Tele Sales

Required Skills: End-to-End Product Design Expertise, User Research & Usability Testing, Prototyping & Interaction Design, Design Systems & UI Standards, Tool Proficiency (Figma, XD, etc.)

Review Criteria

4+ years of experience in Product Design / UI/UX Design roles.

Formal education in Design (B.Des/ M.Des/ equivalent) from reputed institutes.

Proven experience working in product-based companies or fast-growing startups.

Strong portfolio showcasing product design work across web and mobile platforms. (Mandatory to share)

Expertise in tools like Figma, Sketch, Adobe XD, Illustrator, and Prototyping tools.

Strong understanding of design systems, usability principles, and interaction design.

Experience designing high-traffic consumer products is a strong plus.

Role Overview

We are looking for a Senior Product Designer to shape intuitive, engaging, and scalable user experiences across company’s digital products. You will work closely with Product Managers and Engineering teams to design seamless journeys for millions of users, turning complex user needs into simple, delightful product experiences.

This role is ideal for someone who thrives in startup-style environments, enjoys solving real user problems, and can push design thinking across the company.

Key Responsibilities

Own end-to-end product design for mobile and web experiences including concepting, wireframing, prototyping, and high-fidelity UI designs.

Translate product strategy and user requirements into powerful design solutions.

Conduct user research, usability testing, and iterate designs based on real user feedback.

Collaborate with product managers to define product flows, user journeys, and design experiments.

Work closely with engineers to ensure accurate and high-quality implementation of designs.

Build and maintain scalable design systems and UI standards.

Continuously improve UX through data-backed design decisions and A/B testing.

Key Skills

UI/UX Design

Interaction Design

Design Thinking

Prototyping & Wireframing

Design Systems

User Research & Usability Testing

Required Skills and Qualifications Technical Expertise

• Proficiency in enterprise architecture frameworks (e.g., TOGAF, Zachman) and modelling tools.

• In-depth knowledge of cloud computing, distributed systems, data management, application development, and network architecture.

• Familiarity with programming languages and development methodologies. Business Acumen

• Strong analytical skills to translate business needs into technical solutions.

• Comprehensive understanding of business processes and technology optimization opportunities.

• Excellent communication and presentation skills to explain technical concepts to diverse stakeholders. Leadership and Collaboration

• Demonstrated ability to lead cross-functional teams and influence decisions across the organization.

• Strong collaboration skills to engage with various stakeholders effectively.

Experience

• Proven experience as an Enterprise Architect in a complex IT environment, preferably within IT services.

• A successful track record in designing and implementing enterprise-wide IT solutions.

• Experience managing large-scale technology transformations and migration projects. Domain Expertise

• We are seeking an Enterprise Architect with proven exposure to the BFSI (Banking, Financial Services, and Insurance) domain. Candidates with experience in Retail and Healthcare domains are also preferred.

Preferred Qualifications

• Certification in enterprise architecture frameworks such as TOGAF or Zachman.

• Knowledge of DevOps practices and tools.

• Experience with modern technology stacks and microservices-based architectures. 

Certa (getcerta.com) is a Silicon Valley-based startup automating the vendor, supplier, and stakeholder onboarding processes for businesses globally. Serving Fortune 500 and Fortune 1000 clients, Certa's engineering team tackles expansive and deeply technical challenges, driving innovation in business processes across industries.

Location: Remote (India only)

Role Overview

We are looking for an experienced and innovative AI Engineer to join our team and push the boundaries of large language model (LLM) technology to drive significant impact in our products and services . In this role, you will leverage your strong software engineering skills (particularly in Python and cloud-based backend systems) and your hands-on experience with cutting-edge AI (LLMs, prompt engineering, Retrieval-Augmented Generation, etc.) to build intelligent features for enterprise (B2B SaaS). As an AI Engineer on our team, you will design and deploy AI-driven solutions (such as LLM-powered agents and context-aware systems) from prototype to production, iterating quickly and staying up-to-date with the latest developments in the AI space . This is a unique opportunity to be at the forefront of a new class of engineering roles that blend robust backend system design with state-of-the-art AI integration, shaping the future of user experiences in our domain.

Key Responsibilities

• Design and Develop AI Features: Lead the design, development, and deployment of generative AI capabilities and LLM-powered services that deliver engaging, human-centric user experiences . This includes building features like intelligent chatbots, AI-driven recommendations, and workflow automation into our products.
• RAG Pipeline Implementation: Design, implement, and continuously optimize end-to-end RAG (Retrieval-Augmented Generation) pipelines, including data ingestion and parsing, document chunking, vector indexing, and prompt engineering strategies to provide relevant context to LLMs . Ensure that our AI systems can efficiently retrieve and use information from knowledge bases to enhance answer accuracy.
• Build LLM-Based Agents: Develop and refine LLM-based agentic systems that can autonomously perform complex tasks or assist users in multi-step workflows. Incorporate tools for planning, memory, and context management (e.g. long-term memory stores, tool use via APIs) to extend the capabilities of our AI agents . Experiment with emerging best practices in agent design (planning algorithms, self-healing loops, etc.) to make these agents more reliable and effective.
• Integrate with Product Teams: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into our products, ensuring that features align with user needs and business goals . You’ll collaborate cross-functionally to translate product requirements into AI solutions, and iterate based on feedback and testing.
• System Evaluation & Iteration: Rigorously evaluate the performance of AI models and pipelines using appropriate metrics – including accuracy/correctness, response latency, and avoidance of errors like hallucinations . Conduct thorough testing and use user feedback to drive continuous improvements in model prompts, parameters, and data processing.
• Code Quality & Best Practices: Write clean, maintainable, and testable code while following software engineering best practices . Ensure that the AI components are well-structured, scalable, and fit into our overall system architecture. Implement monitoring and logging for AI services to track performance and reliability in production.
• Mentorship and Knowledge Sharing: Provide technical guidance and mentorship to team members on best practices in generative AI development . Help educate and upskill colleagues (e.g. through code reviews, tech talks) in areas like prompt engineering, using our AI toolchain, and evaluating model outputs. Foster a culture of continuous learning and experimentation with new AI technologies.
• Research & Innovation: Continuously explore the latest advancements in AI/ML (new model releases, libraries, techniques) and assess their potential value for our products . You will have the freedom to prototype innovative solutions – for example, trying new fine-tuning methods or integrating new APIs – and bring those into our platform if they prove beneficial. Staying current with emerging research and industry trends is a key part of this role .

Required Skills and Qualifications

• Software Engineering Experience: 3+ years (Mid-level) / 5+ years (Senior) of professional software engineering experience. Rock-solid backend development skills with expertise in Python and designing scalable APIs/services. Experience building and deploying systems on AWS or similar cloud platforms is required (including familiarity with cloud infrastructure and distributed computing) . Strong system design abilities with a track record of designing robust, maintainable architectures is a must.
• LLM/AI Application Experience: Proven experience building applications that leverage large language models or generative AI. You have spent time prompting and integrating language models into real products (e.g. building chatbots, semantic search, AI assistants) and understand their behavior and failure modes . Demonstrable projects or work in LLM-powered application development – especially using techniques like RAG or building LLM-driven agents – will make you stand out .
• AI/ML Knowledge: Prioritize applied LLM product engineering over traditional ML pipelines. Strong chops in prompt design, function calling/structured outputs, tool use, context-window management, and the RAG levers that matter (document parsing/chunking, metadata, re-ranking, embedding/model selection). Make pragmatic model/provider choices (hosted vs. open) using latency, cost, context length, safety, and rate-limit trade-offs; know when simple prompting/config changes beat fine-tuning, and when lightweight adapters or fine-tuning are justified. Design evaluation that mirrors product outcomes: golden sets, automated prompt unit tests, offline checks, and online A/Bs for helpfulness/correctness/safety; track production proxies like retrieval recall and hallucination rate. Solid understanding of embeddings, tokenization, and vector search fundamentals, plus working literacy in transformers to reason about capabilities/limits. Familiarity with agent patterns (planning, tool orchestration, memory) and guardrail/safety techniques.
• Tooling & Frameworks: Hands-on experience with the AI/LLM tech stack and libraries. This includes proficiency with LLM orchestration libraries such as LangChain, LlamaIndex, etc., for building prompt pipelines . Experience working with vector databases or semantic search (e.g. Pinecone, Chroma, Milvus) to enable retrieval-augmented generation is highly desired.
• Cloud & DevOps: Own the productionization of LLM/RAG-backed services as high-availability, low-latency backends. Expertise in AWS (e.g., ECS/EKS/Lambda, API Gateway/ALB, S3, DynamoDB/Postgres, OpenSearch, SQS/SNS/Step Functions, Secrets Manager/KMS, VPC) and infrastructure-as-code (Terraform/CDK). You’re comfortable shipping stateless APIs, event-driven pipelines, and retrieval infrastructure (vector stores, caches) with strong observability (p95/p99 latency, distributed tracing, retries/circuit breakers), security (PII handling, encryption, least-privilege IAM, private networking to model endpoints), and progressive delivery (blue/green, canary, feature flags). Build prompt/config rollout workflows, manage token/cost budgets, apply caching/batching/streaming strategies, and implement graceful fallbacks across multiple model providers.
• Product and Domain Experience: Experience building enterprise (B2B SaaS) products is a strong plus . This means you understand considerations like user experience, scalability, security, and compliance. Past exposure to these types of products will help you design AI solutions that cater to a range of end-users.
• Strong Communication & Collaboration: Excellent interpersonal and communication skills, with an ability to explain complex AI concepts to non-technical stakeholders and create clarity from ambiguity . You work effectively in cross-functional teams and can coordinate with product, design, and ops teams to drive projects forward.
• Problem-Solving & Autonomy: Self-motivated and able to manage multiple priorities in a fast-paced environment . You have a demonstrated ability to troubleshoot complex systems, debug issues across the stack, and quickly prototype solutions. A “figure it out” attitude and creative approach to overcoming technical challenges are key.

Preferred (Bonus) Qualifications

• Multi-Modal and Agents: Experience developing complex agentic systems using LLMs (for example, multi-agent systems or integrating LLMs with tool networks) is a bonus . Similarly, knowledge of multi-modal AI (combining text with vision or other data) could be useful as we expand our product capabilities.
• Startup/Agile Environment: Prior experience in an early-stage startup or similarly fast-paced environment where you’ve worn multiple hats and adapted to rapid changes . This role will involve quick iteration and evolving requirements, so comfort with ambiguity and agility is valued.
• Community/Research Involvement: Active participation in the AI community (open-source contributions, research publications, or blogging about AI advancements) is appreciated. It demonstrates passion and keeps you at the cutting edge. If you have published research or have a portfolio of AI side projects, let us know !

Perks of working at Certa.ai:

• Best-in-class compensation
• Fully-remote work with flexible schedules
• Continuous learning
• Massive opportunities for growth
• Yearly offsite
• Quarterly hacker house
• Comprehensive health coverage
• Parental Leave
• Latest Tech Workstation
• Rockstar team to work with (we mean it!)

🚨 We’re Hiring: Sales & Marketing (Chillers) | 1–15 Years | Andheri, Mumbai 🚨

Looking for dynamic professionals with experience in chiller sales and marketing.

📍 Location: Andheri, Mumbai

💼 Experience: 1 to 15 years

📊 Industry: HVAC/Industrial Cooling/Engineering

👉 Must have relevant experience in chillers

👉 Strong communication & client-handling skills

• Should be responsible for Scrum Master role and taking care of proper Daily Stand Up Meeting with the team and ensure team efficiency & unblock them by resolving their concerns.
• Taking care of complete Product backlog of the Product which is going to be developed or under development.
• Should be able to define proper Sprint Cycle & timeline for particular sub-part of the Product. Should be able to plan the Sprint items in such a manner that there is some needful & working sub-part of the Product is coming out at the end of every Sprint Cycle.
• Should be able to update Product Owner timely if there is any issue/challenge in the development team.
• Should be able to timely raise alarm / red flag to Senior Management/Product Owner if there is any major challenge in the Product.
• Should be able to manage team leave plans and then accordingly planning the Sprint Cycle.
• Take care of end-to-end timely and quality delivery of the complete product.
• Additionally , should be responsible for validating the product and ensure the quality of the product by identifying the bugs in the product. Should be able to timely update the development team for the bugs and push the dev team to timely resolve the bugs/issues.

We are looking for an enthusiastic Customer Support Executive who possesses a strong drive for results. The ideal candidate should showcase the following skills - 

• Fluent communication skills in English and Hindi
• Proven customer support experience of 1-3 years
• Engaging with customers and earning their trust
• Building sustainable relationships with customers
• Patient, empathetic, self-motivated
• Experience with CRM and tool handling
• Bachelor's degree, preferably in Computer/IT Engineering
• Prior experience in Ed-tech platform is mandatory

Following are the day-to-day roles and responsibilities - 

• Making outbound calls to registered users, interacting with them, providing necessary information, and resolving any queries
• Taking inbound calls from customers to resolve any queries or complaints
• Accurately explaining all details of courses offered to parents and students
• Ensuring a smooth journey for customers, from registering to completing a demo session
• Ensuring maximum customer satisfaction
• Having inside-out knowledge of our product and course offerings
• Explaining technical subjects to customers with a non-technical background

• Ability to design the overall architecture of UI components of the web application.
• Maintain quality and ensure responsiveness of applications.
• Collaborate with the rest of the engineering team to design and launch new features.
• Maintain code integrity and organization.
• Experience working with graphic designers and converting designs to visual elements using JavaScript, HTML, and CSS.
• Understanding and implementation of security and data protection.
• Good problem-solving skills and willingness to learn new technology

Qualifications:-

• 2+ year track record of relevant work experience and a Computer Science or a related technical discipline is required
• Excellent knowledge of JavaScript
• Proficient experience in ReactJS.
• OOPS, Concept, and Data Structure like Queue, Stack, Tree, Linked List, etc.
• Good knowledge in working with REST APIs
• Knowledge of converting designs to working web pages using HTML and CSS.
• Experience in Architecture and delivery of web applications.
• Knowledge of code versioning tool – Git

Good to have:

• Experience in AngularJS
• Experience in server-side programming

Essential Job Functions

• Provide technical leadership in getting new ideas into production efficiently
• Enhance tools and processes to improve product design/development
• Analyze business needs and conceive, design, and develop innovative solutions
• Whiteboard designs and mentor less experienced team members
• Keep an eye on quality engineering practices, implementation, and be the mentor and champion for your team
• Work closely with Software Developers / QA Engineers and the business to build outstanding products
• Develop a deep understanding of product functionality and how it relates to business goals and practices
• Be hands on, code and take ownership for features/initiatives
• Must be able to interface with executives, business leaders

Knowledge, Skills, And Abilities Required

• Bachelor’s degree in Computer Science or equivalent
• 12+ years industry experience
• Good leadership skills
• Good experience with Java, Spring, Hibernate, REST
• Good experience with cloud-based development / leveraging cloud services
• Good experience with JavaScript (AngularJS)
• Good experience with SQL / Relational Databases
• Good experience with Big Data / data pipelines on the cloud
• Good verbal and written communication skills
• Proven troubleshooting and problem-solving skills
• Experience working in a Lean/Agile environment

Nice To Have

• Experience developing a microservices architecture
• Experience with Docker, Kubernetes, CI/CD, Jenkins and deploying applications on cloud (Google Cloud Platform preferred)