Python Developer

Job Title : Python Backend Engineer (with MLOps & LLMOps Experience)

Experience : 4 to 8 Years

Location : Gurgaon Sector - 43

Employment Type : Full-time

Job Summary :

We are looking for an experienced Python Backend Engineer with a strong background in FastAPI, Django, and hands-on exposure to MLOps and LLMOps practices.

The ideal candidate will be responsible for building scalable backend solutions, integrating AI/ML models into production environments, and implementing efficient pipelines for machine learning and large language model operations.

Mandatory Skills : Python, FastAPI, Django, MLOps, LLMOps, REST API development, Docker, Kubernetes, Cloud (AWS/Azure/GCP), CI/CD.

Key Responsibilities :

• Develop, optimize, and maintain backend services using Python (FastAPI, Django).
• Design and implement API endpoints for high-performance and secure data exchange.
• Collaborate with data science teams to deploy ML/LLM models into production using MLOps/LLMOps best practices.
• Build and manage CI/CD pipelines for ML models and ensure seamless integration with backend systems.
• Implement model monitoring, versioning, and retraining workflows for machine learning and large language models.
• Optimize backend performance for scalability and reliability in AI-driven applications.
• Work with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) for deployment and orchestration.
• Ensure best practices in code quality, testing, and security for all backend and model deployment workflows.

Required Skills & Qualifications :

• 4 to 8 years of experience as a Backend Engineer with strong expertise in Python.
• Proficient in FastAPI and Django frameworks for API and backend development.
• Hands-on experience with MLOps and LLMOps workflows (model deployment, monitoring, scaling).
• Familiarity with machine learning model lifecycle and integration into production systems.
• Strong knowledge of RESTful APIs, microservices architecture, and asynchronous programming.
• Experience with Docker, Kubernetes, and cloud environments (AWS, Azure, or GCP).
• Exposure to CI/CD pipelines and DevOps tools.
• Good understanding of Git, version control, and testing frameworks.

Nice to Have :

• Experience with LangChain, Hugging Face, or similar LLM frameworks.
• Knowledge of data pipelines, feature engineering, and ML frameworks (TensorFlow, PyTorch, etc.).
• Understanding of vector databases (Pinecone, Chroma, etc.).

Education :

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Company Overview:

We are a small, dynamic, and growing AI-focused company delivering cutting-edge AI solutions to our clients. We specialize in implementing real-world applications using Large Language Models (LLMs), Small Language Models (SLMs), Retrieval-Augmented Generation (RAG), Agentic AI systems, and cloud-native services across AWS, Azure, and GCP.

Job Summary:

We are looking for a passionate AI Developer & Solution Provider who thrives on solving real client problems using AI. The ideal candidate will have solid experience with Python, language models, chatbot development, and building scalable solutions using cloud services and modern databases. You will work directly with clients to understand their needs and deliver end-to-end AI-powered solutions.

Key Responsibilities:

• Design, build, and deploy AI/ML solutions using LLMs (e.g., GPT-4, Claude), SLMs, and open-source models.
• Develop and fine-tune chatbots, intelligent agents, and Agentic AI workflows for various client use-cases.
• Implement Retrieval-Augmented Generation (RAG) pipelines to enhance LLM capabilities.
• Build secure, scalable backends using Python and integrate AI components with APIs, databases, and cloud systems.
• Understand client requirements and translate them into technically sound and scalable AI solutions.
• Deploy applications and services using cloud platforms (AWS, Azure, GCP).
• Work with structured and unstructured data, including setting up and managing databases (SQL, NoSQL).
• Stay updated with the latest trends in AI/ML and help bring innovative solutions to the team and clients.
• Document solutions and provide technical support during client handover and implementation.

Required Skills and Experience:

• Strong Python programming experience, especially for AI/ML development.
• Hands-on experience with LLMs, SLMs, OpenAI, Hugging Face, etc.
• Practical knowledge of RAG, vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma).
• Experience with Agentic AI systems, frameworks (e.g., LangChain, AutoGen, CrewAI), and chatbot development.
• Good understanding of databases – both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis).
• Solid experience with cloud platforms: AWS (SageMaker, Lambda), Azure (OpenAI, ML Studio), GCP (Vertex AI, Functions).
• Comfortable interacting with clients and delivering tailored AI solutions.
• Excellent problem-solving and communication skills.

Nice to Have:

• Experience with fine-tuning/custom training of models.
• Experience in deploying scalable APIs (e.g., FastAPI, Flask).
• Background in data engineering or MLOps.
• Familiarity with DevOps, Docker, Kubernetes is a plus.

Why Join Us?

• Opportunity to work on cutting-edge AI solutions with real-world impact.
• Collaborative and flexible work culture.
• Direct exposure to diverse clients and industries.
• Fast-paced environment with learning and growth opportunities.

We're looking for an experienced Backend Engineer Interns to join our growing team of engineers to help build and maintain our products. You should have prior internship experience as Backend intern using PythonDjango

Requirements/Skills

• At least prior internship experience -on Backend development experience especially in Python & Django stack is must
• Prior experience in tech and product startups ‍.
• Good communication skills
• Minimum 60% aggregate marks (Passed out year - 2022 & 2023)
• Sound knowledge on Python programming language and must have completed projects using the Python

Internship Details :

• Full-time Paid Internship(15,000-35,000)
• Internship duration: 3-6 months
• Based on their performance during the internship, there may be a Full-time opportunity available for them to join our team

Join our growing team and work with some of the best backend engineers. Work on interesting and complex challenges in a fast paced development environment

Hands -on experience with the following technologies is needed:

1. Good Knowledge of Python & Django Framework.
2. Experience in Git or any Version control systems.
3. Experience in SQL Databases like MySQL and PostgreSQL.
4. Knowledge of NoSQL Databases like Mongodb.
5. Worked on Django based live projects.
6. To implement microservices using Django rest framework.
7. Handling various technical aspects like coding of modules using the given design specifications
8. Debugging and fixing the defects as well as analyzing its root cause.
9. Deployment(AWS) and monitoring of the live project.
10. Mentoring junior developers.

Knowledge/Experience of AWS will be a big plus

Preferred Qualifications: 
B-Tech-IT/B-Tech -CSE/BCA or any degree in the relevant field

Required Experience: 
3 – 6 Years

Intro

We are looking for an Software Engineer (SDE1) to join our team and drive the technology growth of our pay later platform. At Rely, we want passionate and talented individuals that want a challenge building the next generation payment products for Millennials across Asia. Together we will build the best products using amazing technology.

What will you do

• Design and implement business critical, high performance large scale services.
• Translate business requirements into scalable and extensible design.
• Coordinate with cross functional teams (Data, UX, QA etc.) on planning and execution.
• Continuously improve code quality, product execution and customer delight.
• Proactively manage stakeholder communication related to deliverables, risks, changes and dependencies.
• Building and managing automated build/test/deployment environments.
• Work with team members on functional and nonfunctional requirements and spread goals across the team.
  
  

What will you need

• 2+ years of hands-on experience with python and a backend framework (ideally django)
• 1+ years Hands-on experience working with Javascript and JS frameworks (Angular, React)
• Hands-on experience in designing, developing, testing and deploying applications large scale applications in any language or stack
• Experience working with high scale distributed systems.
• Practical knowledge of scalable software design.
• Good working knowledge of AWS
• Proficient with APIs, web protocols, OAuth, git.
• Ability to understand and implement Continuous Integration and Continuous Delivery.
• Well versed with Lean methodologies, TDD and Test Engineering and Automation.
• Ability to design and implement low latency RESTful services.
• Willingness to learn new languages and methodologies.

What would be a bonus

• Experience in production environments with large data sets
• Experience in scaling systems to millions of users.
• Work experience in a fast-growth startup
• Experience in DevOps tools but not limited to Docker, Kubernetes
• Experience in Gunicorn and Nginx

MoEngage is a fast-paced startup that’s helping companies run smart marketing efforts in their effort to reach the customer. We are a leading Marketing Technology Stack provider that is helping brands redefine their customer engagement in the mobile era. Brands use MoEngage to drive long-term, personalised and context-based engagement across channels to help achieve increased customer retention as well as customer LTV. Sitting at a conflux of diverse technologies like Artificial Intelligence, Big Data, Web & Mobile platforms, MoEngage technology analyses billions of data points generated by customers and their devices, to predict customer behavior and build marketing campaigns that proactively engage users.

In just four years since inception, MoEngage is working with leading brands across e-commerce, entertainment, travel, publishing and banking domains among others. With marquee clients like Vodafone, Oyo, Airtel, McAfee, MoEngage has over 125+ paying Customers in the Enterprise & Internet companies space in India, US, South East Asia & EU. With a global presence spanning 35 countries, MoEngage has offices in San Francisco, Berlin, Jakarta, and Bengaluru.

Today, MoEngage is an industry pioneer in the space and engages more than 350M devices. This includes approximately 40B events tracked per month, 30B+ messages sent, to millions of users across the globe.

As part of the Engineering team at MoEngage, here are some things you can expect:

• Take ownership and be responsible for what you build - no micro management
• Work with A players (some of the best talent in the country), and expedite your learning curve and career growth
• Make in India and build for the world at scale of 350M active users, which no other internet company in the country has seen
• Learn together from different teams on how they scale to millions of users and billions of messages. 
• Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Kafka, Spark, Samza and share with the team 

and more importantly have fun while you work on scaling MoEngage.

Push team is one of the core teams at MoEngage, responsible for sending close to a billion notifications everyday to help clients engage their users better. As a member of the Push team, you will be working on developing high performance solutions to deliver personalised and context-based notifications across various channels to help achieve increased customer retention as well as customer LTV. You will also be working on designing and building features to help clients to provide customised experience for end users allowing them to have a more personalised experience at scale. Here you will have a chance to own systems and develop features end to end i.e right from inception to deployment. Though we work at scale, reliability is of utmost importance for us and we build in house solutions like Campaign Watcher & AutoBatchRunner to ensure 100% transparency and delivery of notifications

• Proven experience in handling large infrastructure and distributed systems
• Familiarity with Python related technologies and frameworks like Django or Pyramid.
• Familiarity with at least one of the cloud computing infrastructure - GCP / Azure / AWS
• Familiarity with task queue frameworks like Celery or Pika is a plus.
• Tech Stack - Python, Falcon, Elastic Search, MongoDB, AWS (SQS S3), Linux, Map Reduce