
Requirements:
• Should be a go-getter, ready to shoulder more responsibilities, and shows enthusiasm and interest in work.
• Excellent core Python skills including threading, dictionary, OOPS Concept, Data structure, and Web service.
• Should have work experience on the following stacks/libraries: Flask
• Familiarity with some ORM (Object Relational Mapper) libraries
• Able to integrate multiple data sources and databases into one system
• Understanding of the threading limitations of Python, and multi-process architecture Familiarity with event-driven programming in Python
• Basic understanding of front-end technologies, such as Angular, JavaScript, HTML5 and CSS3
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Understanding of accessibility and security compliance
• Experience in both RDBMS(MySQL), NoSQL databases (MongoDB, HDFS, HIVE etc) or in-memory caching technologies such as ehcache etc is preferable.

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Specific Knowledge/Skills
- 4-6 years of experience
- Proficiency in Python programming.
- Basic knowledge of front-end development.
- Basic knowledge of Data manipulation and analysis libraries
- Code versioning and collaboration. (Git)
- Knowledge for Libraries for extracting data from websites.
- Knowledge of SQL and NoSQL databases
- Familiarity with RESTful APIs
- Familiarity with Cloud (Azure /AWS) technologies
Role Overview
We are seeking a Junior Developer with 1-3 year’s experience with strong foundations in Python, databases, and AI technologies. The ideal candidate will support the development of AI-powered solutions, focusing on LLM integration, prompt engineering, and database-driven workflows. This is a hands-on role with opportunities to learn and grow into advanced AI engineering responsibilities.
Key Responsibilities
- Develop, test, and maintain Python-based applications and APIs.
- Design and optimize prompts for Large Language Models (LLMs) to improve accuracy and performance.
- Work with JSON-based data structures for request/response handling.
- Integrate and manage PostgreSQL (pgSQL) databases, including writing queries and handling data pipelines.
- Collaborate with the product and AI teams to implement new features.
- Debug, troubleshoot, and optimize performance of applications and workflows.
- Stay updated on advancements in LLMs, AI frameworks, and generative AI tools.
Required Skills & Qualifications
- Strong knowledge of Python (scripting, APIs, data handling).
- Basic understanding of Large Language Models (LLMs) and prompt engineering techniques.
- Experience with JSON data parsing and transformations.
- Familiarity with PostgreSQL or other relational databases.
- Ability to write clean, maintainable, and well-documented code.
- Strong problem-solving skills and eagerness to learn.
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
Nice-to-Have (Preferred)
- Exposure to AI/ML frameworks (e.g., LangChain, Hugging Face, OpenAI APIs).
- Experience working in startups or fast-paced environments.
- Familiarity with version control (Git/GitHub) and cloud platforms (AWS, GCP, or Azure).
What We Offer
- Opportunity to work on cutting-edge AI applications in permitting & compliance.
- Collaborative, growth-focused, and innovation-driven work culture.
- Mentorship and learning opportunities in AI/LLM development.
- Competitive compensation with performance-based growth.
Job Description
Roles and Responsibilities
· Design, Code, test, debug, implement and document complex WSO2 sequences.
· Monitoring and logging tool stacks - Splunk/ELK/Prometheus, Grafana 4 Design, Code, test, debug, implement and document complex WSO2 sequences.
· Perform Build activities for WSO2 ESB Middleware integration, involves writing XSLT, ESB coding, configuration, and Analysis activities.
· Trouble shooting various problems in different stages of development using logs files, Traces and Log Analyzer.
· Responsible for understanding the requirement, solution design, coordinate the development and testing activities (end to end)
· Guide the team regarding WSO2 platform best practices, framework, reusable artefacts and ensure code quality and timely deliverables.
· Work with functional and technical customers to determine solutions that drive additional business value.
· Work with Github, Azure Devops and CI tools to automate dev, build, deployment and testing.
· Good knowledge in messaging brokers: WSO2 Message Broker, Apache Kafka.
· Monitoring the server (Monitoring logs and WSO2 metrics).
· Desired Candidate Profile
Desired Candidate Profile
· Candidate must have minimum 2+ years of hands-on experience in WSO2, preferably with WSO2 certification.
· Extensive experience in Integration by using WSO2 Product Stack (API Manager 2.6/3.x, Enterprise Integrator 6.5 and Identity Server 5.7.0)
· Experience in Implementing APIs in WSO2 EI and On-boarding APIs into WSO2 API Manager
· Experience in WSO2 API Manager for designing API facades and designing and implementing API Proxies.
· Hands-on experience in designing and developing high volume web services using API Protocols and Data Formats (REST, JSON, SOAP & XML).
· Must have hands on experience / knowledge with CI tools to automate dev, build, deploy.
· Experience in programming languages: Java, JavaScript, Python
· Experience in on boarding web applications into WSO2 Identity Server for authentication and authorizatio
Qualifications
• Minimum of a Bachelor's or Master’s degree in Computer Science, or a related four-year degree.
• 4 years of hands on experience in Integration
Minimum Qualifications:
5+ years of experience with Linux/Unix system administration and networking fundamentals 3+ years in a Software Engineering role or equivalent experience
4+ years of working with AWS
4+ years of experience working with Kubernetes, Docker.
Strong skills in reading code as well as writing clean, maintainable, and scalable code
Good knowledge of Python
Experience designing, building, and maintaining scalable services and/or service-oriented architecture Experience with high-availability
Experience with modern configuration management tools (e.g. Ansible/AWX, Chef, Puppet, Pulumi) and idempotency
Bonus Requirements:
Knowledge of standard security practices
Knowledge of the Hadoop ecosystem (e.g. Hadoop, Hive, Presto) including deployment, scaling, and maintenance Experience with operating and maintaining VPN/SSH/ZeroTrust access infrastructure Experience with CDNs such as CloudFront and Akamai
Good knowledge of Javascript, Java, Golang
Job Responsibilities:
- Design, test, and build scalable backend python services
- Closely collaborate with marketing and product teams to build innovative, robust and easy-to-use features that serve.
- Developing high quality code based on detailed designs that cater to the product requirements.
- Responsible for troubleshooting, testing and maintaining the core product software and databases to ensure strong optimisation and functionality
Required Skills:
- Degree in Computer Science, Software Engineering or equivalent.
- Minimum 3+ years experience in software development.
- Expertise in Python 3.7, Django 2.2+ and REST APIs.
- Willingness to learn and ability to flourish in a dynamic, high-growth, entrepreneurial environment
- Hands-on, self-starter, capable of working independently
- True love for technology and what you do
- Maniacal attention to detail
Your responsibilities as a backend engineer will include:
- Back-end software development
- Software engineering and designing data models and write effective APIs
- Working together with engineers and product teams
- Understanding business use cases and requirements for different internal teams
- Maintenance of existing projects and New feature development
- Consume and integrate classifier/ ML snippets from Data science team
What we are looking for:
- 4+ years of industry experience with the Python and Django framework.
- Degree in Computer Science or related field
- Good analytical skills with strong fundamentals of data structures and algorithms
- Experience building backend services with hands-on experience through all stages of Agile software development life cycle.
- Ability to write optimized codes,debug programs, and integrate applications with third party tools by developing various APIs
- Experience with Databases (Relational and Non-Relational). Ex: Cassandra, MongoDB, Postgresql
- Experience with writing REST-APIs.
- Prototyping initial collection and leveraging existing tools and/or creating new tools
- Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
- Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
- A positive attitude, and a growth mindset
Bonus:
- Experience with relevant Python libraries such as Sklearn, NLTK, tensorflow, HuggingFace Transformers
- Hands on experience in Machine learning implementations
- Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
- Good with Humor and Team player
- 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.









