Design, develop, and maintain complex software systems. Effectively triaging bugs, code/data fixes, testing & patching processes. Work with Product Owners, Scrum Masters and Business Analysts on the vision, design, requirements, and delivery of applications. Promote and adhere to development standards through automation tooling and manual controls incl. JIRA, agile standards, code reviews and release automation. Provide technical guidance application operations to junior engineers and review their work. Contribute to system architecture and design discussions. Code preparation including testing and documentation. Work closely with stakeholders/product owner/scrum master to understand and implement technical requirements.
Design, develop, and maintain complex software systems. Ensure effective operation of application through Level 3 support of application incidents, effectively triaging bugs, code/data fixes, testing & patching processes. Work with Product Owners, Scrum Masters and Business Analysts on the vision, design, requirements, and delivery of applications. Promote and adhere to development standards through automation tooling and manual controls incl. JIRA, agile standards, code reviews and release automation. Provide technical guidance application operations to junior engineers and review their work. Contribute to system architecture and design discussions. Code preparation including testing and documentation. Work closely with stakeholders/product owner/scrum master to understand and implement technical requirements
Looking for MERN stack developer (2–8 yrs) in Pune with expertise in Nodejs, Expressjs, React, Nextjs, MongoDB, REST APIs, unit testing (Mocha/Chai), and strong knowledge of SEO-friendly apps, Server Actions, API routes, and web vitals.
Role & responsibilities Design, develop, and maintain end-to-end web applications using Java and modern JavaScript frameworks. Build and integrate RESTful APIs and ensure seamless communication between backend and frontend systems. Write clean, scalable, and maintainable code following industry best practices. Work closely with product, design, and QA teams to deliver high-quality software solutions. Participate in code reviews and contribute to continuous improvement. Troubleshoot and debug applications to ensure optimal performance and reliability. Preferred candidate profile Bachelors degree in Computer Science, Engineering, or related field. 2–5 years of hands-on experience as a Full Stack Developer. Strong proficiency in Java, Spring Boot, and RESTful web services. Excellent knowledge of JavaScript, HTML5, CSS3, and at least one modern front-end framework such as React.js, Angular, or Vue.js. Experience with SQL / NoSQL databases (MySQL, PostgreSQL, or MongoDB). Familiarity with Git and version control workflows. Solid understanding of OOP principles, data structures, and design patterns. Good problem-solving and debugging skills.
Role & responsibilities Design, craft, and optimize effective prompts for Generative AI models to achieve desired outputs. Collaborate with data scientists and developers to integrate AI-generated responses into applications. Evaluate model outputs for accuracy, coherence, and performance. Experiment with different prompt structures to improve model response quality. Maintain detailed documentation of prompt templates, use cases, and results. Stay updated on the latest trends and advancements in GenAI, LLMs, and prompt engineering. Preferred candidate profile 1-4 years of experience in AI, NLP, or software development roles. Proven experience in prompt writing for large language models (LLMs) like GPT, Claude, Gemini, or similar. Strong analytical and logical thinking abilities. Proficiency in Java or another programming language is preferred. Understanding of GenAI concepts such as context windows, temperature tuning, and model behavior. Excellent communication and documentation skills.
About the Role We are looking for an Agentic QA Engineer with 1 - 5 years of experience to test and validate AI agents and automation workflows. The ideal candidate should understand GenAI-based agents, testing methodologies, and quality assurance processes to ensure AI agents perform as expected. Key Responsibilities Test and validate AI agents to ensure they perform actions accurately and as designed. Develop and execute test cases for different conversational and task-based AI workflows. Analyze test results, identify bugs or performance issues, and collaborate with the engineering team for fixes. Document testing procedures, outcomes, and recommendations for improvement. Ensure that AI agents handle prompts, contexts, and actions correctly. Contribute to the creation of automated QA processes for AI systems. Required Skills & Qualifications 1 - 5 years of experience in QA, software testing, or AI testing roles. Good understanding of Generative AI , LLM agents , or autonomous AI workflows . Understanding of DeepEval and other AI testing frameworks. Experience with manual testing and familiarity with automation tools . Strong problem-solving, analytical, and communication skills. Ability to work collaboratively with developers, prompt engineers, and data scientists. Good to Have Exposure to LLM frameworks (LangChain, CrewAI, AutoGen, etc.) . Basic programming or scripting knowledge (Java or Python preferred). Understanding of AI evaluation metrics and model performance tuning . Role & responsibilities
What Youll Do Build full-stack features owning both frontend and backend components. Develop frontend modules using React, vite, bun, chakra-ui, react-query, and react-table. Implement backend logic, APIs, and data models using Python, fastapi, pydantic, and sqlmodel. Design clean API contracts between frontend and backend components with a focus on performance and clarity. Build robust data flows across multi-architecture compute workflows, including job management, orchestration views, and resource interactions. Collaborate with SRE, runtime, and platform teams to ensure backend services integrate smoothly Troubleshoot issues across the full stack from UI inconsistencies to backend failures. Participate in architectural and design discussions for both client and server components. Ensure production readiness, reliability, and scalability of features. What Youll Need to Be Successful Strong hands-on development experience with React + Python (true React-Python fullstack capability). Experience with fastapi, pydantic, sqlmodel, and modern async backend development. Deep understanding of vite, bun, and frontend build/performance optimization. Ability to manage frontend async workflows using react-query and complex data tables using react-table. Strong API design skills and comfort working across schemas, data models, and serialization layers. Experience building modular services and UI-driven systems with high data throughput. Ability to operate independently in a high-speed environment and take full ownership of features. Strong communication and cross-functional collaboration skills. Nice to Have Experience working with cloud APIs, compute runtimes, schedulers, or developer tooling. Knowledge of SRE concepts (Kubernetes, CI/CD, observability). Familiarity with licensing workflows or enterprise cloud marketplaces.
What You'll Do Develop high-performance React applications using vite, bun, and chakra-ui, ensuring fast load times and smooth user experience. Implement data-heavy UI components using tanstack/react-query (async data management) and tanstack/react-table (complex table rendering and data grids). Integrate frontend components cleanly with backend APIs built on fastapi, pydantic, and sqlmodel. Translate compute workflows, infrastructure actions, and job states into intuitive UI interactions. Build reusable components and internal design patterns that scale across multiple teams and product modules. Work closely with the Backend and FullStack teams to ensure correct interpretation of API contracts, models, and data shapes. Participate in product planning and architecture discussions to shape how users consume multi-architecture compute resources. Debug, profile, and optimize rendering behaviour for large datasets and dynamic workloads. Enhance frontend testing, CI integrations, and deployment readiness. What Youll Need to Be Successful Strong experience in React, with hands-on usage of vite and bun. Deep understanding of chakra-ui and modern component-driven development. Practical expertise with tanstack/react-query and react-table in real-world applications. Ability to read backend schemas (pydantic/sqlmodel) and work effectively with API-driven UIs. Experience with dashboards, configurable UIs, devtools, or data-heavy applications. Comfort working in a startup environment high autonomy, evolving priorities, and deep ownership. Strong communication skills to collaborate with backend, SRE, and runtime engineering teams.
What you'll do: Design, implement, and maintain CI/CD pipelines to support the efficient delivery and deployment of our Beta product, ensuring seamless customer experience. Develop and manage infrastructure-as-code (IaC) using tools like Terraform, enabling scalable and repeatable infrastructure that supports our PaaS goals. Implement and manage containerization and orchestration tools (e.g., Docker, Kubernetes) to ensure scalable deployment across various architectures. Monitor and optimize system performance, proactively identifying and resolving bottlenecks to maintain reliability and efficiency during Beta testing and beyond. Ensure system reliability and availability by implementing best practices in monitoring, alerting, and incident response, particularly as we scale our Beta product. Troubleshoot and resolve infrastructure issues promptly to minimize downtime and maintain customer trust. Collaborate with security teams to ensure infrastructure meets security best practices and compliance requirements, especially in a multi-architecture environment. Automate routine tasks to improve efficiency and reduce manual intervention, focusing on maintaining the flexibility and reliability of our PaaS offerings. What you'll need: Bachelor's or higher degree in Computer Science, Software Engineering, or a related field. Proven experience as a DevOps or SRE Engineer, with a strong focus on automation, scalability, and reliability within PaaS environments. Familiarity with cloud-native technologies including container runtimes such as Docker and cluster schedulers such Kubernetes is a must Strong proficiency in scripting languages (e.g.,Python, Bash) and familiarity with programming languages such as Go or Rust. Experience with cloud platforms (AWS, Azure, GCP) and infrastructure services, especially in supporting PaaS solutions. Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes) with experience in managing multi-architecture deployments. Hands-on experience with infrastructure as code (IaC) tools like Terraform, supporting scalable and reliable infrastructure. Strong understanding of CI/CD pipelines and automated testing methodologies. Excellent problem-solving and troubleshooting skills, especially in the context of Beta testing and production environments. Excellent collaboration and communication skills to work effectively with cross-functional teams. Note: Familiarity with AI model training is a significant advantage!
Position Overview : We are looking for a Senior Engineer/Architect to define, develop, and maintain both internal and external APIs for our modular product. Your work will enable independent module development, streamlined verification, and customer workflows that remain stable as the product evolves. Responsibilities: * Own the end-to-end API strategy: design, standards, governance, versioning, lifecycle. * Define and maintain stable, customer-facing APIs that support long-term workflows. * Build internal APIs connecting modules, enabling parallel dev across teams. * Partner with product, QA, and DevOps to enforce API quality, security, and verification. * Establish best practices: API style guides, OpenAPI specs, contract testing. * Introduce tooling for API documentation, monitoring, backward-compat checks. * Mentor engineers, review designs, and scale API development across the org. Requirements: * 6+ years backend engineering; 3+ years API design/architecture ownership. * Strong in RESTful design (GraphQL/gRPC a plus). * Experience with API gateways, CI/CD integration, observability. * Deep knowledge of API security (OAuth2, JWT). * Hands-on coding in Go/Java/Python. * Track record of designing APIs used by multiple teams or customers. * Strong communicator and system-level thinker.
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