UI/UX Designer

Strong Senior GenAI / AI Backend Engineer Profiles

Mandatory (Experience 1) – Must have 4+ years of total software development experience, with at least 2+ years working on AI/LLM-based features in production

Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems

Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects

Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines

Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases

Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)

Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation

Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects

Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations

Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking

Mandatory (Company) – Product companies / startups, preferably Series A to Series D

Mandatory (Note) - Candidate's overall experience should not be more than 7 Yrs

Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks

Mandatory (Exclusion) – Reject profiles that are only Prompt Engineers, Data Scientists, or Frontend Engineers without strong backend + system building experience

• Sr. Solution Architect 
• Job Location – Bangalore
• Need candidates who can join in 15 days or less.
• Overall, 12-15 years of experience.

Looking for this tech stack in a Sr. Solution Architect (who also has a Delivery Manager background). Someone who has heavy business and IT stakeholder collaboration and negotiation skills, someone who can provide thought leadership, collaborate in the development of Product roadmaps, influence decisions, negotiate effectively with business and IT stakeholders, etc.

• Building data pipelines using Azure data tools and services (Azure Data Factory, Azure Databricks, Azure Function, Spark, Azure Blob/ADLS, Azure SQL, Snowflake..)
• Administration of cloud infrastructure in public clouds such as Azure
• Monitoring cloud infrastructure, applications, big data pipelines and ETL workflows
• Managing outages, customer escalations, crisis management, and other similar circumstances.
• Understanding of DevOps tools and environments like Azure DevOps, Jenkins, Git, Ansible, Terraform.
• SQL, Spark SQL, Python, PySpark
• Familiarity with agile software delivery methodologies
• Proven experience collaborating with global Product Team members, including Business Stakeholders located in NA

RESPONSIBILITIES:

• You will be involved in directly driving application of machine learning and AI to solve various product and business problems including ML model lifecycle management with ideation, experimentation, implementation, and maintenance.

• Your responsibilities will include enabling the team in moving forward with ML/AI solutions to optimise various components across our music streaming platforms.

• Your work would be impacting millions of users the way they consume music and podcasts, it would involve solving cold start problems, understanding user personas, optimising ranking and improving recommendations for serving relevant content to users.

• We are looking for a seasoned engineer to orchestrate our recommendations and discovery projects and also be involved in tech management within the team.

• The team of talented, passionate people in which you’ll work will include ML engineers and data scientists.

• You’ll be reporting directly to the head of the engineering and will be

instrumental in discussing and explaining the progress to top management and other stake holders.

• You’ll be expected to have regular conversations with product leads and other engineering leads to understand the requirements, and also similar and more frequent conversation with your own team.

REQUIREMENTS:

• A machine learning software engineer with a passion for working on exciting, user impacting product and business problems

• Stay updated with latest research in machine learning esp. recommender systems and audio signals

• Have taken scalable ML services to production, maintained and managed their lifecycle

• Good understanding of foundational mathematics associated with machine learning such as statistics, linear algebra, optimization, probabilistic models

Minimum Qualifications

• 13+ years of industry experience doing applied machine learning

• 5+ years of experience in tech team management

• Fluent in one or more object oriented languages like Python, C++, Java

• Knowledgeable about core CS concepts such as common data structures an algorithms

• Comfortable conducting design and code reviews

• Comfortable in formalising a product or business problem as a ML problem

• Master’s or PhD degree in Computer Science, Mathematics or related field

• Industry experience with large scale recommendation and ranking systems

• Experience in managing team of 10-15 engineers

• Hands on experience with Spark, Hive, Flask, Tensorflow, XGBoost, Airflow

Job Description:

We are looking for a dedicated and enthusiastic Customer Support Executive / Customer Service Representative to join our team. The ideal candidate should be passionate about customer service, possess strong communication skills, and have a keen eye for detail. Whether you're a seasoned professional or a fresh graduate eager to jumpstart your career, we welcome you to apply!

Key Responsibilities:

📞 Customer Support:

👉🏻 Provide exceptional customer service through email, WhatsApp, calls, and chatbots.

👉🏻 Address and resolve customer inquiries and complaints regarding products and dispatch.

👉🏻 Assist customers with product information, order status, and other related queries.

📲 Communication:

👉🏻 Maintain positive and professional behavior with customers at all times.

👉🏻 Respond promptly to customer queries and ensure all interactions are recorded accurately.

👉🏻 Use multiple communication channels (Mail/WhatsApp/Call/Bot) to manage customer interactions.

😇 Issue Resolution:

👉🏻 Identify and resolve customer issues efficiently.

👉🏻 Escalate complex issues to the appropriate departments when necessary.

👉🏻 Follow up with customers to ensure their concerns are resolved satisfactorily.

🛒 Order Management:

👉🏻 Assist customers with order placements, modifications, and cancellations.

👉🏻 Coordinate with the dispatch team to track orders and provide updates to customers.

👉🏻 Handle product returns, exchanges, and refunds as per company policies.

✍🏻 Product Knowledge:

👉🏻 Maintain in-depth knowledge of Right Human Nutrition’s products and services.

👉🏻 Provide accurate information to customers about product features, benefits, and usage.

Requirements:

🖥 Technical Skills:

👉🏻 Familiarity with customer service tools and software.

👉🏻 Basic knowledge of CRM systems.

👉🏻 Proficiency in using communication tools like email, WhatsApp, and call systems.

👩‍💼Experience:

👉🏻 Minimum of 1-2 years of experience in customer service or support roles (preferred).

👉🏻 Experience in handling customer queries through multiple channels (Mail/WhatsApp/Call/Bot).

👨‍💼Personal Attributes:

👉🏻 Strong problem-solving skills.

👉🏻 Ability to work independently and as part of a team.

👉🏻 High level of integrity and professionalism.

👉🏻 Patience and empathy in dealing with customer concerns.

How to Apply:

Please fill this form to apply for the job: https://forms.gle/4twmj2jd1iVuyoTc8 

We look forward to welcoming a new member to our dynamic team!

Job Description:

• Develop business plans and manage partnerships to offer value added services for Prepaid card users.
• Compare with competition, keep track and maintain competitive track sheet.
• Brings strategic tie-ups which can aligned with card offerings.
• Building relationships with affiliates & partners for more business, better placements & visibility.
• Managing end-to-end promotions & offer execution for partner sale events- Festive campaigns, OEM launches.

1. Create and maintain optimal data pipeline architecture
2. Assemble large, complex data sets that meet business requirements
3. Identifying, designing, and implementing internal process improvements including redesigning infrastructure for greater scalability, optimizing data delivery, and automating manual processes
4. Work with Data, Analytics & Tech team to extract, arrange and analyze data
5. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
6. Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
7. Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
8. Working with stakeholders including data, design, product, and executive teams, and assisting them with data-related technical issues
9. Working with stakeholders including the Executive, Product, Data, and Design teams to support their data infrastructure needs while assisting with data-related technical issues.

1. SQL
2. Ruby or Python(Ruby preferred)
3. Apache-Hadoop based analytics
4. Data warehousing
5. Data architecture
6. Schema design
7. ML

1.  Prior experience of 2 to 5 years as a Data Engineer.
2. Ability in managing and communicating data warehouse plans to internal teams.
3. Experience designing, building, and maintaining data processing systems.
4. Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions.
5. Excellent analytic skills associated with working on unstructured datasets.
6. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata.

• 3-4 years of experience in IT with 3 +minimum years of experience in React Development
• Previous experience working as a react.js developer.
• In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
• Knowledge of REACT tools including React.js, Enzyme, Redux, and Flux.
• Experience with user interface design.
• Knowledge of performance testing frameworks including Mocha and Jest.
• Experience with browser-based debugging and performance testing software.
• Excellent troubleshooting skills.
• Solid analytical and problem-solving skills.
• Strong interpersonal, written and verbal communication skills.
• Experience with gathering user requirements and understanding and interpreting requirements specifications
• Experience with full System Development Life Cycle is a plus
• Maintain time reporting on projects and provide timely updates to project milestones.

The ideal candidate will be responsible for developing high-quality applications. They will also be responsible for designing and implementing testable and scalable code.

Responsibilities :

• Work with development teams and product managers to ideate software solutions

• Maintenance of Node.js Backend

• Working with MongoDB to create various features

• Troubleshoot, debug and upgrade software

• Create security and data protection settings Requirements

• Proven experience as a backend developer in Node.js or similar role

• Experience developing desktop and mobile applications

• Familiarity with common stacks

Requirements :

• Hands on experience building end to end systems

• Minimum 1 yrs of experience with Javascript, Node.js and Mongo.DB

• Good architectural & design skills

• Strong coding, data structures and algorithms

• The ability to own end to end responsibility - right from requirement to release

• The ability to produce bug-free and production grade code

• Experience and fine understanding of cross browser front end development issues

• Exhibit a deep understanding of server virtualization, networking and storage ensuring that the solution scales and performs with high availability and uptime