Salary
≈ $22k – $60k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 3+ years exp
Overview
Company
Impact
Profile match
Observe. AI is an AI & NLP-enabled voice assistant platform for call centers. It empowers, assists call agents to perform their jobs better. Backed by Nexus Venture Partner, Y Combinator, and other investors.
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.
Responsibilities:
- 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 the work of other team members (at all levels), provide feedback to them, and lead by example on all of the above factors
- Represent the observed engineering and demonstrate thought leadership at the tech conferences by presenting solutions to complex challenges
Requirements:
- 3-5 years of experience in building large-scale products.
- Strong expertise in programming languages.
- Good knowledge of at least one of the SQL or NoSQL databases (like Postgres, MongoDB, Cassandra).
- In-depth knowledge of 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.
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