Free · takes a minute · your resume fills your profile
CoreHRx never asks candidates for money. If anyone does, .
Sign in to see your fit: the skills, experience and location this job asks for, checked against your profile.
Location: India
Department: ActAIealware
We are reimagining the phone. AI phones need to be proactive, intuitive, intelligent and low cost. This is a mission critical for rest of the world to adopt intelligence.
There are over 5 billion people using everyday applications such as email, messaging, notes, tasks, and calendars, yet most are not AI-native. Our mission is to build proactive applications and devices that bring intelligence into daily conversations, coordination and workflows, with minimal prompting.
Focus: Building agent capabilities, context, memory and orchestration.
Implement agent workflows and orchestration.
Build integrations with different tools and applications.
Develop context retrieval and memory mechanisms.
Implement multi-step task execution.
Support long-running workflows and state management.
Improve agent reliability and execution accuracy.
Integrate local and cloud model providers.
Build evaluation and regression tests for agent workflows.
Strong backend or AI application engineering experience.
Python, Go or TypeScript.
Experience with LLM APIs and tool calling.
Experience building AI applications or agent workflows.
Strong API and distributed systems knowledge.
Good understanding of state management and asynchronous execution.
Production agent infrastructure.
RAG, memory and context engineering.
Model routing and inference optimization.
Experience with mobile or operating-system integrations.
From live job posts on CoreHRx, updated 7 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹25L a year (typical for IT Jobs in India, 904 posts).
It is a full time job.
Interview preparation · 60 questions
This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.
Questions you may be asked
Create a free profile and we email you new IT jobs, at most once a week.
