Backend Engineer (Python + FastAPI)

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.

We are seeking a talented and motivated Backend Developer to join our dynamic team. As a senior Backend Developer, you will play a crucial role in enhancing and expanding our AI productivity tool, working on the intersection of natural language understanding (NLU), event-condition-action (ECA) frameworks.

Key Responsibilities:

• Collaborate with cross-functional teams to design and implement advanced features for our AI productivity tool.
• Innovate and propose creative solutions to enhance the functionality and user experience of the platform.
• Develop back-end components of the AI productivity tool, ensuring performance and scalability.
• Design and implement robust backend services and APIs using Python- Django.

Requirements:

• Bachelor's/Master's degree in Computer Science or a related field.
• Proven experience (3-4 years) as a Software Development Engineer, with a focus on Python- Django
• Strong problem-solving skills and the ability to think creatively.
• Ability to take up different tech stacks.
• Mathematical experience preferred.
• Proficiency in Backend Technologies as well as a basic understanding of Frontend technologies.

Nice-to-Haves:

• Experience with cloud platforms and services.
• Experience with Frontend Technologies.
• Track record of contributing to open-source projects.
• Passion for staying updated on the latest trends in AI and technology.

• Ownership of product/feature end-to-end for all phases from the development to the production.
• Ensuring the developed features are scalable and highly available with no quality concerns.
• Work closely with senior engineers for refining the design and implementation.
• Management and execution against project plans and delivery commitments.
• Assist directly and indirectly in the continual hiring and development of technical talent.
• Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts.
• Contribute intellectual property through patents.

• 2+ years of non-internship professional software development experience
• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
• A Bachelor's degree in Computer Science or related technical discipline.
• 3+ years of Software Development experience.
• Strong knowledge of Data Structures, Algorithms and CS fundamentals.
• Strong coding and problem solving skills.

• Experience working with service oriented architectures and web-based solutions.
• Experience in eCommerce and deep hands-on technical expertise
• Experience working on the AWS technologies.
• Experience with NoSQL and relational databases.
• Excellent verbal and written communication skills
• Experience working on Agile processes (Scrum, Kanban).

Responsibilities:

• Build scalable, service oriented web applications from scratch for technology products for European market.
• Maintain these applications for accuracy and high availability.
• Continuously identify opportunities to improve system designs, architecture and implementation standards
• Participate with founding, business and product teams in discussions on how to build and launch new modules.
• Collaborate across functions and own the planning, estimation and execution for parts of the product.
• Start as an individual contributor but stay ready to build and mentor a small team of up to 5 engineers over the coming months and years.
• Contribute in hiring highly ambitious engineers as the team grows.
• Being among the first people on the engineering team, be a culture driver.

Requirements:

• Experience of architecting and building products/business critical backend applications using different MVC frameworks.
• Experience with microservices.
• Experience of building and maintaining scalable applications using Node.js/MEAN stack.
• Experience of deploying and maintaining web applications.
• Experience with non relational databases like MongoDB.
• Understanding of relational databases like MySQL.
• Familiarity with REST APIs and stress testing tools.
• Good communication skills.

• Exposure in building polyglot applications.
• Exposure for devops and related processes, preferably GCP.
• Knowledge of components in scalable solutions i. e. database partitions, message brokers, background processing.
• Exposure to basic frontend technologies to speed up collaboration with the frontend team.

Hi All,

We are hiring!!

Company: SpringML India Pvt Ltd.

Role:Lead Data Engineer

Location: Hyderabad  

Website: https://springml.com/">https://springml.com/

About Company:

At SpringML, we are all about empowering the 'doers' in companies to make smarter decisions with their data. Our predictive analytics products and solutions apply machine learning to today's most pressing business problems so customers get insights they can trust to drive business growth.

We are a tight-knit, friendly team of passionate and driven people who are dedicated to learning, get excited to solve tough problems and like seeing results, fast. Our core values include placing our customers first, empathy and transparency, and innovation. We are a team with a focus on individual responsibility, rapid personal growth, and execution. If you share similar traits, we want you on our team.

What's the opportunity?

SpringML is looking to hire a top-notch Lead Data Engineer who is passionate about working with data and using the latest distributed framework to process large dataset.

As a Lead Data Engineer, your primary role will be to design and build data pipelines. You will be focused on helping client projects on data integration, data prep and implementing machine learning on datasets. 

In this role, you will work on some of the latest technologies, collaborate with partners on early win, consultative approach with clients, interact daily with executive leadership, and help build a great company. Chosen team members will be part of the core team and play a critical role in scaling up our emerging practice.

Responsibilities:

•  Ability to work as a member of a team assigned to design and implement data integration solutions.
•  Build Data pipelines using standard frameworks in Hadoop, Apache Beam and other open-source solutions.
•  Learn quickly – ability to understand and rapidly comprehend new areas – functional and technical – and apply detailed and critical thinking to customer solutions.
•  Propose design solutions and recommend best practices for large scale data analysis

Skills:

•  B.tech degree in computer science, mathematics or other relevant fields.
•  6+years of experience in ETL, Data Warehouse, Visualization and building data pipelines.
•  Strong Programming skills – experience and expertise in one of the following: Java, Python, Scala, C.
•  Proficient in big data/distributed computing frameworks such as Apache Spark, Kafka,
•  Experience with Agile implementation methodology 

• Experience in Web and Mobile Applications
• Agility and ability to adapt quickly to changing requirements and scope and priorities
• Experience in Java, Python.
• Deep understanding of data structures and microservices.
• Knowledge of Node.js
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Familiarity with front-end technologies
• User authentication and authorization between multiple systems, servers, and environments
• Interaction with multiple data sources
• Good understanding of SQL
• Understanding fundamental design principles behind a scalable application
• Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform.
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git .