AI Engineer at Meraki Labs · Bengaluru (Bangalore) · 7 - 15 years · ₹50L - ₹50L / yr (ESOP available) · Posted 8 Sep 2026

About us
MyRico builds personal AI agents for enterprise, the copilots and digital employees that make humans more productive. The MyRico agents sit at the intersection of enterprise memory, high-end security, and an ever-expanding set of capabilities. We're a small team shipping fast, and the product is live with real customers today.
The role
Full-time · Bangalore
You'll own the systems that make an autonomous agent trustworthy in production. This is not just prompt engineering, and it's not model training - it's that and all the engineering layers in between: model steering, memory architecture, orchestration design, latency optimization, deterministic vs non-deterministic systems tradeoff, deployment, and operator tooling.
Concretely, the kind of work you'd have done here last week would include enhancing agent memory systems, runtime and scheduling reliability and predictability, adding new capability and tools to deployed agents, operator tools, live system debugging and benchmarking various models for price, latency and quality. And that is just last week. We are a small nimble startup rapidly working to address customer needs in this growing space, so things change rapidly.
What we're looking for
- More than 7 years of software engineering, with real production ownership of distributed or stateful systems - you've been paged for something you built and made it not happen again.
- Strong understanding of LLM based native app building, combining classic and model driven applications to get the best of both. You've built on LLMs beyond demos: agent frameworks, tool use, context management, eval fixtures, and you know why "it worked in the transcript" isn't evidence.
- Python and shell in production settings; comfortable in TypeScript/Node. You write boring, testable code and prefer the standard library to a new dependency.
- Systems taste: append-only logs, idempotent reconciliation, fold-the-events state machines, and read-only debugging surfaces feel like home.
- Evidence discipline: tests before features, claims backed by quoted observations, decisions written down.
Nice to have
- Experience running the combination of multi-tenant and single-tenant / on-prem-style fleets with ability to handle per-customer isolation, upgrade paths, migration compatibility in both setups.
- Security instincts for products that touch highly sensitive data and systems, including things like executives' email, calendars, and messages: least privilege, loopback-only services, secrets that never hit a log.
- You already orchestrate AI coding agents in your own workflow and have opinions about where they break.
How we work
Small team, high trust, written decisions. Designs get adversarial review before code; PRs get automated review driven to zero open findings; features aren't done until verified on a live system. AI agents do a large share of the implementation, your leverage is judgment: framing the problem, freezing the right design, and knowing when the machine is wrong.

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- Software Development Experience: Minimum 8+ years.
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- Source Version Control: Experience with GitHub or similar SVC.
- Team Leadership: Experience leading a team of software developers/data scientists.
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- Experience with React and TypeScript.
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- Strong leadership and mentorship abilities.
- Excellent problem-solving skills.
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- Ability to work in a fast-paced environment.
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Note: This is a part-time position paid on an hourly basis. The initial commitment is 4-8 hours per week, with potential fluctuations.
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• Collaborate with product management and engineering teams to elicit and understand their requirements, challenges and develop potential solutions
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• Strong experience with large volume batch and real-time data processing applications
• Experience building enterprise SaaS applications. Strong knowledge of AWS.
• Programming Languages: Java (must have), Python (good to have)
• BS/MS in Computer Science or equivalent from premier institutes
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- 5+ years of software experience
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- Expertise with SQL and NoSQL databases (MySQL, Mongo, ElasticSearch, Redis)
- Knowledge of DevOps practices
- Chatbot, Machine Learning, Data Science/Big Data experience will be a plus
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Job Description
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Key Skills
Python
Angular Javascript
Reactor & Solids Processing
Node.js
Elastic Search
NoSQL
Web Applications
Database
Web Servers
UX/UI Design
AWS Cloud
Agile Methodology









