Database Architect

About the Role

Qiro is building the infrastructure powering the next generation of underwriting, credit analytics, and tokenized private credit markets.

We are looking for a Tech Lead — Credit & Blockchain Infrastructure to lead the architecture and execution of our core systems — spanning underwriting engines, credit lifecycle workflows, and blockchain-integrated capital markets infrastructure.

This is not a feature delivery role. This is a system ownership role.

You will be hands-on while leading a growing engineering team in a fast-moving, in-office environment.

What You’ll Own

• Define and evolve the long-term technical vision for Qiro’s programmable credit infrastructure — architecting cohesive systems that unify underwriting engines, credit lifecycle workflows, and tokenized capital markets.
• Own the end-to-end architecture of scalable backend platforms (Python and/or TypeScript), establishing clear boundaries between risk logic, platform APIs, and smart contract integrations while ensuring scalability, auditability, and extensibility.
• Build and standardize configurable underwriting and credit lifecycle systems — from onboarding and drawdown orchestration to repayment waterfalls and early closures — ensuring deterministic, traceable financial state transitions at institutional scale.
• Set integration and infrastructure standards across API contracts, data models, validation layers, and event-driven architectures, enabling reliable synchronization between off-chain services and on-chain contracts.
• Architect secure and resilient blockchain integrations, including wallet interactions, capital flow coordination, and observable on-chain/off-chain state reconciliation.
• Lead high-impact, cross-product initiatives from RFC and system design through production launch — validating architectural decisions, aligning stakeholders, and delivering measurable improvements in reliability, performance, and developer velocity.
• Elevate reliability and operational excellence by defining SLOs, strengthening CI/CD and observability practices, reducing latency, and minimizing systemic risk in financial workflows.
• Build and scale the engineering organization — mentoring senior engineers, shaping hiring standards, driving architecture reviews, and fostering a culture of ownership, craftsmanship, and first-principles thinking.
• Partner closely with Product, Design, Security, and Operations to translate complex lending and capital market mechanics into simple, robust platform primitives.

Who You Are

• 6-8+ years of engineering experience, with 3+ years in technical leadership roles.
• Strong backend architecture experience in Python and/or TypeScript.
• Comfortable designing distributed systems and financial workflows.
• Experience building fintech, lending, underwriting, trading, or blockchain-integrated systems.
• Strong understanding of API design, state management, and data modeling.
• Able to navigate ambiguity and build 0→1 infrastructure.
• Hands-on builder who leads by writing production-grade code.

We Value

• Experience with underwriting engines or policy-driven decision systems.
• Exposure to smart contracts and blockchain integrations.
• Familiarity with PostgreSQL and event-driven architectures.
• Experience in early-stage or high-growth startups.
• Strong product thinking and ability to translate complex financial logic into scalable systems.

Why Join Qiro

• Lead the architecture of a programmable credit infrastructure platform.
• Join the founding technical leadership team.
• High autonomy and ownership — your decisions shape the company.
• In-office collaboration in Bangalore for speed and iteration.
• Competitive compensation and meaningful equity.

Our Culture

We operate with:

• First-principles thinking
• Technical craftsmanship
• High ownership
• Fast execution with long-term architectural discipline

Job Description

About the Role

We are seeking an experienced and hands-on Lead AI Engineer with 8-9 years of experience in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate will have strong expertise in classification, anomaly detection, and time-series modeling, along with deep experience in Transformer-based architectures and modern LLM ecosystems.

This role requires technical leadership, architectural decision-making, and mentoring of AI engineers, while actively contributing to building scalable AI solutions. Expertise in model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelines is highly desirable.

Responsibilities

• Lead the design, development, and deployment of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
• Architect and build scalable AI and Generative AI solutions, including RAG pipelines for document search, Q&A, summarization, and enterprise knowledge systems.
• Design, train, and fine-tune deep learning models including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
• Drive the fine-tuning and adaptation of large language models (LLMs) using techniques such as Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA.
• Apply model optimization techniques such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
• Define and implement evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
• Lead collaboration with data engineering, backend, platform, and DevOps teams to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
• Provide technical mentorship and guidance to junior and mid-level AI engineers and contribute to best practices in ML engineering.
• Ensure clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
• Stay up to date with the latest advancements in LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.

Required Skills & Qualifications

• 8-9 years of hands-on experience in machine learning, deep learning, or data science roles.
• Strong programming expertise in Python and ML/DL libraries such as scikit-learn, pandas, PyTorch, and TensorFlow.
• Deep understanding of machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
• Extensive experience with Transformer models and open-source LLM ecosystems (e.g., Hugging Face Transformers).
• Hands-on experience building Generative AI applications and RAG-based systems using frameworks such as LangChain or LlamaIndex.
• Experience with model optimization and quantization techniques (dynamic/static quantization, INT8, etc.) for efficient inference.
• Strong understanding of embeddings, vector databases, and retrieval systems (e.g., FAISS, Pinecone, Azure AI Search).
• Experience with model evaluation, monitoring, and performance optimization in production environments.
• Familiarity with containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
• Proven ability to lead technical initiatives and mentor engineering teams.

Preferred Qualifications

• Experience fine-tuning LLMs using SFT, LoRA, or QLoRA on domain-specific datasets.
• Exposure to MLOps platforms such as SageMaker, Vertex AI, or Kubeflow.
• Experience with distributed data processing frameworks like Spark and workflow orchestration tools such as Airflow.
• Contributions to research papers, technical blogs, patents, or open-source projects in ML, NLP, or Generative AI.
• Experience designing enterprise-scale AI platforms or AI-powered products.

✅ Maintain and update employee records, attendance, and HR documentation.

✅ Assist in payroll processing and leave management.

✅ Support employee engagement and welfare initiatives.

✅ Ensure compliance with company policies and labor regulations.

✅ Coordinate with different departments to resolve HR-related queries.

• 3-5 years of experience developing and implementing software applications.
• Previous experience working as a React.js Developer.
• Knowledge in e-Commerce domain will be a plus.
• In-depth knowledge of JavaScript, CSS, HTML and front-end languages.
• Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.
• Experience with REST API's 
• In-depth understanding of Javascript, the DOM, and relevant concepts.
• Knowledge of modern authorization mechanisms, such as JSON Web Token. 
• Experience with user interface design.
• Proficient understanding of cross-browser compatibility issues and ways to work around them.
• Experience with browser-based debugging and performance testing software.
• Proficient understanding of code versioning tools, such as Git, Github.
• Excellent troubleshooting skills.

• 5+ years of experience in a Data Engineering role on cloud environment

• Must have good experience in Scala/PySpark (preferably on data-bricks environment)

• Extensive experience with Transact-SQL.
• Experience in Data-bricks/Spark.

• Strong experience in Dataware house projects
• Expertise in database development projects with ETL processes.
• Manage and maintain data engineering pipelines

• Develop batch processing, streaming and integration solutions
• Experienced in building and operationalizing large-scale enterprise data solutions and applications

• Using one or more of Azure data and analytics services in combination with custom solutions
• Azure Data Lake, Azure SQL DW (Synapse), and SQL Database products or equivalent products from other cloud services providers

• In-depth understanding of data management (e. g. permissions, security, and monitoring).
• Cloud repositories for e.g. Azure GitHub, Git
• Experience in an agile environment (Prefer Azure DevOps).

Good to have

• Manage source data access security
• Automate Azure Data Factory pipelines
• Continuous Integration/Continuous deployment (CICD) pipelines, Source Repositories
• Experience in implementing and maintaining CICD pipelines
• Power BI understanding, Delta Lake house architecture
• Knowledge of software development best practices.
• Excellent analytical and organization skills.
• Effective working in a team as well as working independently.
• Strong written and verbal communication skills.
• Expertise in database development projects and ETL processes.

The ideal candidate is an analytical team player who will be responsible for getting things done, identifying the critical issues within the existing product, skilled in problem solving, planned execution and finally evaluating the solution. Ability to work with a team of high performing individuals, also work cross-functionally to complete product roadmaps and discover new opportunities.

Work Responsibilities:

1. Work closely with senior leadership in Product, Technology, Business, Marketing and Design team to articulate business needs to actionable product requirements.
2. Take complete ownership of the products, refining the existing features in the product. Working on new features, identifying the user requirements and ultimately improving the lifetime of the users using our product.
3. A basic understanding of qualitative and quantitative methods for user research. Establish a closed feedback loop with users & Synthesizing user needs and insights into simple yet delightful experiences.
4. Periodically conduct user-research, industry analysis, competitor mapping and ideate on what to build next. Compile information from various sources to formulate a current picture of the company and market.
5. Improving the user journey, reducing the drop-off rates.
6. Obsess with data, define and track key metrics and draw actionable insights using data. Establish KPIs, and conduct quality assessments
7. Help define Product Roadmap for new offerings aligned with the broader company vision and yearly targets
8. Work with cross-functional team to take something from idea to hands of users
9. Maximize the efficiency of all business procedures, Dissect product analytics and user behavior patterns into meaningful insights that grow the product.

Skills Required:

• Tech background with a good understanding of technology, data and building products. 2-6 years of experience in Product Management, Software Development, Analytics or similar roles in a consumer internet product set-up.
• A strong product sense, attention to the little big details, and eye for good visual design.
• Capable of taking business metrics, requirements or user problems and breaking them into workable product requirements, and leading the development of identified features
• Excellent presentation & communication, problem-solving, organizational and analytical skills to get the team on board with your vision
• Able to multitask, prioritize, work autonomously and with great time management skills
• Prior track record of working with product team from research phases through engineering to success would be highly preferred.

What you need to have: 

• 2-5 years of experience in Manual and Automation testing for Cloud based Web and Mobile Application
• Experience with automation design, scripting, and execution
• An understanding of requirements analysis, design, coding, and unit testing of scalable, distributed, Cloud based applications
• Familiar with agile or other rapid application development
• Expertise in testing API's and debug application issues through API
• Exposure in Continuous integration process implementation by building CI / CD Pipeline using Jenkins and Integrate with Mavens
• Expertise of coding and programming skills in Java / Python
• Solid understanding of software design principles for Building Test Frameworks;
• Think out of the box coming up with creative test design automation frameworks to build / utilities plus tools to develop
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Ability to work in a results-oriented, rapidly changing, dynamic and fast-paced environment that requires collaboration across multiple stakeholders and constituents