Inside Sales Executive

About Credilio

Founded by a bunch of serial entrepreneurs having fintech and banking experience, Credilio is building the next generation tech-enabled marketplace for financial products. While English-speaking literate India is adequately served by the banks, our focus is on the Bharat - i.e. the next 200 million middle and lower-middle-class Indians who are expected to fuel the demand for financial products.

We are looking for smart Full Stack Javascript Engineers who want to make a difference in the way people consume financial services in India.

Responsibilities

• Build reusable code and libraries for future use.
• Own & build new modules/features end-to-end independently.
• Collaborate with other team members and stakeholders.
• Work in an agile environment to rapidly build high quality and robust features.
• Proactively discover, evaluate, and implement new technologies to improve development efficiency.

Required Skills

• Master in Vue.js (Nuxt.js) and HTML/CSS.
• Hands-on with TypeScript will be a big plus.
• Hands-on with Tailwindcss will be a plus.
• Experience with modern JS toolchains such as Webpack, Grunt, Bower, and Yeoman.
• Understanding the nature of asynchronous programming and its quirks and workarounds.
• Open Source enthusiast.
• Comfortable with Test Driven Development.
• Can learn and adapt fast, as well as identifying and solving problems.
• Understanding of Git, SPA, PWA, Docker.

Job Perks

• Get to work with a highly passionate team of engineers.
• Open and embracing culture towards the latest hot technologies.
• A high level of freedom & responsibility.

Product Manager (Data & Operations)

Experience: 2+ years

Must-Have: Candidate must have prior experience in a product-based company

Role Summary

We are looking for a highly analytical Product Manager to drive business growth through data analysis, operational efficiency, and structured experimentation.

This role will focus on identifying growth opportunities, reducing operational inefficiencies, improving unit economics, and building strong reporting systems across the ecommerce and AI-led product ecosystem.

You will work closely with Engineering, Marketing, Catalog, Operations, Finance, and Data teams to ensure decisions are backed by data and execution is operationally strong.

Key ResponsibilitiesData Analysis & Business Insights

• Own end-to-end funnel analysis (Impressions → CTR → ATC → Checkout → Purchase → Repeat)
• Identify drop-offs, leakages, and revenue gaps using SQL, GA, Clevertap
• Perform cohort analysis (new vs repeat, prepaid vs COD, personalized vs non-personalized users)
• Track and improve core metrics:
• Conversion Rate
• GMV & Revenue
• AOV
• Repeat Rate
• Cancellation & RTO %
• Margin contribution
• Build and maintain weekly/monthly dashboards for leadership visibility
• Translate raw data into clear, actionable insights

Operational Excellence

• Identify operational bottlenecks impacting conversion and fulfillment
• Analyze cancellation drivers & reduce COD RTO risk
• Improve payment success rates and checkout efficiency
• Work with logistics teams to optimize delivery timelines
• Collaborate with catalog & brand teams to improve SKU performance
• Monitor inventory health, sell-through rate, and stock rotation
• Drive pricing and margin optimization initiatives

Experimentation & Performance Improvement

• Run structured A/B tests to improve funnel performance
• Define clear hypotheses, success metrics, and impact measurement
• Analyze experiment results and recommend rollouts
• Build scalable processes for experimentation cadence

Cross-Functional Execution

• Convert insights into PRDs and operational roadmaps
• Partner with engineering for sprint-based delivery
• Align marketing, catalog, and operations on metric ownership
• Ensure every feature launch has measurable business KPIs

Must-Have Skills

• Strong analytical mindset and comfort with large datasets
• Advanced Excel / Google Sheets
• Strong SQL proficiency (mandatory)
• Experience with GA, Clevertap, Mixpanel or similar tools
• Experience working on ecommerce funnels
• Understanding of unit economics (GMV, margins, CAC, LTV)
• Strong problem-solving and structured thinking

Bonus Skills

• Experience in ecommerce marketplace or D2C
• Experience working with logistics, payments, or inventory systems
• Exposure to AI-led recommendation systems
• Experience building business dashboards

What Success Looks Like (First 6 Months)

• Clear dashboard visibility across all core business metrics
• 10–15% improvement in funnel conversion
• Reduction in cancellation & RTO rates
• Improved operational turnaround time
• Data-backed roadmap prioritization

We are seeking a talented and passionate Conversational AI Developer to join our team and play a key role in creating innovative and engaging chatbots and virtual assistants.  The ideal candidate will have a strong background in software development, with a focus on AI and natural language processing technologies. 

Responsibilities: 

• Drive the full lifecycle development — from design to deployment — of scalable chatbots and virtual assistants utilizing Microsoft Bot Framework, Kore.ai, or similar CAI technologies 
• Collaborate with cross-functional teams (product managers, designers, UX/UI specialists) to gather requirements, design conversational flows, and implement user stories 
• Integrate Natural Language Processing (NLP) and Natural Language Understanding (NLU) techniques to enable chatbots to understand user intent and respond accordingly 
• Leverage Generative AI services to enhance chatbot responses with creativity and personalization 
• Develop chatbots for deployment across multiple channels (web, mobile apps, messaging platforms) ensuring a seamless user experience 
• Conduct thorough testing and debugging to ensure high performance and accuracy of conversational AI solutions 
• Monitor and analyze user interactions and chatbot performance to identify areas for improvement and optimization 
• Stay updated on the latest advancements in Conversational AI technologies and best practices.
• Apply Microsoft Foundry methodologies for rapid prototyping, iterative experimentation, and accelerated delivery of AI-driven chatbot solutions
• Build, refine, and scale enterprise-grade chatbot applications using Foundry-aligned engineering practices, reusable components, and standardized deployment workflows

Preferred Qualifications: 

• 3+ years of experience in software development, preferably with a focus on conversational AI or chatbots 
• Deep expertise in Azure Bot Framework v4, specifically utilizing Adaptive Dialogs, Waterfall Dialogs, and middleware customization 
• Strong backend development skills with advanced proficiency in C#, .NET, JavaScript, CSS, HTML for custom bot logic 
• Hands-on experience with Azure Integration Services, using Azure Functions and Logic Apps to orchestrate workflows between the bot and external systems 
• Proven experience with Salesforce API integrations (REST/SOAP), specifically for managing Live Agent handoffs, Knowledge base retrieval, and Case creation 
• Experience configuring Azure Cosmos DB for storing conversation state, user data, and telemetry logs 
• Experience implementing Hybrid AI strategies, bridging classical NLU services (Azure CLU) with Generative AI models (Azure OpenAI/GPT) for fall-back handling or content generation 
• Middleware familiarity, with exposure to MuleSoft or similar ESB platforms for enterprise-grade data exchange 
• Data-driven optimization skills, utilizing Power BI to analyze conversation logs, identify drop-off points, and drive NLU accuracy improvements 
• SDLC leadership experience, including defining CI/CD pipelines for bot deployment across multiple environments (Dev/Test/Prod).
• Hands-on experience working with Microsoft Foundry frameworks, including rapid MVP creation, modular architecture patterns, and AI-driven solution accelerators
• Demonstrated experience building, deploying, and optimizing chatbot applications using Foundry engineering standards and reusable AI components
• Excellent communication, collaboration, and problem-solving skills 
• Ability to work independently and manage multiple projects simultaneously 
• Passion for innovation and a strong desire to push the boundaries of Conversational AI technology 

Job Overview:

We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLP, Computer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks.

Required Skills & Qualifications:

• Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
• 5+ years of hands-on experience in AI/ML solution development.
• Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.
• Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).
• Proficient in key AI libraries and frameworks:
• LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
• NLP: SpaCy, NLTK.
• Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2
• MLOps: MLflow, FastAPI, Docker, Git
• Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.
• Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure.
• Strong communication skills and ability to convert business problems into technical solutions.

Preferred Qualifications:

• Experience building multimodal systems (text + image, etc.)
• Practical experience with agent frameworks for autonomous or goal-directed AI.
• Familiarity with quantization, distillation, or knowledge transfer for efficient model deployment.

Key Responsibilities:

• Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications.
• Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.
• Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.
• Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.
• Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.
• Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.
• Optimize models for performance, cost-efficiency, and low latency in production.
• Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.
• Mentor junior AI engineers and contribute to internal AI best practices and documentation.

• Minimum 3-4 years of experience with ETL tools, SQL, SSAS & SSIS
• Good understanding of Data Governance, including Master Data Management (MDM) and Data Quality tools and processes
• Knowledge of programming languages eg. JASON, Python, R
• Hands on experience of SQL database design
• Experience working with REST API
• Influencing and supporting project delivery through involvement in project/sprint planning and QA
• Working experience with Azure
• Stakeholder management
• Good communication skills

Job Description for NodeJS/Backend Developer (2 - 4 years experience ) :

Responsibilities:

1. Writing reusable, efficient code.
2. Implementation of security and data protection.
3. Development and design of high performant APIs and implementing server side logic.
4. User authentication, DB Schema design etc.

Skills and Qualifications:

1. Javascript
2. Typescript
3. Object oriented programming
4. Express and Mongo DB.
5. AWS and basic devOps

Other Tools:
1. Git and other development tools.

Design

·       Design a Service Platform that will serve a large scale of users 

·       Prepare design based on requirements and direction provided by product manager

·       Research and consult with SMEs to ensure the design is most suitable to meet the requirements

·       Present and explain design decisions and gain consensus within in the team

·       Propose UI/UX design decisions that align with requirements and expectations

·       Create any support documentation required for future design updates and validation

Develop

·       Document development plan to implement requirements (Senior)

·       Manage development project tasks and schedule (Senior)

·       Establish development lifecycle model to suit the needs of the project (Senior)

·       Build & configure the base platform based on Open Source solution

·       Manage sprint cycle releases and track development progress 

Quality

·       Perform Quality Assurance before releasing new features

·       Conduct Integration testing to ensure platform is stable

·       Track any issues and ensure that defects are resolved in the next release

·       Demonstrate new features at the end of the sprint

·       Report the development progress weekly including any issues identified

Standards

·       Use the following standards, methods and techniques

o   SDLC including Waterfall, Agile & DevOps

o   Project Management & Requirements Management

o   Coding standards, Code review process & Code management

o   Build, Test & Release Processes

o   CI/CD Frameworks

Technology

·       Use the following frameworks, technology & tools

o    Java, PYTHON, Jquery, React, , 

o   API, REST, DJango

o   Docker, 

o   Git, Jenkins

o   Linux

o   MySQL,