Full Stack Engineer – AI & Cloud

About the job
ClearRoute is an engineering consultancy bridging Quality Engineering, Cloud Platforms, and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges.

We take as much pride in our people, culture, and work-life balance as we do in making better software. We’re not just making better software. We’re making the making of software better. Collaborative, entrepreneurial, and dedicated to problem-solving, we bring the step change our customers need to sustain innovation.

Role:
Design, build, and maintain reliable, testable, production-quality software. Develop APIs, services, and automation that support engineering and business workflows. Contribute to cloud-native applications and reusable platform capabilities. Build integrations across applications, APIs, developer tooling, and external services. Develop and maintain automated delivery through CI/CD. Contribute to AI-enabled solutions including LLM integrations, RAG, and agentic workflows where relevant. Apply good engineering practices across testing, observability, security, reliability, and maintainability. Participate in technical design and problem-solving.

Required Experience:
Mandatory 3–6 years of experience with strong software engineering fundamentals and the ability to write clean, maintainable, and testable code. Requires you to work from Pune or Bengalore in a hybrid setup. Hands-on experience with React or Vue.js and modern frontend development practices. Strong experience with Python or another modern programming language, with Python particularly relevant. Experience building backend services, APIs, applications, or automation. Hands-on experience with LLM-powered applications, AI integrations, RAG, or agentic workflows. Understanding of AI application development and integration patterns. Good understanding of software design principles, testing, and production engineering practices. Experience with Git and modern software delivery practices. Exposure to CI/CD and automated deployment. Understanding of cloud-native application and infrastructure concepts. Experience with cloud platforms (AWS preferred; Azure/GCP also considered). Strong problem-solving skills and ability to work through technical ambiguity within an engineering team. Genuine interest in AI, platform engineering, and modern developer tooling.

Desirable Experience:
Experience with MCP or other tool-serving and integration patterns. Exposure to LangChain, LlamaIndex, or equivalent AI development frameworks. Experience with Azure OpenAI, Google Vertex AI, or comparable AI services. Experience with Kubernetes or Terraform. Building developer platforms, internal tooling, or self-service engineering capabilities. Experience with GitHub or GitLab APIs and workflow automation.