Jobs at Observe.AI
Must have skills
Good to have skills
About this Opportunity
Observe.AI is the enterprise-grade Customer Experience AI platform that unifies conversations, intelligence, and action to turn contact centers into performance engines. Built to optimize the full lifecycle of human and AI agents, Observe.AI enables enterprises to automate customer interactions, augment agent performance, and deliver governed AI at scale.
On a single platform, Observe.AI combines Voice and Chat AI Agents, real-time AI Copilots, and Conversation Intelligence with 100% interaction coverage for quality, compliance, and performance management. Trusted by brands like DoorDash, Affordable Care, Signify Health, and Verida, Observe.AI delivers fast time-to-value, measurable ROI, and consistent, high-quality customer experiences across every channel.
Join Observe.AI and build the backend that powers AI agents transforming customer service for global enterprises. You’ll work on complex, high-scale systems where your code has a direct and visible impact. With a culture that prizes speed, innovation, and ownership, this is your chance to sharpen your skills and shape the future of AI-powered experiences.
You’ll work closely with product, design, and engineering leaders to ensure we’re solving the right problems the right way. If you want an opportunity where your ideas matter, your code ships fast, and your growth is fueled by meaningful challenges alongside supportive peers, this is the place for you.
Collaborate with the team to define, implement, and take ownership of the technical stack,
Participate in the entire product lifecycle with a strong emphasis on clean, efficient coding and effective debugging.
Integrate user-facing elements with server-side logic, working closely with front-end developers to deliver seamless and performant applications.
Design and build reusable code, frameworks, and libraries to accelerate development and ensure maintainability across projects.
Optimize applications for performance, scalability, and reliability, proactively identifying bottlenecks and improving system efficiency.
Implement best-in-class security practices and data protection measures to safeguard sensitive information and maintain compliance with industry standards.
Apply strong knowledge of design patterns and software architecture principles to build robust, maintainable, and extensible systems
3-5 years of experience in building large-scale products
Bachelor’s Degree or equivalent years of experience
Expertise in Java and Spring or other relevant frameworks
Knowledge of container management tools (docker-swarm, Kubernetes) is a plus. An ability to perform well in a fast-paced environment
Good knowledge in at least one of the SQL or no-SQL databases: Postgres, MongoDB, Cassandra, Redis
Excellent medical insurance options and free online doctor consultations
Yearly privilege and sick leaves as per Karnataka S&E Act
Generous holidays (National and Festive) recognition and parental leave policies
Learning & Development fund to support your continuous learning journey and professional development
Fun events to build culture across the organization
Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)
Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.
We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.
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