Data Science

Who We Are:

QuitSure, a digital therapeutic, is the no.1 quit smoking app in the world, with over 3 million downloads. Its program has the highest quit rate (71%) for smoking based on the clinical trials. We are founded by alumni of IIT, IIM, and Stanford University. Our mission is to get 1 million smokers smoke-free in the next one year. Do take a look at our website: https://www.quitsure.app to learn more about what we do and how it works. We are well funded, and based in Mumbai. This is a remote job.

Here is a brief presentation with an overview about QuitSure. Please navigate to the link to know more about us: QuitSure Overview

How to Apply:

Please fill out and submit this form to officially apply for this role:

https://forms.gle/uHM4svuS17sMPXsq8 

About the Role

We are looking for a highly skilled AEO (Answer Engine Optimization) / Geo Consultant with a deep understanding of Semantic SEO, entity-based optimization, and LLM-oriented content structuring. If you’re someone who understands how search engines and modern AI models interpret, associate, and recommend brands—especially in sensitive YMYL spaces—this role is for you.

You will play a key role in strengthening QuitSure’s authority as a global leader in smoking cessation, ensuring that both search engines and large language models recognize, retrieve, and recommend our content accurately and consistently.

What You Will Do

1. Entity Management & Knowledge Graph Optimization

• Strengthen the association between QuitSure and Smoking Cessation Authority across Google’s Knowledge Graph and other semantic databases.
• Build, refine, and optimize entity relationships to improve brand visibility and trust signals across AI and search ecosystems.
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2. Content Re-Architecture for LLM Citability

• Conduct deep audits of existing websites and knowledge content.
• Restructure and rewrite pillars/clusters to maximize “citability” for LLMs, optimizing for RAG (Retrieval-Augmented Generation) systems.
• Ensure content is authoritative, structured, and contextually rich for AI retrieval.
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3. Co-Occurrence & Entity Co-Mention Strategy

• Develop strategies to increase brand co-occurrence with top-tier medical, scientific, and clinical entities across the web.
• Identify opportunities for authoritative contextual mentions in trusted sources, databases, and semantic environments.
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4. Measurement & Reporting

• Build frameworks and dashboards to measure.
• AI-driven brand mentions
• AI recommendation frequency
• Sentiment associated with QuitSure in LLM-generated responses
• Use these insights to guide ongoing optimization and authority-building.
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Requirements

Must-Have Experience

• 3+ years of hands-on SEO experience with a clear transition from keyword-based SEO to Semantic SEO, Entity Optimization, and Answer Engine Optimization.
• Demonstrated expertise in building and optimizing entities using Schema.org, structured data layers, and linked data—not just basic schema markup.
• Strong understanding of how LLMs process, retrieve, and synthesize information, including embeddings, RAG systems, semantic clustering, and context windows.
• Experience working in YMYL (Your Money, Your Life) categories, especially Health & Wellness.
• Understanding of how to build credibility, safety, and authority in YMYL content without triggering AI safety warnings or refusals.
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Preferred Skills

• Experience with tools like InLinks, WordLift, Kalicube, or other entity-based SEO platforms.
• Knowledge of E-E-A-T frameworks and medical content compliance.
• Familiarity with NLP techniques (co-occurrence analysis, topic clustering, entity salience scoring).
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Who We’re Looking For

You are someone who:

• Thinks beyond search engines—towards AI engines.
• Understands that modern SEO is about systems thinking, semantic alignment, and authoritative presence across the web.
• Is excited about shaping how AI models perceive, cite, and recommend QuitSure as a global thought leader in smoking cessation.
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What We Offer

• Competitive salary
• Flexible working arrangements
• Opportunity to work on innovative and impact driven products
• Directly working with founders

Looking forward to connecting with you. Hope you are excited about being part of this high-impact organisation.

Job Title: AI/ML Engineer (LLMs, RAG & Agent Systems)

Location: Bangalore, India (On-site)

Type: Full-time

About the Role

As an AI/ML Engineer, you’ll be part of a small, fast-moving team focused on developing LLM-powered agentic systems that drive our next generation of AI products.

You’ll work on designing, implementing, and optimizing pipelines involving retrieval-augmented generation (RAG), multi-agent coordination, and tool-using AI systems.

Responsibilities

• Design and implement components for LLM-based systems (retrievers, planners, memory, evaluators).
• Build and maintain RAG pipelines using vector databases and embedding models.
• Experiment with reasoning frameworks like ReAct, Tree of Thought, and Reflexion.
• Collaborate with backend and infra teams to deploy and optimize agentic applications.
• Research and experiment with open-source LLM frameworks to identify best-fit architectures.
• Contribute to internal tools for evaluation, benchmarking, and scaling AI agents.

Required Skills

• Strong foundation in ML/DL theory and implementation (PyTorch preferred).
• Understanding of transformer architectures, embeddings, and LLM mechanics.
• Practical exposure to prompt engineering, tool calling, and structured output design.
• Experience in Python, Git/GitHub, and data processing pipelines.
• Familiarity with RAG systems, vector databases, and API-based model inference.
• Ability to write clean, modular, and reproducible code.

Preferred Skills

• Experience with LangChain, LangGraph, Autogen, or CrewAI.
• Hands-on with Hugging Face ecosystem (transformers, datasets, etc.).
• Working knowledge of Redis, PostgreSQL, or MongoDB.
• Experience with Docker and deployment workflows.
• Familiarity with OpenAI, Anthropic, vLLM, or Ollama inference APIs.
• Exposure to MLOps concepts like CI/CD, model versioning, or cloud (AWS/GCP/Azure).

What We Value

• Deep understanding of core principles over surface-level familiarity with tools.
• Ability to think like a researcher and execute like an engineer.
• Collaborative mindset, building together, learning together.

Job Title: Project cum Sales (Techno-Commercial) – ALC Wall Panels

Experience: Minimum 5 years in ALC wall panels or related industry

Location: Bangalore / Hyderabad / Chennai

Salary: Up to ₹10 LPA (based on experience and fit)

Industry: Building Materials / Construction / Precast Panels

Job Overview:

We are looking for a dynamic and experienced Techno-Commercial Professional to handle project coordination and sales for ALC Wall Panels. The ideal candidate should possess strong technical knowledge of wall panel systems, a proven sales track record, and hands-on project execution experience in the construction or precast industry.

Key Responsibilities:

Sales & Business Development

• Identify and generate business opportunities in residential, commercial, and industrial construction sectors.
• Develop and maintain relationships with architects, builders, contractors, and consultants.
• Conduct product presentations and site demos.
• Prepare and deliver techno-commercial proposals and quotations.
• Drive sales targets and market penetration across assigned regions.

Project Coordination & Execution

• Coordinate end-to-end execution of ALC panel projects: planning, site supervision, installation, and quality control.
• Act as a liaison between the client, design team, and site team to ensure timely execution.
• Manage logistics, delivery schedules, and manpower coordination.
• Provide on-site technical support and resolve issues during installation.

Techno-Commercial Responsibilities

• Evaluate client requirements and offer optimal technical solutions.
• Prepare BOQs, project estimates, and cost sheets.
• Negotiate contracts, payment terms, and commercial agreements.
• Monitor receivables and ensure timely collections.

Key Requirements:

• Bachelor’s degree/Diploma in Civil Engineering or related field.
• Minimum 5 years of experience in ALC wall panels or precast wall panel industry.
• Strong knowledge of construction practices, site execution, and building material sales.
• Excellent communication, presentation, and negotiation skills.
• Willingness to travel within South India as per project and client needs.
• Proficient in MS Office, AutoCAD (basic), and project tracking tools.

mail updated resume with current salary-

email: etalenthire[at]gmail[dot]com

satish: 88 O2 74 97 43

• Expert understanding of On-page and Off-page SEO

• Perform keyword research in coordination with company’s business objectives to optimize existing content and uncover new opportunities

• Provide SEO analysis and recommendations in coordination with elements and structure of websites and web pages

• Provide recommendations and execute/manage strategies for content development in coordination with SEO goals – general and keyword specific

• Develop and implement link building campaigns

• Implement and administer search engine programs (XML sitemaps, shopping feeds, webmaster tools)

• Monitor and evaluate web analytics dashboards and reports in order to develop and recommend SEO strategies

• Track, report, and analyze website analytics and PPC initiatives and campaigns.

• Experience in Search Engine Marketing (SEM) and Paid Search (PPC).

• Perform ongoing keyword discovery, expansion and optimization.

• Research and analyze competitor advertising

JioTesseract, a digital arm of Reliance Industries, is India's leading and largest AR/VR organization with the mission to democratize mixed reality for India and the world. We make products at the cross of hardware, software, content and services with focus on making India the leader in spatial computing. We specialize in creating solutions in AR, VR and AI, with some of our notable products such as JioGlass, JioDive, 360 Streaming, Metaverse, AR/VR headsets for consumers and enterprise space.

About the Job

As a Cloud Backend Engineer you will design, develop, and maintain scalable and reliable backend systems in cloud environments. You will be responsible for building cloud-native applications, optimizing backend performance, and ensuring seamless integration with frontend services and third-party systems.

What You’ll Be Doing

• Backend Development
• Design and implement scalable and high-performance backend services and APIs for cloud-based applications.
• Develop microservices architectures and serverless functions to support business needs.
• Ensure backend systems are secure, reliable, and performant, adhering to best practices and industry standards.
• Cloud Infrastructure and Deployment
• Build and manage cloud infrastructure using platforms such as AWS, Google Cloud Platform (GCP), or Azure.
• Deploy and maintain backend services using cloud-native technologies (e.g., Kubernetes, Docker, AWS Lambda, Google Cloud Functions).
• Implement and manage CI/CD pipelines to automate deployment processes and ensure smooth delivery of updates.
• Performance Optimization
• Monitor and optimize the performance of backend services, including database queries, API responses, and system throughput.
• Implement caching strategies, load balancing, and other performance-enhancing techniques to ensure scalability and responsiveness.
• Troubleshoot and resolve performance issues and system bottlenecks.
• Database Management
• Design and manage relational and NoSQL databases, ensuring data integrity, scalability, and performance.
• Implement data access patterns and optimize queries for efficient data retrieval and storage.
• Ensure backup, recovery, and data security practices are in place.
• Integration and Collaboration
• Collaborate with frontend developers, DevOps engineers, and other stakeholders to integrate backend services with frontend applications and third-party systems.
• Participate in architectural discussions and provide input on system design and technology choices.
• Ensure clear communication and documentation of backend services, APIs, and system interactions.
• Security and Compliance
• Implement security best practices to protect backend services from threats and vulnerabilities.
• Ensure compliance with relevant regulations and standards, including data privacy and protection requirements.
• Conduct regular security assessments and vulnerability scans to maintain system integrity.
• Testing and Quality Assurance
• Develop and maintain automated tests for backend services, including unit tests, integration tests, and end-to-end tests.
• Perform code reviews and participate in quality assurance processes to ensure high code quality and reliability.
• Monitor and address issues identified during testing and production deployments.
• Documentation and Knowledge Sharing
• Document backend services, APIs, and infrastructure setups to facilitate knowledge sharing and support.
• Create and maintain technical documentation, including architecture diagrams, API specifications, and deployment guides.
• Share knowledge and best practices with team members and contribute to a collaborative development environment.

What We Need To See

• Strong experience in backend development, cloud technologies, and distributed systems, with a focus on building robust, high-performance solutions.
• Minimum 5 years of experience in backend development, with a strong focus on cloud-based applications.
• Proven experience with cloud platforms (AWS, GCP, Azure) and cloud-native technologies.
• Experience in designing and implementing RESTful APIs, microservices, and serverless architectures.
• Technical Expertise in:

1. Backend Development

• Strong experience with backend programming languages such as Node.js, Python
• Expertise in working with frameworks such as NestJS, Express.js, or Django.

2. Microservices Architecture

• Experience designing and implementing microservices architectures.
• Knowledge of service discovery, API gateways, and distributed tracing.

3. API Development

• Proficiency in designing, building, and maintaining RESTful and GraphQL APIs.
• Experience with API security, rate limiting, and authentication mechanisms (e.g., JWT, OAuth).

4. Database Management

• Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g. MongoDB).
• Experience in database schema design, optimization, and management. 

5. Cloud Services

• Hands-on experience with cloud platforms such as Azure,AWS or Google Cloud.

6. Performance Optimization

• Experience with performance tuning and optimization of backend services.

7. Security

• Understanding of security best practices and experience implementing secure coding practices.
• Soft Skills:
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Ability to manage multiple priorities and work in a fast-paced, dynamic environment.

DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. There’s a massive opportunity to impact how software is built right from where the code is written using automation and intelligence, that not only improves developer productivity but also increases software’s robustness.

The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, PHP analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the community to understand the problems with static analysis tools in the PHP ecosystem.

• Identify bad code practices in PHP and write new rules to detect them.

• Improve the coverage of automatically fixable issues.

• Ensure fewer false positives are reported by the analyzer.

• Work on the internal tools that support analysis runtimes.

• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.

• At least 3 years of professional software development experience in PHP.

• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).

• Familiarity with PHP best practices followed in the industry.

• Native experience with Linux/Unix environment.

• A focus on delivering high-quality code through strong testing practices.

We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.