AI-Native” Means Here This is not just “comfortable with GitHub Copilot/Claude Code/Codex.” You: - Use AI daily to generate, refactor, test, document, and review code. - Build internal AI agents and workflows to automate repetitive engineering tasks. - Design systems assuming AI components will exist in the architecture. - Know when AI is wrong - and can spot hallucinations instantly. - Continuously experiment with new tools and replace old workflows aggressively. Responsibilities 1. Architect and Build Scalable Systems - Design and implement high-quality backend systems in .NET and C#. - Build modular, testable, maintainable architectures. - Make sound trade-offs between performance, maintainability, and speed of delivery. - Refactor legacy systems intelligently (not cosmetically). 2. Leverage AI Across the SDLC - Use LLMs and code-generation tools to: o Draft and refactor production code o Generate unit/integration tests o Create migration scripts o Perform static analysis and code reviews o Produce technical documentation - Build internal AI assistants for: o Log analysis o Support ticket triage o Codebase navigation o Technical debt discovery - Continuously optimize development workflows using AI. 3. Own Architecture Decisions - Design APIs (REST, event-driven, microservices where appropriate). - Work with cloud-native patterns (Azure preferred). - Integrate AI services into production systems. - Evaluate when to build vs. buy vs. automate. 4. Raise the Bar - Set standards for AI-assisted development. - Mentor other engineers in AI-native workflows. - Push for measurable productivity gains. - Eliminate manual processes wherever possible. Technical Requirements Core Stack Strong experience with: - .NET - C# - ASP.NET Core / .NET Web APIs Solid understanding of: - Entity Framework / ORM patterns - SQL and database design - Clean architecture principles - Dependency injection - Testing frameworks (xUnit, NUnit, etc.) Cloud & DevOps - Azure experience preferred - CI/CD pipelines - Infrastructure as Code familiarity - Observability (logging, tracing, monitoring) AI & Automation Hands-on experience with: - LLM APIs - Code copilots and AI IDE tooling - Prompt engineering for engineering workflows Experience building: - AI-assisted tools - Internal bots or automation agents Understanding of: - Model limitations - Cost-performance trade-offs - Guardrails and reliability What We're Looking For 1. Technical Depth You can: - Read a 200k+ LOC codebase and map it quickly - Identify architectural rot fast - Make systems simpler, not more complex 2. Speed with Judgment You move fast but you don't create messes others have to clean up. 3. AI Skeptic + Optimist You: - Aggressively use AI - But never blindly trust it - Know how to validate outputs - Treat AI as a junior developer that needs supervision 4. Builder Mentality You don't wait for perfect specs. You prototype, validate, iterate. Nice to Have - Experience modernizing legacy .NET Framework systems - Experience integrating AI into enterprise workflows - Background in regulated or compliance-heavy industries - Frontend experience (React/Blazor) a plus but not mandatory How We Measure Success Within 6–12 months, you will: - Increase engineering throughput measurably using AI-assisted workflows - Reduce technical debt through intelligent refactoring - Ship production-grade AI-enhanced features - Help build an engineering culture where AI is standard, not experimental - Deliver more output per engineer without compromising system integrity About the Team Anju Software delivers end-to-end solutions for the life sciences industry, supporting clinical trials, medical affairs, and scientific data management with precision, compliance, and operational rigor. Our products help pharmaceutical, biotech, and medical device companies bring therapies to market faster and more efficiently. Anju is part of Valsoft Corporation, a global acquirer and operator of vertical market software businesses. Valsoft invests with a long-term mindset, empowering each company to operate autonomously while benefiting from shared capital and operational expertise. We are entering a new phase of growth focused on embedding AI deeply into our systems and workflows. We are excited to add talent who will help lead our transformation into a truly agentic, automation-driven organization that redefines how work gets done in life sciences.

AI-Native Software Engineer Role We are hiring an AI-native software engineer who treats large language models, copilots, and agentic workflows as core parts of their development environment, not optional add-ons. You will design, build, and refactor production systems in .NET/C#, while using the latest AI tooling to dramatically increase speed, quality, and leverage. You are not just a developer. You are an architect, systems thinker, and automation builder. What “AI-Native” Means Here This is not just “comfortable with GitHub Copilot/Claude Code/Codex.” You: - Use AI daily to generate, refactor, test, document, and review code. - Build internal AI agents and workflows to automate repetitive engineering tasks. - Design systems assuming AI components will exist in the architecture. - Know when AI is wrong - and can spot hallucinations instantly. - Continuously experiment with new tools and replace old workflows aggressively. Responsibilities 1. Architect and Build Scalable Systems - Design and implement high-quality backend systems in .NET and C#. - Build modular, testable, maintainable architectures. - Make sound trade-offs between performance, maintainability, and speed of delivery. - Refactor legacy systems intelligently (not cosmetically). 2. Leverage AI Across the SDLC - Use LLMs and code-generation tools to: o Draft and refactor production code o Generate unit/integration tests o Create migration scripts o Perform static analysis and code reviews o Produce technical documentation - Build internal AI assistants for: o Log analysis o Support ticket triage o Codebase navigation o Technical debt discovery - Continuously optimize development workflows using AI. 3. Own Architecture Decisions - Design APIs (REST, event-driven, microservices where appropriate). - Work with cloud-native patterns (Azure preferred). - Integrate AI services into production systems. - Evaluate when to build vs. buy vs. automate. 4. Raise the Bar - Set standards for AI-assisted development. - Mentor other engineers in AI-native workflows. - Push for measurable productivity gains. - Eliminate manual processes wherever possible. Technical Requirements Core Stack Strong experience with: - .NET - C# - ASP.NET Core / .NET Web APIs Solid understanding of: - Entity Framework / ORM patterns - SQL and database design - Clean architecture principles - Dependency injection - Testing frameworks (xUnit, NUnit, etc.) Cloud & DevOps - Azure experience preferred - CI/CD pipelines - Infrastructure as Code familiarity - Observability (logging, tracing, monitoring) AI & Automation Hands-on experience with: - LLM APIs - Code copilots and AI IDE tooling - Prompt engineering for engineering workflows Experience building: - AI-assisted tools - Internal bots or automation agents Understanding of: - Model limitations - Cost-performance trade-offs - Guardrails and reliability What We're Looking For 1. Technical Depth You can: - Read a 200k+ LOC codebase and map it quickly - Identify architectural rot fast - Make systems simpler, not more complex 2. Speed with Judgment You move fast but you don't create messes others have to clean up. 3. AI Skeptic + Optimist You: - Aggressively use AI - But never blindly trust it - Know how to validate outputs - Treat AI as a junior developer that needs supervision 4. Builder Mentality You don't wait for perfect specs. You prototype, validate, iterate. Nice to Have - Experience modernizing legacy .NET Framework systems - Experience integrating AI into enterprise workflows - Background in regulated or compliance-heavy industries - Frontend experience (React/Blazor) a plus but not mandatory How We Measure Success Within 6–12 months, you will: - Increase engineering throughput measurably using AI-assisted workflows - Reduce technical debt through intelligent refactoring - Ship production-grade AI-enhanced features - Help build an engineering culture where AI is standard, not experimental - Deliver more output per engineer without compromising system integrity About the Team Anju Software delivers end-to-end solutions for the life sciences industry, supporting clinical trials, medical affairs, and scientific data management with precision, compliance, and operational rigor. Our products help pharmaceutical, biotech, and medical device companies bring therapies to market faster and more efficiently. Anju is part of Valsoft Corporation, a global acquirer and operator of vertical market software businesses. Valsoft invests with a long-term mindset, empowering each company to operate autonomously while benefiting from shared capital and operational expertise. We are entering a new phase of growth focused on embedding AI deeply into our systems and workflows. We are excited to add talent who will help lead our transformation into a truly agentic, automation-driven organization that redefines how work gets done in life sciences.

Role Description We are hiring an AI-native software engineer who treats large language models, copilots, and agentic workflows as core parts of their development environment, not optional add-ons. You will design, build, and refactor production systems in .NET/C#, while using the latest AI tooling to dramatically increase speed, quality, and leverage. You are not just a developer. You are an architect, systems thinker, and automation builder. What “AI-Native” Means Here - Use AI daily to generate, refactor, test, document, and review code. - Build internal AI agents and workflows to automate repetitive engineering tasks. - Design systems assuming AI components will exist in the architecture. - Know when AI is wrong - and can spot hallucinations instantly. - Continuously experiment with new tools and replace old workflows aggressively. Responsibilities - Architect and Build Scalable Systems - Design and implement high-quality backend systems in .NET and C#. - Build modular, testable, maintainable architectures. - Make sound trade-offs between performance, maintainability, and speed of delivery. - Refactor legacy systems intelligently (not cosmetically). - Leverage AI Across the SDLC - Use LLMs and code-generation tools to: - Draft and refactor production code - Generate unit/integration tests - Create migration scripts - Perform static analysis and code reviews - Produce technical documentation - Build internal AI assistants for: - Log analysis - Support ticket triage - Codebase navigation - Technical debt discovery - Continuously optimize development workflows using AI. - Own Architecture Decisions - Design APIs (REST, event-driven, microservices where appropriate). - Work with cloud-native patterns (Azure preferred). - Integrate AI services into production systems. - Evaluate when to build vs. buy vs. automate. - Raise the Bar - Set standards for AI-assisted development. - Mentor other engineers in AI-native workflows. - Push for measurable productivity gains. - Eliminate manual processes wherever possible. Technical Requirements - Core Stack - Strong experience with: - .NET - C# - ASP.NET Core / .NET Web APIs - Solid understanding of: - Entity Framework / ORM patterns - SQL and database design - Clean architecture principles - Dependency injection - Testing frameworks (xUnit, NUnit, etc.) - Cloud & DevOps - Azure experience preferred - CI/CD pipelines - Infrastructure as Code familiarity - Observability (logging, tracing, monitoring) - AI & Automation - Hands-on experience with: - LLM APIs - Code copilots and AI IDE tooling - Prompt engineering for engineering workflows - Experience building: - AI-assisted tools - Internal bots or automation agents - Understanding of: - Model limitations - Cost-performance trade-offs - Guardrails and reliability What We're Looking For - Technical Depth - You can read a 200k+ LOC codebase and map it quickly. - Identify architectural rot fast. - Make systems simpler, not more complex. - Speed with Judgment - You move fast but you don't create messes others have to clean up. - AI Skeptic + Optimist - You aggressively use AI but never blindly trust it. - Know how to validate outputs. - Treat AI as a junior developer that needs supervision. - Builder Mentality - You don't wait for perfect specs. You prototype, validate, iterate. Nice to Have - Experience modernizing legacy .NET Framework systems. - Experience integrating AI into enterprise workflows. - Background in regulated or compliance-heavy industries. - Frontend experience (React/Blazor) a plus but not mandatory. How We Measure Success - Within 6–12 months, you will: - Increase engineering throughput measurably using AI-assisted workflows. - Reduce technical debt through intelligent refactoring. - Ship production-grade AI-enhanced features. - Help build an engineering culture where AI is standard, not experimental. - Deliver more output per engineer without compromising system integrity. Company Description Anju Software delivers end-to-end solutions for the life sciences industry, supporting clinical trials, medical affairs, and scientific data management with precision, compliance, and operational rigor. Our products help pharmaceutical, biotech, and medical device companies bring therapies to market faster and more efficiently. Anju is part of Valsoft Corporation, a global acquirer and operator of vertical market software businesses. Valsoft invests with a long-term mindset, empowering each company to operate autonomously while benefiting from shared capital and operational expertise. We are entering a new phase of growth focused on embedding AI deeply into our systems and workflows. We are excited to add talent who will help lead our transformation into a truly agentic, automation-driven organization that redefines how work gets done in life sciences.

• Advise clients on technical solutions and strategies. • Guide developers and/or take on project coordination for smaller development projects. • Design architectures and plan implementation approaches. • Develop modern, dynamic web applications, for example based on CoreMedia CMS or Magnolia CMS, or web applications incorporating AI technologies. • Implement backend logic using Java and Spring. • Implement frontends with React and Next.js. • Integrate backend services using REST / GraphQL. • Perform code reviews and quality assurance. • Apply agile processes and methodologies. • Provide guidance and facilitate knowledge transfer to colleagues.