Senior Backend Developer

Job Title : SDE 2 – Node.js (Zendesk)

Experience : 8 to 12 Years

Location : Bengaluru (Tesco Main Campus, Whitefield)

Work Mode : Hybrid (3 Days Work From Office)

Employment Type : Contract to Hire (1 Year+ Project)

Open Positions : 2

Notice Period : Immediate / Serving Notice / Max 20 Days Joiners Preferred

Role Overview :

We are looking for an experienced SDE 2 – Node.js professional with strong expertise in backend development, API integrations, and web technologies. The ideal candidate should be skilled in building scalable applications and working within Agile environments.

Mandatory Skills :

Node.js, JavaScript, HTML/CSS, jQuery, API & Middleware Integration, Full Stack Development, Agile (Scrum/Kanban)

Key Responsibilities :

• Design, develop, and maintain scalable applications using Node.js and JavaScript.
• Build and manage system integrations using APIs and middleware.
• Work on frontend technologies such as HTML, CSS, and jQuery.
• Collaborate with cross-functional teams in Scrum/Kanban environments.
• Deliver high-quality, maintainable, and efficient code.
• Quickly adapt to new technologies and business requirements.

Required Skills :

• 8+ years of software development experience.
• Strong expertise in Node.js and JavaScript.
• Experience with HTML, CSS, and jQuery.
• Hands-on experience with API integration and middleware solutions.
• Exposure to Agile methodologies (Scrum/Kanban).
• Strong problem-solving and communication skills.

Good to Have :

• Experience with Zendesk or similar tools such as Freshdesk, ServiceNow, Salesforce Service Cloud, or HubSpot

Interview Process :

• L1 : Technical Assessment (via Barraiser/Intervue)
• L2 & Further Rounds : Client technical discussions (2+ rounds expected)

Job Title: AI Engineer - NLP/LLM Data Product Engineer Location: Chennai, TN- Hybrid

Duration: Full time

Job Summary:

About the Role:

We are growing our Data Science and Data Engineering team and are looking for an

experienced AI Engineer specializing in creating GenAI LLM solutions. This position involves collaborating with clients and their teams, discovering gaps for automation using AI, designing customized AI solutions, and implementing technologies to streamline data entry processes within the healthcare sector.

Responsibilities:

·        Conduct detailed consultations with clients functional teams to understand client requirements, one use case is related to handwritten medical records.

·        Analyze existing data entry workflows and propose automation opportunities.

Design:

·        Design tailored AI-driven solutions for the extraction and digitization of information from handwritten medical records.

·        Collaborate with clients to define project scopes and objectives.

Technology Selection:

·        Evaluate and recommend AI technologies, focusing on NLP, LLM and machine learning.

·        Ensure seamless integration with existing systems and workflows.

Prototyping and Testing:

·        Develop prototypes and proof-of-concept models to demonstrate the feasibility of proposed solutions.

·        Conduct rigorous testing to ensure accuracy and reliability.

Implementation and Integration:

·        Work closely with clients and IT teams to integrate AI solutions effectively.

·        Provide technical support during the implementation phase.

Training and Documentation:

·        Develop training materials for end-users and support staff.

·        Create comprehensive documentation for implemented solutions.

Continuous Improvement:

·        Monitor and optimize the performance of deployed solutions.

·        Identify opportunities for further automation and improvement.

Qualifications:

·        Advanced degree in Computer Science, Artificial Intelligence, or related field (Masters or PhD required).

·        Proven experience in developing and implementing AI solutions for data entry automation.

·        Expertise in NLP, LLM and other machine-learning techniques.

·        Strong programming skills, especially in Python.

·        Familiarity with healthcare data privacy and regulatory requirements.

Additional Qualifications( great to have):

An ideal candidate will have expertise in the most current LLM/NLP models, particularly in the extraction of data from clinical reports, lab reports, and radiology reports. The ideal candidate should have a deep understanding of EMR/EHR applications and patient-related data.

Requirements:

• Should be a go-getter, ready to shoulder more responsibilities, shows enthusiasm and interest in work.
• Excellent core Python skills including threading, dictionary, OOPS Concept, Data structure, Web service.
• Should have work experience on 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

• Expertise with NodeJS (extensively using ExpressJS) and databases like MongoDB or MySQL
• Comfortable with developing MVC architecture-based code
• Skilled in implementing security features across the applications and components
• Skilled with code optimization techniques
• Strong troubleshooting techniques
• Strong defect resolution process for minimized latency
• Familiarity with confluence management like JIRA/Trello/Youtrack

• Networking fundamentals, prior working experience in network technologies and protocols
• Tools usage - Code quality, Memory/CPU profiling tools
• Ability to build supportability features to reduce the defects in software components
• Knowledge of GNU tools, revision control software (SVN, Git, etc.) and development lifecycle, docker container usage and LDAP is a plus

• 0-3 application development experience in solution building on Blockchain technology.
• Solid understanding of and experience in blockchain / distributed ledger technologies familiarity with platforms, such as Ethereum and Hyperledger.
• Any additional expertise with Python, containerization (Docker) and additional Cloud exposure also a huge plus
• Security Architecture / Cryptography is a plus.
• Any additional expertise with Python, containerization (Docker) and additional Cloud exposure also a huge plus.
• Experience on development tools such as Hyperledger Fabric/Sawtooth,Geth , Composer, Solidity Remix Functional
• Basic understanding of Web applications architecture and protocols.