Electricians ITI Technicians- Electrical/ Electronics

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!)

Must-Have Skills

1. Mobile Test Automation – Strong hands-on experience in Espresso (Android),

XCUITest (iOS), and WebDriverIO for web & mobile hybrid apps.

2. Programming Languages – Proficiency in Java, Kotlin, Swift, and

JavaScript/TypeScript.

3. Test Frameworks & Tools – Experience with JUnit, TestNG, Mocha, Appium

(optional), WebDriverIO.

4. CI/CD & DevOps – Hands-on experience in Jenkins, CircleCI, GitHub Actions, and

Bitrise.

5. Version Control – Strong knowledge of Git, GitHub, Bitbucket.

6. Cloud Device Testing – Experience with Sauce Labs, BrowserStack, AWS Device

Farm, or Firebase Test Lab.

7. API Testing – Hands-on experience with Postman, REST Assured, or Kotlin for

API automation.

8. Performance Testing – Exposure to mobile performance testing using tools like

Android Profiler, Xcode Instruments, JMeter.

9. Agile & Collaboration – Familiarity with JIRA, Rally, Confluence, and working in

Agile environments.

10. Debugging & Troubleshooting – Strong ability to debug test failures and optimize

automation performance.

Develop and execute automation test scripts for Android (Espresso/JetPack

Compose) and iOS (XCUITest) applications.

● Work closely with development and QA teams to ensure complete test coverage

and seamless integration.

● Maintain and optimize existing test automation frameworks for scalability,

reliability, and performance.

● Set up and manage automation testing workflows in CI/CD pipelines using Jenkins, CircleCI, and other tools.

At StarApps, our Customer Support Specialist plays a crucial role in providing expert assistance for our products and related technologies. As our products cater mostly to Shopify store owners, the Customer Support Specialist is well-versed in Shopify products.

This customer-facing technical position requires the specialist to troubleshoot and resolve customer issues promptly, ensuring exceptional support is provided with a high level of product knowledge and effective communication skills. Our ultimate goal is to surpass customer expectations consistently.

We cater to businesses of all sizes worldwide, and to support these entrepreneurs, you must possess an entrepreneurial mindset and have a comprehensive understanding of e-commerce technologies. The Customer Support Specialist serves as a key intermediary between our customers and the Engineering/Product teams.

What you'll be doing:

• Engage with customers, understand their needs, advise them, and solve their problems.
• Research, diagnose, troubleshoot, and identify solutions to resolve customer issues.
• Log Software defects using a bug-tracking system and work closely with the engineering team to analyze defects and track them to resolution.
• Answering pre-sales questions of potential customers, follow-up with them, and helping in onboarding.
• Record cancellation reasons for customers & work with the business teams and product teams to find solutions to take proactive steps to reduce churn.
• Work with the product management team to continuously evolve the product based on customer feedback including issues raised & new feature requests.

Professional Competencies

• Demonstrated excellence in working with cross-functional and multi-disciplinary teams.
• Outstanding written & spoken communication skills.
• Well-organized with utmost care for details, along with excellent comprehending skills to address issues.
• Strong time-management and prioritization skills to work with multiple customers.
• Good Understanding of web technologies like HTML & CSS

Desired Skills & Experience

• Bachelor’s Degree Computer Science Related
• Minimum 2 years of experience in a customer support role
• Strong problem-solving skills
• Organized and reliable self-starter who can work independently

What we offer:

• We care about you; therefore, you'll be offered a competitive salary.
• We'll support your professional development however you need, whether it's with equipment, courses, books, or conferences.
• Flexible holiday policy to help you plan your vacations better.
• Performance-based rewards and incentives.

For more details about our products and why our customers love us, look at our apps and their reviews here: https://apps.shopify.com/partners/starapps-studio

This might change your life. Well, maybe not, but it'll be worth it.

Apply right away!

Title: Education Counsellor

Company: Soft Crayons Tech Solutions

Locations: Noida Sector-2, Uttar Pradesh

Experience: Minimum 1 year in training

About Us:

Soft Crayons Tech Solutions is a leading technology training institute dedicated to providing high-quality education in various design and IT domains, Noida Sector-2,

Key Responsibilities:

Your primary role is to provide guidance and support to students in their academic and career endeavors. . Your responsibilities include assessing students' interests, skills, and goals, and then offering advice on course selection like, SOFTWARE TESTING,DIGITAL MARKETING,GRAPHIC DESIGNING,SECURITY,APP DESIGN, AUTOCAD , DATA SCIENCE Additionally, you will stay updated on admission requirements to provide accurate information to clients. Excellent communication skills, empathy, and a deep understanding of various educational pathways are essential for success in this role. Your guidance will empower students to make well-informed decisions that shape their future educational and career achievements.

Minimum 1 year of experience

Excellent communication and presentation skills.

Ability to adapt training methods to accommodate various learning styles.

Patience, empathy, and a passion for teaching and mentoring

What you need to have:

Roles & Responsibilities:

The candidate is expected to create and lead a team of engineers and drive dev efforts for

Medibuddy and its various products.

The candidate will be part of the Engineering leadership team (IIT/IIM grads) and will help

strategise, execute product roadmap.

Work closely with Product and business teams to strategize or design the features and

product experiments.

Lead a team of 10+ Engineers [backend and/or mobile]

Responsible for engineering delivery in platform & product engineering pods at Medibuddy.

Scale the technology architecture, team and product to drive a 10x growth in next 12-24

months.

Code and Architect key features that form backbone of DocsApp

Conduct performance reviews and mentor and guide the team reporting

Drive adoption best engineering practices in the team and the organization

1. Deliver high quality, scalable and maintainable code at a fast pace.Skills & Qualifications:
2.  9+ yrs. relevant experience in consumer tech/ or SaaS space.
3. Tier 1 background (IIT/BITS/IIIT/NIT), Pass-out from 2014 batch or earlier.

Strong Technical Background: You have strong programming, architecture, DevOps and QA

chops. You should have experience working with a diverse engineering stack in a fast-paced

environment.

Biased toward action. You must be able to do more with less and turn would-be blockers into

opportunities for growth.

Balancing Short Term with Long Term - You have demonstrated strategic execution

balancing short term tactical execution with long term vision. You should be able to adapt

quickly as per the demands of the situation.

Efficient Execution - You must be persuasive, patient, compassionate and possess exquisite

prioritization skills.

Prior management and team-building experience. You'll be managing several direct reports

initially and will have the opportunity to scale and build out a high-performing engineering

team.

Stakeholder management - You complement product and business owners with finding the

right solutions in a timely manner.

Past entrepreneurial experience is a big plus.

Strong grasp of Nodejs/Python stack

Databases/Datastores : Mysql , Redis / Memcache , MongoDB

1. Basic Understanding of Android, iOS, Web Application stacks
2. One of SQS, RabbitMQ, SNS
3. Familiarity with AWS and its services including RDS, ECS, EBS, Cloudwatch, ELK, Redshift
   
   Nice to have -

Logging : ELK, Cloudwatch.

Frontend : html , css , Javascript

Protocols : HTTP, XMPP, MQTT, Socket.io, TCP

Job Description :

You're going to be at the core of our development team. You'll mainly be coding in Node.js. You'll be doing a little bit of everything from writing backend code that communicates with other internal services, to working with APIs, to writing code that controls EC2 instances and so on.

Requirements :

• Strong understanding of object-oriented programming and functional programming  and design concepts like - dependency injection, abstract classes, interfaces, data, providers, factories, middlewares, interceptors, orm
• Strong understanding of database architecture and design principles MySQL, mongo-DB. Understanding of MongoDB’s aggregation framework is a bonus.
• Excellent knowledge of Node.js frameworks (NestJs preferred) and experience in integrating libraries, authentication, queues, jobs, logger services. Past experience in working on multi-tenant SAAS product is a bonus.
• Experience with AWS, Architecture Design, and Web development. 
• 1+ years of relevant experience
• Passionate about working in a startup and creating a great product
• Must be able to show us projects and or websites that you have created. Bonus points if you’ve created these projects/websites outside of your work (we love seeing proof of how much you love technology and coding).
• Must love to program, must be willing to learn, and must be creative. If you are the type of person who finds learning a new technology or language an exhilarating experience, this is the place for you.

Responsibilities : 

• Working alongside front end developers, designers, and other backend developers creating cutting edge applications
• Delivering programming solutions for a variety of challenging and exciting projects
• Testing applications to ensure they meet users' expectations
• Integrating third-party APIs
• Deliver outstanding projects within tight deadlines