Data Engineer

About Us:

MyOperator is a Business AI Operator and a category leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform.

Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount.

Role Overview:

We’re seeking a passionate Python Developer with strong experience in backend development and cloud infrastructure. This role involves building scalable microservices, integrating AI tools like LangChain/LLMs, and optimizing backend performance for high-growth B2B products.

Key Responsibilities:

• Develop robust backend services using Python, Django, and FastAPI
• Design and maintain a scalable microservices architecture
• Integrate LangChain/LLMs into AI-powered features
• Write clean, tested, and maintainable code with pytest
• Manage and optimize databases (MySQL/Postgres)
• Deploy and monitor services on AWS
• Collaborate across teams to define APIs, data flows, and system architecture

Must-Have Skills:

• Python and Django
• MySQL or Postgres
• Microservices architecture
• AWS (EC2, RDS, Lambda, etc.)
• Unit testing using pytest
• LangChain or Large Language Models (LLM)
• Strong grasp of Data Structures & Algorithms
• AI coding assistant tools (e.g., Chat GPT & Gemini)

Good to Have:

• MongoDB or ElasticSearch
• Go or PHP
• FastAPI
• React, Bootstrap (basic frontend support)
• ETL pipelines, Jenkins, Terraform

Why Join Us?

• 100% Remote role with a collaborative team
• Work on AI-first, high-scale SaaS products
• Drive real impact in a fast-growing tech company
• Ownership and growth from day one

Job Description: Python-Azure AI Developer

Experience: 5+ years

Locations: Bangalore | Pune | Chennai | Jaipur | Hyderabad | Gurgaon | Bhopal

Mandatory Skills:

• Python: Expert-level proficiency with FastAPI/Flask
• Azure Services: Hands-on experience integrating Azure cloud services
• Databases: PostgreSQL, Redis
• AI Expertise: Exposure to Agentic AI technologies, frameworks, or SDKs with strong conceptual understanding

Good to Have:

• Workflow automation tools (n8n or similar)
• Experience with LangChain, AutoGen, or other AI agent frameworks
• Azure OpenAI Service knowledge

Key Responsibilities:

• Develop AI-powered applications using Python and Azure
• Build RESTful APIs with FastAPI/Flask
• Integrate Azure services for AI/ML workloads
• Implement agentic AI solutions
• Database optimization and management
• Workflow automation implementation

Job Title: Backend Engineer – Python (AI Backend)

Location: Bangalore, India

Experience: 1–2 Years

Job Description

We are looking for a Backend Engineer with strong Python skills and hands-on exposure to AI-based applications. The candidate will be responsible for developing scalable backend services and supporting AI-powered systems such as LLM integrations, AI agents, and RAG pipelines.

Key Responsibilities

• Develop and maintain backend services using Python (FastAPI preferred)
• Build and manage RESTful APIs for frontend and AI integrations
• Support development of AI-driven features (LLMs, RAG systems, AI agents)
• Design and maintain both monolithic and microservices architectures
• Optimize database performance and backend scalability
• Work with DevOps for Docker-based deployments

Required Skills

• Strong experience in Python backend development
• Hands-on experience with FastAPI / Django / Flask
• Knowledge of REST APIs and microservices
• Experience with AI applications (LLM usage, prompt engineering basics)
• Database knowledge: MongoDB, PostgreSQL or MySQL
• Experience with Docker and basic cloud platforms (AWS/GCP/Azure)
• Hands-on experience with Redis for caching and in-memory storage

Good to Have

• Experience integrating payment gateways (Razorpay, Stripe, PayU, etc.)
• Exposure to event-driven architectures using RabbitMQ, Kafka, or Redis Streams
• Kubernetes
• Understanding of model fine-tuning concepts

At Pipaltree, we’re building an AI-enabled platform that helps brands understand how they’re truly perceived — not through surveys or static dashboards, but through real conversations happening across the world.

We’re a small team solving deep technical and product challenges: orchestrating large-scale conversation data, applying reasoning and summarization models, and turning this into insights that businesses can trust.

Requirements:

• Deep understanding of distributed systems and asynchronous programming in Python
• Experience with building scalable applications using LLMs or traditional ML techniques
• Experience with Databases, Cache, and Micro services
• Experience with DevOps is a huge plus

About RapidClaims

RapidClaims is a leader in AI-driven revenue cycle management, transforming medical

coding and revenue operations with cutting-edge technology.

The company has raised $11 million in total funding from top investors, including Accel

and Together Fund.

Join us as we scale a cloud-native platform that runs transformer-based Large Language

Models rigorously fine-tuned on millions of clinical notes and claims every month. You’ll

engineer autonomous coding pipelines that parse ICD-10-CM, CPT® and HCPCS at

lightning speed, deliver reimbursement insights with sub-second latency and >99 %

accuracy, and tackle the deep-domain challenges that make clinical AI one of the

hardest—and most rewarding—problems in tech.

Engineering Manager- Job Overview

We are looking for an Engineering Manager who can lead a team of engineers while

staying deeply involved in technical decisions. This role requires a strong mix of people

leadership, system design expertise, and execution focus to deliver high-quality product

features at speed. You will work closely with Product and Leadership to translate

requirements into scalable technical solutions and build a high-performance engineering

culture.

Key Responsibilities:

● Lead, mentor, and grow a team of software engineers

● Drive end-to-end ownership of product features from design to deployment

● Work closely with Product to translate requirements into technical solutions

● Define architecture and ensure scalability, reliability, and performance

● Establish engineering best practices, code quality, and review standards

● Improve development velocity, sprint planning, and execution discipline

● Hire strong engineering talent and build a solid team

● Create a culture of accountability, ownership, and problem-solving

● Ensure timely releases without compromising quality

● Stay hands-on with critical technical decisions and reviews

.

Requirements:

● 5+ years of software engineering experience, with 2+ years in team leadership

● Strong experience in building and scaling backend systems and APIs

● Experience working in a product/startup environment

● Good understanding of system design, architecture, and databases

● Ability to manage engineers while remaining technically credible

● Strong problem-solving and decision-making skills

● Experience working closely with Product teams

● High ownership mindset and bias for action

Good to Have

● Experience in healthcare tech / automation / RPA / AI tools

● Experience building internal tools and workflow systems

● Exposure to cloud infrastructure (AWS/GCP/Azure)

1. Perform full life cycle software development
2. Test and evaluate the technical aspects of every decision
3. Review codes and assess code quality
4. Provide timely solutions to issues
5. Develop a server-side code for high-volume web-based applications
6. Create and develop web user interfaces with Web API as back-end
7. Implement analytics and monitoring routines
8. Knows how to SQL queries for the requirements & Stored Procedure / Entity framework
9. 2-3 Experience with and good knowledge of C, C++, C# and database technology .
10. 2+ years of experience with .NET MVC and web-based development
11. Experience with ASP.NET MVC, jQuery, Web API, Restful Service
12. Experience on Angular will be preferred

Responsibilities Include

You will break down business opportunities and problems into software solutions. You will work closely with the CTO to help product and marketing stakeholders distill the product vision and roadmap, into a technology vision. You will be responsible for the evolution of an already bleeding-edge highly distributed systems at the back-end, and would need to work with front-end architects to come up with the best user experience for the gaming platform. You will be required to make decisions quickly, and work under strict timelines. You would lead technology strategy through analysis of market trends and product requirements. You would help set coding guidelines and help bring the most modern tools to keep engineering processes most efficient.

Requirements

• B.E/MS in Computer Science or equivalent.
• 10+ years or more of progressive software technology experience with at least 3 years in an architectural role.
• Completely hands on with technology and architecture. Start-up experience is a huge plus.
• Ability to quickly prototype and demonstrate technology value adds and educate + drive adoption within the extended technology team
• Excellent and robust understanding of scalable product system architecture(s), platforms and core technologies
• Demonstrated problem-solving and leadership skills to pursue correct engineering process in adverse conditions. Ability to embrace and demonstrate leadership beyond ownership
• Work with engineering leadership to setup and manage processes.
• Track record of thought leadership and out of the box thinking in the technology arena.
• Ability to work efficiently in an entrepreneurial and in a start-up environment
• A Java/Spring/Akka, Javascript or Golang rockstar.
• Deep and hands on knowledge of some of these technologies - MySQL, NodeJS, message brokers such as Kafka/RabbitMQ, NoSQL datastore such as Mongo, Cassandra, Arango, distributed caches such as Redis/memcached, container technology such as Docker and Kubernetes etc.
• Great proficiency in distributed systems design, with an ability to make the right trade-offs for creating future-proof solutions.
• Building quick PoCs and full-fledged solutions with various AWS managed services would be a big plus.