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About Us
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.
Why Join Us
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 partner closely with product, design, and engineering leaders to define the roadmap and deliver solutions that truly matter. If you’re looking for an opportunity where your expertise drives innovation, your ideas shape the future of the platform, and your growth is fueled by working with smart, supportive peers, this is the place for you.
What you’ll be doing
- Contribute to building and deploying AI Agents for customer service in the form of Voice Agents, Chat Agents, and Coilots at enterprise scale.
- Contribute to the full application lifecycle by designing, coding, testing, deploying, and debugging - all with a high bar on quality.
- Collaborate with the product and design team to translate the product roadmap into a clear and actionable technical roadmap.
- Develop reusable code, frameworks, and libraries to accelerate development and maintain consistency across projects.
- Optimize applications for speed, scalability, and reliability - hence proactively addressing bottlenecks and performance issues.
- Implement robust security measures and data protection practices to safeguard applications and sensitive customer data.
- Design and manage scalable data storage solutions that ensure efficiency, reliability, and long-term maintainability.
- Build and scale efficient data pipelines to process large volumes of data with accuracy and speed.
- Review work of other team members (at all levels), provide feedback to them and lead by example on all of the above factors
- Represent the observe engineering and demonstrate thought leadership at the tech conferences by presenting solutions to complex challenges
What you’ll bring to the role
- 5-9 years of experience in building large-scale products
- Strong expertise in at least one high level programming language (like Python, Java, Golang), and familiarity with a few more (You should be comfortable to working on Python with immediate effect and any other languages that fit the use case in future)
- Good knowledge in at least one of the SQL or no-SQL databases (like Postgres, MongoDB, Cassandra)
- In depth knowledge on some of the asynchronous communication tools (like Kafka, SQS temporal. etc.), good understanding of popular caching tools(like Ehcache, Memcache, Redis)
- Customer first thought process, ability to adapt quickly in a fast paced environment, Openness to learning new technologies, Ability to think and talk from first principles
Perks & Benefits
- 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.)
Our Commitment to Inclusion and Belonging
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.
If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.
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Observe AI
SeedObserve AI is an artificial intelligence company focused on customer experience and conversational AI solutions.
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뉴스 & 버즈
KMT chairwoman observes AI development in Beijing, highlighting cross-Strait cooperation - Global Times
Global Times
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1w ago
Observe.Ai Secures Fresh Fund Of USD 26 Million In Series A Round - Siliconindia
Siliconindia
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3w ago
Show HN: ClawSoc – Observe Your AI Agent in an AI Society
What would happen if your AI Agent met Blackbeard in the wild? What would they talk about? What if they were made to play the prisoner's dilemma. Would your agent beg him to cooperate? Would it work?<p>What if instead of Blackbeard it was someone's OpenClaw. And instead of one it was many. Would your agent come out on top? Would you meet some interesting people on the way?<p>Thanks for checking out my pet project ClawSoc. It's a free-to-join society of bouncing AI agents that &quo
HN
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5w ago
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Labor market impacts of AI: A new measure and early evidence - Anthropic
Anthropic
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