ERPNext - Developer

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact me on nine three one six one two zero one three two

Job Title: Python Developer (Django / Databricks / Azure)

📍 Location: Bangalore

🕒 Experience: 3–8 Year

💼 Employment Type: FTE

🔹 Job Summary:

We are seeking a skilled Python Developer with strong experience in Django, Flask API development, Databricks, and Azure Cloud. The ideal candidate will be responsible for designing scalable backend systems, developing REST APIs, building data pipelines, and working with cloud-based data platforms.

🔹 Key Responsibilities:

✔ Develop and maintain web applications using Django framework

✔ Design and build RESTful APIs using Flask

✔ Develop and optimize data pipelines using Azure Databricks

✔ Integrate applications with Azure services (Blob, Data Factory, SQL, etc.)

✔ Write clean, scalable, and efficient Python code

✔ Collaborate with frontend, DevOps, and data engineering teams

✔ Perform code reviews and ensure best practices

✔ Troubleshoot, debug, and upgrade existing systems

🔹 Required Skills:

• Strong proficiency in Python programming
• Hands-on experience with Django framework
• Experience building Flask-based REST APIs
• Experience working with Azure Databricks
• Knowledge of Azure Cloud services
• Experience with SQL / NoSQL databases
• Understanding of CI/CD and Git workflows

🔹 Good to Have:

• Experience with PySpark
• Knowledge of microservices architecture
• Docker / Kubernetes exposure
• Experience in data engineering projects

Responsibilities

• Develop, deploy, and maintain scalable products
• Participate in code reviews, and design discussions to ensure code quality and distribute knowledge
• Pair with team members for functional and non-functional requirements to write well-crafted, well-tested, readable, and maintainable code.
• Help to define roadmap and architecture based on technology and business needs
• Understand business requirements and work closely with the business to provide solutions

Eligibility

• Strong expertise in Backend Python Development with skills to create APIs, integrate the functions into UI, and store and retrieve data from a variety of databases.
• Strong experience with Django/Flask.
• Strong experience in writing unit tests.
• B.Tech/B.E (Preferred CSE)

Backend - Software Development Engineer III

Experience - 7+ yrs

About Wekan Enterprise Solutions

Wekan Enterprise Solutions is a leading Technology Consulting company and a strategic investment partner of MongoDB. We help companies drive innovation in the cloud by adopting modern technology solutions that help them achieve their performance and availability requirements. With strong capabilities around Mobile, IOT and Cloud environments, we have an extensive track record helping Fortune 500 companies modernize their most critical legacy and on-premise applications, migrating them to the cloud and leveraging the most cutting-edge technologies.

Job Description

We are looking for passionate software engineers eager to be a part of our growth journey. The right candidate needs to be interested in working in high-paced and challenging environments leading technical teams, designing system architecture and reviewing peer code. Interested in constantly upskilling, learning new technologies and expanding their domain knowledge to new industries. This candidate needs to be a team player and should be looking to help build a culture of excellence. Do you have what it takes?

You will be working on complex data migrations, modernizing legacy applications and building new applications on the cloud for large enterprise and/or growth stage startups. You will have the opportunity to contribute directly into mission critical projects directly interacting with business stakeholders, customer’s technical teams and MongoDB solutions Architects.

Location - Chennai or Bangalore

• Relevant experience of 7+ years building high-performance back-end applications with at least 3 or more projects delivered using the required technologies
• Good problem solving skills
• Strong mentoring capabilities
• Good understanding of software development life cycle
• Strong experience in system design and architecture
• Strong focus on quality of work delivered
• Excellent verbal and written communication skills

Required Technical Skills

• Extensive hands-on experience building high-performance web back-ends using Node.Js and Javascript/Typescript
• Strong experience with Express.Js framework
• Working experience with Python web app development or python scripting
• Implementation experience in monolithic and microservices architecture
• Hands-on experience with data modeling on MongoDB and any other Relational or NoSQL databases
• Experience integrating with any 3rd party services such as cloud SDKs (AWS, Azure) authentication, etc.
• Hands-on experience with Kafka, RabbitMQ or any similar technologies.
• Exposure into unit testing with frameworks such as Mocha, Chai, Jest or others
• Strong experience writing and maintaining clear documentation

Good to have skills:

• Experience working with common services in any of the major cloud providers - AWS or GCP or Azure

Technical certifications in AWS / Azure / GCP / MongoDB or other relevant technologies

• 2 - 5 years of hands-on experience with Mongo DB as a Developer.
• Deploy and create MongoDB clusters with appropriate configuration once the machines are provisioned
• Be able to script, and have programming ability with MongoDB shell and/or other programming languages
• Configure and monitor replica sets and Sharded Clusters
• Ability and experience in working with applications that work with MongoDB such as Java, Node.js and/or others
• Experience with MongoDB security, managing roles and permissions
• Experience with MongoDB backups and restores, manually and using MongoDB and other tools
• Knowledge and experience in working with MongoDB Ops Manager and/or Cloud manager
• Knowledge and/or experience working with MongoDB Atlas
• Knowledge of at least one DevOps tool such as Puppet, Chef, Ansible or similar
• Experience with ORM tools such as spring data is preferred.

• Writing efficient, reusable, testable, and scalable code
• Understanding, analyzing, and implementing – Business needs, feature modification requests, conversion into software components
• Integration of user-oriented elements into different applications, data storage solutions
• Developing – Backend components to enhance performance and receptiveness, server-side logic, and platform, statistical learning models, highly responsive web applications
• Designing and implementing – High availability and low latency applications, data protection and security features
• Performance tuning and automation of application
• Working with Python libraries like Pandas, NumPy, etc.
• Creating predictive models for AI and ML-based features
• Keeping abreast with the latest technology and trends
• Fine-tune and develop AI/ML-based algorithms based on results

Good proficiency in,

• Python frameworks like Django, etc.
• Web frameworks and RESTful APIs
• Core Python fundamentals and programming
• Code packaging, release, and deployment
• Database knowledge
• Circles, conditional and control statements
• Object-relational mapping
• Code versioning tools like Git, Bitbucket

Fundamental understanding of,

• Front-end technologies like JS, CSS3 and HTML5
• AI, ML, Deep Learning, Version Control, Neural networking
• Data visualization, statistics, data analytics
• Design principles that are executable for a scalable app
• Creating predictive models
• Libraries like Tensorflow, Scikit-learn, etc
• Multi-process architecture
• Basic knowledge about Object Relational Mapper libraries
• Ability to integrate databases and various data sources into a unified system
• Basic knowledge about Object Relational Mapper libraries
• Ability to integrate databases and various data sources into a unified system