Senior Software Engineer

We are looking to expand our existing Python team across our offices in Surat. This position is for - Senior Software Engineer.

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.

Key Responsibilities

• Design and implement scalable, maintainable, and efficient Python applications
• Lead technical projects from conception to deployment
• Collaborate with cross-functional teams to define and implement new features
• Write clean, testable code with appropriate documentation
• Conduct code reviews and provide constructive feedback to team members
• Mentor junior developers and contribute to their professional growth
• Participate in technical architecture discussions and decision-making
• Troubleshoot and debug complex software issues
• Contribute to continuous improvement of development practices and processes
• Design and implement AI/ML solutions using LLMs and related technologies
• Optimize and maintain AI model deployment pipelines

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field
• 5+ years of professional software development experience
• Strong proficiency in Python and its ecosystem (Django/Flask, FastAPI)
• Experience with SQL and NoSQL databases
• Solid understanding of software design patterns and principles
• Experience with version control systems (Git)
• Strong knowledge of RESTful APIs and microservices architecture
• Proficiency in writing unit tests and understanding of TDD practices
• Experience with CI/CD pipelines and deployment automation
• Strong problem-solving and analytical skills

AI/ML Technical Skills

• Experience with LLM frameworks (LangChain, LlamaIndex)
• Knowledge of working with large language models (GPT, Claude, etc.)
• Understanding of prompt engineering and LLM fine-tuning concepts
• Experience with vector databases (Pinecone, Weaviate, or similar)
• Familiarity with AI model deployment and serving (BentoML, Ray Serve)
• Experience with machine learning libraries (PyTorch, TensorFlow, or similar)
• Knowledge of AI/ML observability and monitoring tools
• Understanding of AI safety practices and responsible AI development
• Experience with embedding models and semantic search implementations
• Familiarity with AI application development patterns and best practices

Prelude

We are BeyondScale, on a mission to build the mobile learning app to help organizations create internal courses for their workforce easily. eLearning is booming and we aim to tap into the under-served non-IT L&D market and make a difference in the livelihoods of millions of people.

We’re now looking for a passionate “Django Developer” who is willing to join us at an early stage and help us build a world-class product. 

Django Developer 

Job Description:

• 2+ years of experience coding with Python.
• Design, build, and maintain efficient, reusable, and reliable code.
• Eager and proactive to learn new technical skills.
• Hands-on experience in developing web APIs and writing database queries in PostgreSQL (MongoDB, MySQL and DynamoDB is a plus).
• Good understanding of OOPs, Multiprocessing and threading.
• Proficient in testing and debugging programs.
• Well-versed with Git and modern development workflow practices

GetSupp is looking for a Software Engineer to join its core team. You will be a key member of our team and will develop applications that help simplify a user's health discovery journey.

You will be responsible for the end-to-end development & execution of our core product offerings.

• Own & execute critical features end-to-end and work directly with the founding team to drive customer impact
• Ideate & help design features keeping in mind the scale and high availability of systems
• Develop, test and release schedule critical, high-quality features that will help build a polished product
• 2+ years of hands-on programming experience in Python language
• Experience with application development using Django or Flask
• Experience with MySQL / Postgres / NoSQL and hold a solid understanding of database design concepts
• Experience in API Design with REST & GraphQL
• Experience with caching methodologies using Memcached or Redis
• Experience with search technologies such as Elasticsearch, Lucene or Solr is a plus
• Experience with deployment and infra management using AWS, Azure or GCP is a plus
• A degree in Computer Science/Engineering or an equivalent degree

• Strong knowledge of Ruby on rails framework.
• Strong Knowledge of coding languages, like PERL, Python and Ruby.
• Good knowledge of Relation and NoSQL databases. like MySQL, Postgres, NoSQL etc.
• Knowledge of Microservices development and AWS concept will be an added advantage.
• Ready to adopt new technologies and implement them in project.

About the role

Checking quality is one of the most important tasks at Anakin. Our clients are pricing their products based on our data, and minor errors on our end can lead to our client's losses of millions of dollars. You would work with multiple tools and with people across various departments to ensure the accuracy of the data being crawled. You would setup manual and automated processes and make sure they run to ensure the highest possible data quality.

You are the engineer other engineers can count on. You embrace every problem with enthusiasm. You remove hurdles, are a self-starter, team player. You have the hunger to venture into unknown areas and make the system work.

Your Responsibilities would be to:

• Understand customer web scraping and data requirements; translate these into test approaches that include exploratory manual/visual testing and any additional automated tests deemed appropriate
• Take ownership of the end-to-end QA process in newly-started projects
• Draw conclusions about data quality by producing basic descriptive statistics, summaries, and visualisations
• Proactively suggest and take ownership of improvements to QA processes and methodologies by employing other technologies and tools, including but not limited to: browser add-ons, Excel add-ons, UI-based test automation tools etc.
• Ensure that project requirements are testable; work with project managers and/or clients to clarify ambiguities before QA begins
• Drive innovation and advanced validation and analytics techniques to ensure data quality for Anakin's customers
• Optimize data quality codebases and systems to monitor the Anakin family of app crawlers
• Configure and optimize the automated and manual testing and deployment systems used to check the quality of billions of data points of over 1000+ crawlers across the company
• Analyze data and bugs that require in-depth investigations
• Interface directly with external customers including managing relationships and steering requirements

Basic Qualifications:

• 2+ years of experience as a backend or a full-stack software engineer
• Web scraping experience with Python or Node.js
• 2+ years of experience with AWS services such as EC2, S3, Lambda, etc.
• Should have managed a team of software engineers
• Should be paranoid about data quality

Preferred Skills and Experience:

• Deep experience with network debugging across all OSI layers (Wireshark)
• Knowledge of networks or/and cybersecurity
• Broad understanding of the landscape of software engineering design patterns and principles
• Ability to work quickly and accurately in a highly stressful environment during removing bugs in run-time within minutes
• Excellent communicator, both written and verbal

Additional Requirements:

• Must be available to work extended hours and weekends when needed to meet critical deadlines
• Must have an aversion to politics and BS. Should let his/her work speak for him/her.
• Must be comfortable with uncertainty. In almost all the cases, your job will be to figure it out.
• Must not be bounded to comfort zone. Often, you will need to challenge yourself to go above and beyond.

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.