Pyspark Developer

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.

Job Title: AI & Automation Engineer

Experience: 3–5 Years

Employment Type: Full-time

Location: On-site

About the Role

We are looking for a passionate and hands-on AI & Automation Engineer to build intelligent automation solutions that improve efficiency and drive business scalability. In this role, you will design and develop automated workflows, build web scrapers and data pipelines, integrate AI/LLM APIs, and create smart systems that eliminate repetitive manual processes.

This position is ideal for someone who enjoys solving real-world business problems using automation, scripting, machine learning, and artificial intelligence technologies.

Key Responsibilities

Design, develop, and maintain automation workflows using platforms such as n8n, Make (Integromat), Zapier, and custom scripts.

Build automation solutions using Python and Google Apps Script for Google Workspace applications, including Google Sheets, Docs, Forms, and Gmail.

Develop and maintain web scraping solutions and data extraction pipelines using tools such as BeautifulSoup, Scrapy, Playwright, or Puppeteer, while adhering to ethical and legal guidelines.

Apply AI and Machine Learning techniques for classification, prediction, data enrichment, document processing, and content generation.

Integrate LLM APIs such as OpenAI, Anthropic Claude, and other AI services into internal tools and automated workflows.

Develop integrations between SaaS platforms, CRMs, databases, spreadsheets, and third-party APIs.

Analyze existing business processes and design end-to-end automation solutions that improve operational efficiency.

Design, manage, and optimize SQL/NoSQL databases supporting automation workflows.

Monitor, troubleshoot, and maintain automation systems to ensure high reliability, scalability, and performance.

Implement proper logging, error handling, monitoring, and documentation for all automation solutions.

Collaborate with cross-functional teams to identify automation opportunities and deliver scalable AI-powered solutions.

Required Skills & Qualifications

Bachelor's degree in Computer Science, Information Technology, B.E., B.Tech, BCA, MCA, or equivalent practical experience.

3–5 years of experience in automation engineering, scripting, AI integration, or related technical roles.

Strong proficiency in Python and/or Google Apps Script.

Hands-on experience with automation platforms such as n8n, Make (Integromat), Zapier, or similar tools.

Experience developing web scrapers using BeautifulSoup, Scrapy, Playwright, Puppeteer, or equivalent frameworks.

Practical experience integrating AI/LLM APIs into business applications.

Good understanding of Machine Learning fundamentals and AI-powered automation.

Strong knowledge of REST APIs, JSON, Webhooks, Authentication, and API integrations.

Experience working with SQL and NoSQL databases.

Strong analytical, debugging, and problem-solving abilities.

Ability to design scalable automation systems from scratch with minimal supervision.

Preferred Skills

Experience with Scikit-learn, TensorFlow, or PyTorch.

Knowledge of Vector Databases, Retrieval-Augmented Generation (RAG), and AI Agents.

Experience with Prompt Engineering and Agentic AI Workflows.

Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.

Experience with Docker, serverless architectures, and cloud-based deployments.

Basic front-end development skills (HTML, CSS, JavaScript) for building internal dashboards and tools.

What We're Looking For

Strong passion for automation and AI technologies.

A builder mindset with the ability to transform manual processes into intelligent automated systems.

Excellent problem-solving and logical thinking skills.

Self-motivated, detail-oriented, and eager to learn emerging AI technologies.

Strong communication and collaboration skills.

Ability to work independently while contributing effectively within a team.

Why Join Us?

Work on cutting-edge AI and automation projects.

Build intelligent systems that have a direct business impact.

Opportunity to experiment with the latest AI technologies and LLMs.

Collaborative environment with continuous learning and growth opportunities.

Exposure to modern automation platforms, cloud technologies, and scalable AI solutions.

Senior Datadog Platform Engineer / Observability Developer

We are looking for an experienced Datadog Engineer to manage and enhance enterprise observability and monitoring platforms across Azure Cloud and Azure DevOps environments.

Required Experience

• 6–10 years of overall IT experience
• 4–6 years of strong hands-on Datadog experience
• Experience with Azure Cloud, Azure DevOps, CI/CD, and enterprise integrations
• Strong knowledge of automation, observability, and platform engineering

Key Responsibilities

• Configure and manage Datadog platform, dashboards, alerts, logging, APM, and observability solutions
• Develop automation and reusable frameworks using Datadog APIs, scripting, and CI/CD pipelines, Azure Cloud services, Azure DevOps, Jira, Kubernetes, and enterprise applications
• Implement Monitoring-as-Code and Dashboard-as-Code standards
• Support onboarding, telemetry integration, operational workflows, and platform optimization

Preferred Skills

• Datadog platform engineering and integrations
• Azure Cloud and Azure DevOps
• Python, PowerShell, YAML, JSON, APIs
• CI/CD pipelines and automation
• Kubernetes / AKS and cloud-native platforms

Soft Skills

• Strong communication and stakeholder management
• Good troubleshooting and problem-solving skills
• Ability to work independently and drive ownership
• Strong collaboration and documentation skills

About Company

Our client is an Indian D2C brand into a Premium Luxury Destination to shop exclusive Designer wear.

We are hiring an HR Business Partner for a luxury retail & e-commerce omnichannel platform that is well-funded and is now ready for its next level of growth. Backed by reputed investors, it is already a leader in its space. The focus for the coming years will be on scaling the business with technology as its backbone. Market-driven competitive salary for the right candidate

Role Summary:

As a Store Manager, you will drive store profitability by overseeing operations, implementing sales strategies, ensuring exceptional customer service, and leading a high-performance team. If you're prepared for a challenging and rewarding role, apply to contribute to our company's success.

Expectations and Summary of Role:

Job Duties and Responsibilities:

- Drive top-line sales revenue and profitability.

- Develop and communicate SMART store targets.

- Resolve escalated customer complaints and collect feedback.

- Execute marketing strategies to increase the customer base.

- Establish standardized systems for smooth store operations.

- Manage team deliverables, resolve conflicts, and maintain high morale.

- Participate in the hiring process and develop the sales team.

- Prepare analytical reports on store performance for management.

Requirements

- Proven experience as a Store Manager or in a similar role.

- Strong leadership and people management skills.

- Excellent communication and interpersonal abilities.

- Demonstrated ability to drive sales and achieve targets.

- Knowledge of retail operations and customer service principles.

- Analytical and problem-solving skills.

Responsibilities:

• The ideal candidate must have experience as an end-to-end for both IT and Non-IT.

• Should have good technical knowledge.

• Responsible for end-to-end hiring: Sourcing, interviewing, salary negotiation, and closing

• Candidates for assigned requisitions.

• Must have good experience in hiring Candidates.

• Should have experience in using job portals (Naukri, LinkedIn, Monster, etc) and other

• open-source platforms and have a good pipeline of passive candidates.

• Ability to work independently and multi-task in a fast-paced environment.

• Ability to communicate effectively with candidates and hiring managers.

• Maintaining an internal database of candidates as per their skill sets.

• Excellent sourcing skills.

Qualifications:

• Proven experience as an HR recruiter.

• Proficiency in English.

• Familiarity with Applicant Tracking Systems and resume databases.

• Experience with sourcing techniques.

• Self-motivated with a results-driven approach.

• Driving key technology decisions with the team
• Collaborating with various stakeholders to plan for the successful rollout of projects
• Working closely with the team to develop and test the product features to ensure its in line with the organizational and end user requirements
• Maintaining code and writing automated tests to ensure the product is of the highest quality
• Managing project priorities, deadlines and deliverables

What you need to have:

• 6-9 years of relevant experience in Android development
• Ability to design applications around Android recommended user interfaces and design principles
• Expertise in MVC or MMVM architecture
• Knowledge of OOPs concept
• Prior experience in android jet-pack
• Knowledge of SQL
• Hands-on experience in UI designing    

What you need to have:

Requirements:

• 5+ years of experience in Testing (manual and automation)
• Experience with Open Source testing tools like Selenium, Appium, REST Assured.
• Strong command of programming language like Java
• Ability to write custom code to test applications
• Deep understanding and ability to implement OO Programming
• Experience in creating test strategy and frameworks
• Ability to spike and choose appropriate automated testing tools for given problem statement
• Exposure to version management tools like SVN or GIT
• Familiarity with automated deployment processes (CI & CD)