UI/UX Designer

Company Overview:

Pripton Innovations is a dynamic technology company focused on developing cutting-edge AI-powered solutions for the AI services industry. We build and deploy sophisticated platforms that leverage large language models (LLMs) to automate complex processes, enhance decision-making, and improve customer experiences. Our solutions are currently utilised by several leading institutions, impacting millions of users globally.

Role Overview:

As a Fullstack Product Engineer at Pripton Innovations, you will be instrumental in designing, developing, and deploying innovative features for our core AI platform. You will collaborate closely with product managers, designers, and other engineers to translate product requirements into robust, scalable, and user-friendly solutions. Your work will directly impact the efficiency and effectiveness of our AI-driven tools, ultimately driving better outcomes for our clients and their customers.

Key Responsibilities:

- Develop and maintain high-quality, performant APIs using NestJS and FastAPI to support our AI-powered applications.

- Build and enhance interactive user interfaces with Next.js and Tailwind CSS, ensuring a seamless and engaging user experience.

- Implement real-time communication features using Socket.io to facilitate dynamic interactions within our platform.

- Design and optimise database schemas and ORM configurations to ensure efficient data storage and retrieval.

- Deploy and manage applications using Docker and container orchestration technologies to maintain high availability and scalability.

- Write clean, well-documented, and testable code, adhering to industry best practices.

- Collaborate with cross-functional teams to define, design, and ship new features.

- Troubleshoot and resolve production issues, ensuring minimal disruption to our users.

- Contribute to the continuous improvement of our development processes and tools.

Required Skillset:

- Demonstrated ability to design and implement scalable and maintainable full-stack applications.

- Proven experience with backend technologies such as NestJS, FastAPI, and Python.

- Expertise in frontend development using Next.js and Tailwind CSS.

- Proficiency in working with databases and ORM frameworks.

- Solid understanding of real-time communication protocols and experience with Socket.io.

- Experience with containerization technologies like Docker and Git version control.

- Strong problem-solving skills and the ability to work independently and as part of a team.

- Excellent communication and collaboration skills, with the ability to articulate technical concepts clearly.

- Bachelor's degree in Computer Science or a related field.

- Adaptability to a remote work environment and ability to manage time effectively.

About the Role

We are looking for a Senior Software Engineer (Node.js) to join our engineering team in Bengaluru. The ideal candidate will have strong experience building scalable backend applications, designing APIs, and working with modern software development practices.

Responsibilities

• Develop and maintain server-side applications using Node.js.
• Design and implement RESTful APIs.
• Integrate front-end components with backend services.
• Write clean, scalable, and maintainable code.
• Troubleshoot and resolve application issues.
• Optimize application performance, scalability, and reliability.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Participate in code reviews and follow software development best practices.

Requirements

• 3-6 years of experience in software development.
• Strong proficiency in JavaScript and Node.js.
• Experience with RESTful API development.
• Knowledge of SQL and/or NoSQL databases.
• Experience with Git and collaborative development workflows.
• Good problem-solving and communication skills.
• Bachelor's degree in Computer Science or related field.

Good to Have

• Docker
• Kubernetes
• Cloud Platforms
• Microservices Architecture
• Express.js
• MongoDB
• Docker
• Kubernetes
• Backend Development

Experience: 6+ years building and operating production ML systems that drive commercial decisions at scale. 

Location: Remote 

To streamline and fast-track screening, please submit your details here (if you haven’t already): https://airtable.com/appbtkr4odapnb5I6/pag05ROZwgz5AaLDG/form 

We’ll review your responses as part of the initial screening process. Please make sure you complete and submit all details through the form to be considered for the next stage. Submissions outside the form may not be considered.

Why This Role Matters

Terrabase builds decisioning infrastructure for enterprise customers: ranked recommendations, scoring pipelines, and policy-governed outputs that drive real commercial action. Our ML systems do not live in notebooks. They run multi-stage evaluation harnesses, apply structured governance rules, backtest against historical outcomes, and ship ranked outputs that customers act on daily.

This role owns the decisioning system end to end. That means the models, the eval harness, the policy layer, the production services, and the technical roadmap for where all of it goes next.

What You Will Do

Own the decisioning and ranking pipeline. Design, extend, and operate the end-to-end system: candidate generation in DuckDB, multi-stage scoring with LightGBM and AutoGluon, post-score policy application, and final ranked output delivery. You understand each layer well enough to debug latency, correctness, and coverage problems quickly, and to design the next version.

Lead the evaluation harness. Our eval pipeline runs multiple gates before any output ships: data health checks, specification validation, business rules enforcement, resolution checks, LLM-as-judge scoring, backtest against historical outcomes, and final output validation. You will own this harness, extend it as the system grows, and ensure every model or pipeline change is measurable and reproducible before it reaches a customer.

Apply policy logic with rigor. Our ML systems operate under structured governance rules that determine which offers apply to which customer segments, under what conditions. You will implement, test, and audit these rules in code, not configure them in a spreadsheet. Every exclusion must be traceable and explainable.

Engineer features that move metrics. Identify and build the behavioral signals, engagement indicators, contract features, and value-band attributes that improve model performance. Close the loop from feature hypothesis through offline evaluation to production monitoring. Own the data contracts between upstream sources and the scoring pipeline.

Build and maintain the production pipeline and service layer. The decisioning system is not a batch notebook. You will write and operate the Python pipeline and service layer that wraps model inference, handles edge cases, versions model artifacts, and connects to downstream consumers. You own CI, test coverage, reproducible training runs, monitoring, and production incidents.

Drive technical direction. Write design documents, lead code review, and set the engineering standard for the decisioning system. Help define the roadmap: what gets built, in what order, and why. Mentor contributors who work alongside you on this system.

Work forward-deployed. You will engage directly with customer stakeholders to understand business context, interpret model outputs, and translate commercial requirements into system constraints. You are accountable for customer delivery, not just model accuracy.

What We Are Looking For

• 6+ years building and operating production ML systems, not prototypes or research work
• Strong Python skills across the full ML lifecycle: data pipelines, feature engineering, model training, inference services, and monitoring
• Production experience with gradient boosting models (LightGBM, XGBoost)
• Hands-on with DuckDB or similar in-process analytical engines for large-scale data processing
• Evaluation discipline: held-out metrics, backtesting against historical data, multi-gate eval pipelines, LLM-as-judge patterns
• Experience applying business rules, policy overrides, or constraint layers on top of model outputs
• Engineering fundamentals: CI pipelines, data contracts, versioned artifacts, test coverage, incident response
• Technical leadership: design docs, code review, roadmap input, mentoring
• Comfort with forward-deployed work: you can run a meeting with a non-technical stakeholder and turn the output into a system requirement
• Comfort inheriting an existing production codebase, improving its structure, and raising reliability without rewriting everything from scratch

Bonus Points

• Experience with next-best-offer engines, customer-level targeting, or recommendation systems at scale
• Experience with AutoML frameworks (AutoGluon or similar) in a production scoring pipeline
• Thompson sampling, multi-armed bandits, or portfolio-level optimization experience
• Exposure to structured data from telecoms, financial services, or retail sectors
• Prior work owning a decisioning or ranking system as the technical lead

Life at Terrabase

We are a sharp, focused, fully remote team that ships to real enterprise customers weekly. You will own a system that drives measurable commercial outcomes, with high autonomy, generous cloud budgets, and a culture that prizes rigor over hype.

Terrabase is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for every team member.

Required Skills:

Externally facing Chat, Multilingual, Knowledge Base, Prompt Templates, Grounding

Experience Cloud -> CSS, LWC, Apex, JavaScript, Chat on the Experience Cloud Site (bots, Agent force)

Data Cloud -> As it relates to Agent Force, Search Retrievers, Data Library

Specific Use Cases:

Has worked on an Externally Facing MIAW Chat Bot that uses Agent Force AI to chat with the users.

Has used the Prompt Templates, Answer Questions with Knowledge, Flex Template

Has made external API calls from Agent Force Agent using Flow / Apex.

• Should handle a team of SEO Analyst
• The SEO lead would be responsible for leading and mentoring a team of the analyst to drive business goals
• Developing detailed project plan and monitor progress while delivering projects on time ensuring quality standards
• Make decisions about the day-to-day operation of the team members, including management of work assignments by them
• Primary point of contact for clients
• Perform and ensure completion of quality review check on outgoing work by the team to ensure quality, accuracy, and consistency
• Brainstorm new and creative SEO growth strategies
• Review, analyse and send the Weekly & Monthly to the clients
• Ensuring the Monthly POA & Commitments are delivered as per expectation
• Act as subject matter expert for team members, peers and clients
• Take the primary responsibility for all the Technical Audits & ensuring that the client website is following all the SEO best practices
• In-depth SEO technical knowledge (HTML, CSS, JS) also Google Analytics, webmaster tools, back-end SEO and various online tools
• Communicate team and management on project development, timelines, and results
• Assign all work assignments, commit the team to the work, manage the quality of the work and drive the people management activities within the team

• 3-5 years previous experience in SEO, Digital marketing
• Ability to lead a team of multiple SEO analysts
• Experience in managing large enterprise or eCommerce websites
• Excellent written and verbal communication skills
• Ability to identify and resolve problems
• Ability to organize, manage, and prioritize tasks
• Proficient computer skills, including Microsoft Office Suite

• 2+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

Desired Candidate Profile