Marketing Trainee

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 are seeking an experienced and dynamic Corporate Sales Professional with strong expertise in new business development and client acquisition within the insurance broking industry. The ideal candidate should have a proven track record in driving corporate sales, building client relationships, and delivering revenue growth.

Key Responsibilities

• Drive new business acquisition by identifying, approaching, and converting potential corporate clients.
• Develop and execute effective sales strategies for corporate insurance solutions.
• Build and maintain long-term relationships with clients, ensuring superior service delivery.
• Collaborate with internal teams to design tailored insurance solutions for corporate clients.
• Meet and exceed monthly/quarterly/annual sales and revenue targets.
• Monitor market trends, competitor activities, and emerging opportunities in the corporate insurance space.
• Prepare and present proposals, negotiations, and closure of deals with CXOs and decision-makers.
• Ensure compliance with regulatory guidelines and company policies.

Key Requirements

• 7+ years of experience in corporate sales within the insurance broking industry.
• If from an insurance company, must have direct sales (corporate clients) exposure.
• Strong network and established relationships with corporate clients.
• Demonstrated success in new business development & client acquisition.
• Excellent communication, negotiation, and presentation skills.
• Ability to work independently with a target-driven approach.
• Strong understanding of corporate insurance products and solutions.

What We Offer

• Competitive salary with performance-linked incentives.
• Opportunity to work with a reputed and growing insurance broking firm.
• Exposure to diverse industries and corporate clients.
• Career growth and professional development opportunities.

We’re looking for a full-stack developer to join our founding team and drive our product development. If you’re someone who thrives on high ownership, can figure stuff out on your own and wants to be part of the zero-to-one journey, this might be for you.

• Tl;dr code, debug and repeat, but since job descriptions are supposed to be serious stuff, feel free to read on;
• You’ll be responsible for architecture and development of both frontend and backend systems;
• Brainstorm and prioritize features with the product team based on technical feasibility to define the product roadmap;
• Ownership of shipping features from writing the frontend and backend code to making it live;
• Unless you’re the one who writes answers on stackoverflow, your code is going to break so make sure you can come back and fix it;

• If you can write code that works, we should be good but read on (disclaimer: most of what follows is not a hard requirement);
• You have 1-3 years of experience building a product from scratch or being in the initial engineering team of an early stage startup;
• Well versed with front-end technologies like HTML, CSS, Javascript to craft intuitive UIs;
• Worked with React.JS & Redux (or similar frameworks) to build scalable, reusable components;
• You've built backend architectures using Node.js & Postgres (Brownie points if you’ve worked with Redis & Sequelize);
• Deployed applications on AWS using services like RDS, EC2, S3, Cloudfront;
• You can write tests, are great at logging {by great logging we don’t mean embarrassing console logs} & error tracking using tools like Sentry & Travis CI;
• Most of the above is us trying to sound legit about our stack, so if you’ve not worked with some of it & are open to learning or have better ideas, it’s totally cool;

Location: Delhi NCR, India (Remote for now, hybrid model post-covid)

You will:

• Collaborate with the I-Stem Voice AI team and CEO to design, build and ship new agent capabilities
• Develop, test and refine end-to-end voice agent models (ASR, NLU, dialog management, TTS)
• Stress-test agents in noisy, real-world scenarios and iterate for improved robustness and low latency
• Research and prototype cutting-edge techniques (e.g. robust speech recognition, adaptive language understanding)
• Partner with backend and frontend engineers to seamlessly integrate AI components into live voice products
• Monitor agent performance in production, analyze failure cases, and drive continuous improvement
• Occasionally demo our Voice AI solutions at industry events and user forums

You are:

• An AI/Software Engineer with hands-on experience in speech-centric ML (ASR, NLU or TTS)
• Skilled in building and tuning transformer-based speech models and handling real-time audio pipelines
• Obsessed with reliability: you design experiments to push agents to their limits and root-cause every error
• A clear thinker who deconstructs complex voice interactions from first principles
• Passionate about making voice technology inclusive and accessible for diverse users
• Comfortable moving fast in a small team, yet dogged about code quality, testing and reproducibility

We are hiring Senior Talent Acquisition Manager for an EdTech platform in Bangalore. 

Responsibilities:

• Overlooking at end-to-end recruitment process.
• Prepare recruitment materials and post jobs to appropriate job boards.
• Ensure all the best-recruiting equipment, software, and practices are being used in the process.
• Developing a strategic continuous candidate pipeline.
• Consistent networking, future candidate engagement strategies and communication cadence.
• Handling communication within the team and aiding in preparing schedules for recruitment activities and their execution.

Required Skills:

• Proven recruitment experience at start-ups.
• Experience with applicant tracking systems and HR databases. Prior experience with freshteam will be desirable.
• Hands-on experience with recruiting and sourcing candidates.
• Excellent knowledge of MS Office (PPT, Word, Excel).
• Excellent analytical & time management skills.
• Excellent communication, interpersonal and people skills.

Job Description

We are building a global content marketplace that brings companies and content creators together to scale up content creation processes across 10 content verticals and 150+ content categories. Over the past 3.5 years we’ve worked with brands like India Today, Amazon India, Adobe, Swiggy, Dunzo, Businessworld, Times Group, Digit, Wittyfeed, YourStory etc. along with 350+ brand companies like BookMyShow, UpGrad, Yulu, Paisabazaar, Zivame, Yatra, Bewakoof, Imarticus Learning etc. to create content that is meticulous and customized according to our clients' needs.

We are on the path to building a global on-demand content marketplace platform that allows for collaboration, discovery and upskilling for all our creators. Now we are in a rapid expansion phase to enter into more content service offerings and engage a wide spectrum of content creators, and to facilitate all our ambitions, we are planning to launch multiple product verticals and we are looking for a QA Engineer who has a keen eye for user interaction and production functioning, and a curious mind to tangle-and-untangle them.

• We’re looking for someone who is enthusiastic, comfortable with uncertainty, flexible, great with people and isn’t afraid to roll up their sleeves and get their hands dirty.
• If you think you have the spark and a constantly simmering pot of ideas, this is the chance for you!

Job Responsibilities:

• Take ownership of the testing, identifying issues and subsequent fixing in entire PDLC
• Work with cross-functional teams to ensure quality throughout the software development lifecycle
• Conduct post-release/ post-implementation testing
• Quality review and signoff of new features
• Understand product architecture and functionality
• Create Test Case/Test script writing
• Should be ready to convert unvaried test cases into automated test scripts
• Create, maintain, and execute functional, regression, and exploratory tests
• Provide test case coverage and defect metrics to substantiate release decisions
• Provide support and assistance to business and users on reported production issues
• Creates temporary "work-arounds" for immediate customer/ end users issues
• Communicate with PMs and engineers on reported issues
• Participate in product discussions & refine the acceptance criteria
• Communicate high-value use cases and customer feedback to the product team

The ideal candidate must have -

• At least 2 years of practical experience in defining, developing, maintaining and executing test cases
• Prior experience dealing with full product development lifecycles and multiple releases
• Experience of working with Web, Mobile, and API Testing
• Basic understanding of good programming practices, architecture and design patterns
• Knowledge of Performance & Security Testing
• Solid analytical & problem-solving skills and experience of working in Agile process management methodology
• Should be excellent at communication, be able to explain ideas clearly.
• Must be extremely proactive and self-starter.
• Good knowledge of test automation tools like PyTest, Mocha, Cypress or comparable is a big plus.

• Design and Build sophisticated and highly scalable apps using flutter.
• Build custom packages in Flutter using the functionalities and APIs already available in native Android and IOS.
• Translate and Build the designs and Wireframes into high quality responsive UI code.
• Write efficient queries for core Data.
• Explore feasible architectures for implementing new features.
• Resolve any problems existing in the system and suggest and add new features in the complete system.
• Suggest space and time efficient Data Structures.
• Follow the best practices while developing the app and also keeping everything structured and well documented.
• Document the project and code efficiently.
• Manage the code and project on Git in order to keep in sync with other team members and managers.
• Interact with the Product Manager to help understand end-user feedback.
• Ensure security guidelines are always followed while developing the app.
• Suggest new features and/or enhancements.
• Maintain software through product lifecycle including design, development, verification and bug fixes.
• Resolve all the bugs in a timely manner.
• Execute app verification protocol.
• Follow company policies and quality procedures to ensure quality product deliverables.
• If you have experience with Bluetooth Low Energy (BLE) based devices and related applications please highlight the same in your resume