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Job Summary
We are looking for a skilled Python Developer with 3 years of experience to join our team in Bangalore. The ideal candidate should have strong expertise in Python, Django, and PostgreSQL, along with a good understanding of backend development. Knowledge of Java will be an added advantage.
Key Responsibilities
Develop, test, and maintain scalable backend applications using Python and Django
Design and manage databases using PostgreSQL
Write clean, efficient, and reusable code
Collaborate with cross-functional teams to define, design, and ship new features
Debug and resolve technical issues and optimize application performance
Participate in code reviews and ensure best coding practices
Required Skills
Strong experience in Python
Hands-on experience with Django framework
Good knowledge of PostgreSQL database
Understanding of REST APIs and web services
Familiarity with version control systems (e.g., Git)
Good to Have
Basic knowledge of Java
Experience with cloud platforms or deployment processes
Understanding of front-end technologies is a plus
Qualifications
Bachelor’s degree in Computer Science, Engineering, or related field
Additional Requirements
Immediate joiners or candidates with short notice period preferred
Strong problem-solving and analytical skills
Good communication and teamwork abilities
Job Title: Python Backend Engineer (Full-time)
Location: Gurgaon, Onsite
Working Days: 5 days
Experience Required: 4+ Years
Interview: Screening and Face-to-face Interview
Job Summary
We are looking for a Python Backend Engineer with strong experience in FastAPI/Django and hands-on exposure to MLOps and LLMOps. You will work on building APIs, deploying ML/LLM models, and enabling intelligent systems using modern AI tools and frameworks.
Responsibilities
- Build and maintain scalable backend systems using Python, FastAPI, or Django
- Deploy and manage ML models (e.g., OpenCV, scikit-learn) and LLMs in production
- Develop APIs for ML/LLM inference and support RAG pipelines
- Implement model versioning, CI/CD, and monitoring for production use
- Collaborate with AI teams to integrate models into applications
Skills Required
- Strong Python backend development (FastAPI/Django)
- Experience with ML libraries: scikit-learn, OpenCV, NumPy, Pandas
- MLOps tools: MLflow, DVC, Airflow, Docker, Kubernetes
- LLMOps tools: LangChain, LlamaIndex, RAG pipelines, FAISS, Pinecone
- Integration experience with OpenAI, Hugging Face, or other LLM APIs
- Familiarity with CI/CD tools (GitHub Actions, Jenkins)
· Design, develop, and implement AI/ML models and algorithms.
· Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.
· Write clean, efficient, and well-documented code.
· Collaborate with data engineers to ensure data quality and availability for model training and evaluation.
· Work closely with senior team members to understand project requirements and contribute to technical solutions.
· Troubleshoot and debug AI/ML models and applications.
· Stay up-to-date with the latest advancements in AI/ML.
· Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.
· Develop and deploy AI solutions on Google Cloud Platform (GCP).
· Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.
· Utilize Vertex AI for model training, deployment, and management.
· Integrate and leverage Google Gemini for specific AI functionalities.
Qualifications:
· Bachelor’s degree in computer science, Artificial Intelligence, or a related field.
· 3+ years of experience in developing and implementing AI/ML models.
· Strong programming skills in Python.
· Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
· Good understanding of machine learning concepts and techniques.
· Ability to work independently and as part of a team.
· Strong problem-solving skills.
· Good communication skills.
· Experience with Google Cloud Platform (GCP) is preferred.
· Familiarity with Vertex AI is a plus.
• Minimum 4+ years of years
• Experience in designing, developing, and maintain backend services using C# 12 and .NET 8 or .NET 9
• Experience in building and operating cloud native and serverless applications on AWS
• Experience in developing and integrating services using AWS lambda, API Gateway , dynamo DB, Eventbridge, CloudWatch, SQS, SNS, Kinesis, Secret Manager, S3 storage, server architectural models etc.
Experience in integrating services using AWS SDK
• Should be cognizant of the OMS paradigms including Inventory Management, Inventory publish, supply feed processing, control mechanisms, ATP publish, Order Orchestration, workflow set up and customizations, integrations with tax, AVS, payment engines, sourcing algorithms and managing reservations with back orders, schedule mechanisms, flash sales management etc.
• Should have a decent End to End knowledge of various Commerce subsystems which include Storefront, Core Commerce back end, Post Purchase processing, OMS, Store / Warehouse Management processes, Supply Chain and Logistic processes. This is to ascertain candidates knowhow on the overall Retail landscape of any customer.
• Strong knowledge in Querying in Oracle DB and SQL Server
• Able to read, write and manage PLSQL procedures in oracle.
• Strong debugging, performance tuning and problem solving skills
• Experience with event driven and micro services architectures
Good knowledge of Python frameworks such as Django, CherryPy, etc.
Good understanding of REST API
Experience with JavaScript, jQuery, HTML and CSS
Build back-end features in Python that are efficient.
Integrate front-end and back-end components into the application
Develop integrations with third party applications (mostly web-based).
Working Knowledge of SQL and databases.
Bachelor’s Degree in Computer Science Engineering or other related fields.
Understand the needs of the client and Implement functional requirements accordingly.
Agile development methodology
Good communication (verbal and written)
- Work on a chatbot framework/architecture using an open-source tool or library
- Implement Natural Language Processing (NLP) for chatbots
- Integration of chatbots with Management Dashboards and CRMs
- Resolve complex technical design issues by analyzing the logs, debugging code, and identifying technical issues/challenges/bugs in the process
- Deploy applications using CI/CD tools
- Designing and building highly scalable AI and ML solutions
- Ability to understand business requirements and translate them into technical requirements
- Open-minded, flexible, and willing to adapt to changing situations
- Ability to work independently as well as on a team and learn from colleagues
- High adaptability in a dynamic start-up environment.
- Experience with bot multi-lingual utilization (preferred)
- Experience with bot human escalation
- Ability to optimize applications for maximum speed and scalability
- Come up with new approaches and ideas to improve the current performance of Chatbots across multiple domains and build a highly personalized user experience.
QUALIFICATIONS : B. Tech/ B.E. /M. Tech or a related technical discipline from reputed universities
SKILLS REQUIRED :
- Minimum 3+ years- of experience in Chatbot Development using the Rasa open-source framework.
- Hands-on experience building and deploying chatbots.
- Experience in Conversational AI platforms for enterprises using ML and Deep Learning.
- Experience with both text to speech and vice versa transformation incorporation.
- Should have a good understanding of various Chatbot frameworks/platforms/libraries.
- Build and evolve/train the NLP platform from natural language text data being gathered from users on a daily basis.
- Code using primarily Python.
- Experience with bots for platforms like Facebook Messenger, Slack, Twitter, WhatsApp, etc.
- Knowledge of digital assistants such as Amazon Alexa, Google Assistant, etc.
- Experience in applying different NLP techniques to problems such as text. classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning
- Techniques - NLP Skills/Tools: NLP, HMM, MEMM, P/LSA, CRF, LDA, Semantic Hashing, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, Core NLP, NLU, NLG, etc.
- Should be familiar with these terms: Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context.
- Knowledge of SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL
- Experience with working on public cloud services such as Digital Ocean, AWS, Azure, or GCP.
- Knowledge of Linux shell commands.
- Integration with Chat/Social software like Facebook Messenger, Twitter, SMS.
- Integration with Enterprise systems like Microsoft Dynamics CRM, Salesforce, Zendesk, Zoho, etc.
MUST HAVE :
- Strong foundation in the python programming language.
- Experience with various chatbot frameworks especially Rasa and Dialogflow.
- Strong understanding of other AI tools and applications like TensorFlow, Spacy, and Google Cloud ML is a BIG plus.
- Experience with RESTful services.
- Good understanding of HTTPS and Enterprise security.
• 3+ Years of experience as a Go Developer
• Experience in ReactJS (most preferred) or AngularJS similar front end frameworks
• Experience with the Python or/and Golang (preferably both), SQL, and design/architectural
patterns
• Experience in Java or dotnet or other opensource technologies is an added advantage
• Hands-on experience on SQL, Query optimization, DB server migration
• Preferably experience in Postgre SQL or MySQL
• Knowledge of NOSQL databases will be an added advantage
• Experience in Cloud platforms like AWS, Azure with knowledge of containerization, Kubernetes is an
added advantage
• Knowledge of one or more programming languages along with HTML5/CSS3,Bootstrap
• Familiarity with architecture styles/APIs (REST, RPC)
• Understanding of Agile methodologies
• Experience with Threading, Multithreading and pipelines
• Experience in creating RESTful API’s With Golang or Python or Java in JSON, XMLs
• Experience with GitHub, Tortoise SVN Version Control
• Strong attention to detail
• Strong knowledge of asynchronous programming with the latest frameworks
• Excellent troubleshooting and communication skills
• Strong knowledge of unit testing frameworks
• Proven knowledge of ORM techniques
• Skill for writing reusable libraries Understanding of fundamental design principles for building a scalable
applicatio
You will get to own and build world-class, stable, secure and scalable solutions
Ownership, trust and flexibility comes with the job and you are expected to consistently raise the bar in terms of technical proficiency and quality of code.
You will get to work with a highly experienced team in a very informal, yet results-oriented environment
You should think consumer-first and have the ability to work in a dynamic and fast-paced environment
You will actively participate in defining stable and scalable engineering processes to meet the demands of a fast growing team.
3+ years hands-on application development experience in Python, Django, Flask & NodeJS
Highly proficient in SQL and NoSQL databases and Redis.
Should have a strong hands-on working knowledge on AWS services like EC2, S3, Route53, SES, SQS, SNS etc.
Should have successfully built and deployed complex and resource efficient backend APIs that work flawlessly at scale
Should be willing to take on responsibility and ownership and should be highly motivated and fun to work with :)
Experience in working at fast-paced startups is a big plus!
If you have the knowledge, experience and hunger to make a positive impact, we’d love to meet you.









