Responsibilities will include:
• Working on the full stack, from UI elements to database performance.
• Building new features from start to finish and back end to front end, including architecture design, coding, testing, and supporting in production.
• Tackling a wide variety of technical issues throughout our stack and contributing to all parts of the code base.
Key things we'll be looking for:
• Functional, real world programming experience (vs. theoretical).
• 4 to 6 years experience in Python, Django.
• The ability to hold your own on the front end and the back end.
• SQL database experience (PostgreSQL, MySQL, SQLite).
• Experience with deployments to Heroku, AWS, or similar.
• A track record of balancing fast-and-dirty and long-term code maintainability.
• Experience in integrating 3rd party APIs and payment gateways.
• Experience working on a fintech or payments technology product.
Extra credit if you have:
• Experience with Postgres database administration.
• Shipped code that has supported tens of thousands of users, including enterprise/business customers.
• Experience in operations and how it pertains to site reliability/speed.
• Familiarity with networking, caching, database, and how to triage issues.
• A good eye for intuitive, user-friendly front end design.

About Dinero Innovation Technologies
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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.
Responsibilities
• Build high quality systems and applications that solve key challenges for the customer
• Collaborate with product management and engineering teams to elicit and understand their requirements, challenges and develop potential solutions
• Proactively identify areas of improvements, come up with innovative solutions, and drive adoption
• Push boundaries on infrastructure and cost optimisation, reusability, simplicity and scalability • Own significant engineering projects end-to-end
• Sign-off on all significant architectures and technical designs regardless of front-end or back-end.
• Translate business requirements to tangible engineering deliverables
• Setup and streamline processes and introduce best practices to improve the overall efficiency and throughput of the engineering team
• Be an effective mentor and help in building capacity in the larger team, strategize and work towards helping junior engineers grow
• Stay current with latest tools, technologies, methodologies and ideas; spread the knowledge and conduct effective POCs to demonstrate applicability and benefits
Requirements
• 15+ years of strong experience in developing highly scalable backend and middle tier enterprise applications.
• 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
• Strong in problem solving, data structures and algorithm design.
• Clear Object Oriented Design and Design Pattern concepts
• Significant experience working with non-functional requirements such as performance, security, compliance, automation etc.
• Experience developing AI-based solutions is a big plus.
• Comfortable working in a fast paced startup environment.
• Strong communication and collaboration skills.
• Attention to detail
- Collaborating with engineering, design and product teams to design and ship new features.
- Identifying and solving bottlenecks and fix bugs.
- Design interfaces for web and mobile.
What you need to have:
- Deep knowledge of Ruby on Rails (RoR) practices and commonly used modules; deep understanding of RoR internals like databases, API, caching, proxies, web services, performance and scalability.
- Experience creating self-contained, reusable, and testable modules and components.
- Experience in SQL and NoSql databases in production environments. Experience working with Git, AWS/GCP.
- Proficient in ReactJs / React-Native.
- Good communication skills
- 4+ years of relevant experience as a software engineer
- 9+ years of experience in enterprise web application design and development with 4+ years of experience as an automation architect.
- Experienced in technology stack selection and the definition of solution, technology and integration architectures for small to mid-sized applications and cloud hosted platforms
- Strong understanding of various design and architecture patterns
- Experience in implementing and governing software engineering processes, practices, tools and standards for development teams
- Experience of setting up and operating the DevOps and automation infrastructure for continuous integration and delivery
- Full SDLC experience leveraging Agile, TDD and BDD for building and rolling out highly transactional and highly available platforms hosted on premise and on the cloud
- Proficient in effort estimation techniques
- Must be hands on technology and able to troubleshoot critical issues in design or code
- Experience in Mobile Applications automation using SeeTest, Appium
- Strong hands-on experience of designing and developing technology frameworks and micro-services, APIs, REST Web Services, leveraging Java and open source technology stack (i.e. Java, JavaScript, Node.js/ Angular.js/ React.js, Spring Bot, Non-blocking Java, etc. )
- Hands on experience with JBehave, Cucumber, TestNG, Extent Reports
- Strong design, development and performance tuning skills on at least two or more databases such as Oracle, SQL Server, NOSQL and NewSQL (e.g. PostgresQL, Cassandra, Mongo DB, Cosmos DB, MySQL etc.)
- Experience on enterprise architecture patterns and a couple of past examples of architecting high availability, scale and performance applications
- Strong experience with code review and evaluate the architecture as well as design towards a set of business and technology goals
- Experience with SonarQube code coverage and code quality
- Experience with Cypress JavaScript automation
- Experience on command prompt tools like Shell Script, UNIX
- Hands on experience on Cloud stacks (AWS preferred)
- Hands on experience with standalone applications automation using UFT, LeanFT and VB Script
- Knowledge of principles on code quality, distributed applications, TDD & test automation, self-monitoring applications, refactoring and technical debt







