Test Automation Engineer

Job Title: MIS Executive

Location: Navi Mumbai

Experience Required: 1–3 Years

Industry: Real Estate or Wood Manufacturing

Job Summary

 Collect, compile, and analyze data from various departments to prepare daily,

weekly, and monthly reports.

 Create dashboards, pivot tables, charts, and other reporting formats using MS Excel

or BI tools.

 Maintain and update internal databases, spreadsheets, and reporting templates.

 Automate reports and data processes to reduce manual work.

 Identify trends, anomalies, and key insights through data analysis.

 Coordinate with cross-functional teams to gather requirements and deliver

customized reports.

 Ensure data accuracy, consistency, and confidentiality always.

 Support the management team with ad-hoc data and reports as needed.

Key Skills & Requirements

 Bachelor’s degree in commerce, IT, Business Administration, Statistics, or a related

field.

 1–3+ years of experience in MIS, reporting, or data analysis roles.

 Proficiency in MS Excel (VLOOKUP, HLOOKUP, Pivot Tables, Macros, etc.).

 Working knowledge of SQL, Power BI, or Tableau is a plus.

 Strong analytical and problem-solving skills.

 High attention to detail and accuracy.

 Good communication skills for coordinating with multiple departments.

Benefits

 Competitive salary and performance-based incentives

 Opportunities for skill development and certification

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!)

Unico Connect is a forward-thinking technology company dedicated to pushing the boundaries of what's possible in the digital world. We are seeking an experienced Senior Node.js Developer to join our team. In this role, you will work on a wide range of exciting projects, from building robust backend systems with Node.js to exploring NoCode platforms and integrating AI tools & solutions. 

Responsibilities

1. Node.js Development: Design, develop, and maintain backend systems and RESTful APIs using Node.js. Ensure scalability, performance, and reliability of server-side applications.
2. Relational Databases: Work with relational databases (e.g., PostgreSQL, MySQL) to design, create, and optimize database structures, and implement data models.
3. NoCode Platforms: Collaborate with cross-functional teams to explore and evaluate NoCode platforms for rapid application development and automation.
4. OpenAI API Integration: Utilize OpenAI APIs to integrate language generation and understanding capabilities into our applications.
5. Language Model Exploration: Perform exploratory tasks related to Language Models, such as creating and fine-tuning models, and experimenting with various use cases.
6. Performance Optimization: Identify and resolve performance bottlenecks and ensure the efficient use of resources.
7. Security: Implement best practices for data security and access control, including user authentication and authorization.
8. Documentation: Maintain detailed technical documentation, including API documentation and database schemas.
9. Code Reviews: Participate in code reviews and mentor junior developers to ensure code quality and best practices are followed.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• 4+ years of proven experience as a Node.js developer with a strong portfolio of relevant projects.
• Solid experience with relational databases, including database design and SQL.
• Familiarity with NoCode platforms or a willingness to learn and adapt to new technologies.
• Experience working with cloud services such as AWS or GCP, setting up instances, deploying applications. 
• Experience in implementing API caching using Redis or similar.  
• Understanding of OpenAI APIs and a strong interest in Language Model technologies.
• Proficiency in JavaScript and server-side scripting.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.
• Ability to work in a collaborative, fast-paced environment.

Nice to Have

• Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Experience with GraphQL.
• Experience with implementing queue management systems such as RabbitMQ, Kafka, SQS.
• Previous experience working with natural language processing (NLP) technologies.
• Knowledge of DevOps and CI/CD practices.

Skills

• Node.js
• JavaScript
• Express.js
• MongoDB
• RESTful

Key Responsibilities :

- Design, develop, and maintain applications using Java and Kotlin

- Write clean, scalable, and efficient code

- Build and consume RESTful APIs and microservices

- Participate in all phases of the software development lifecycle

- Work with databases like MySQL, PostgreSQL, or MongoDB

- Collaborate with cross-functional teams including Product, QA, and DevOps

- Conduct unit testing and assist in code reviews

- Troubleshoot and debug applications

- Ensure application performance, security, and scalability

Required Skills :

- Strong programming experience in Java (Core/Advanced)

- Experience in Kotlin

- Solid understanding of OOP concepts, design patterns, and data structures

- Experience with frameworks such as Spring Boot, Ktor, or Android SDK

- Proficient in building and consuming RESTful APIs

- Familiarity with Git, JIRA, and CI/CD tools

- Basic knowledge of unit testing frameworks like JUnit or Mockito

💥 What will you do?

As a Backend Engineer, you will

• Create and maintain server-side code
• Designing database schemas to support business requirements
• Building reusable code and libraries for future use
• Troubleshoot and debug applications
• Write unit tests
• Stay up to date with current best practices
• Collaborate with front end engineers
• Optimization of the application for maximum speed and scalability
• Work with stakeholders including the Executive, Product, Data, and Design teams to assist with web-application-related technical issues and support their requirements.

🙋 What are we looking for? 

While we do not have a strict list of requirements for candidates interested in this role, some indicators that you would fit this role and our engineering culture are 

• 2+ years of relevant work experience as a Backend engineer using Python frameworks like Django, Flask, etc
• Experience with relational databases like MySQL, PostgreSQL
• Good understanding of OOP concepts
• Understanding of code versioning tools, such as Git
• Basic understanding of front-end technologies and platforms, such as JavaScript, HTML5, and CSS3.
• Experience writing unit tests for the application is a plus
• Experience with building REST APIs
• Superior analytical, conceptual, and problem-solving skills.
• Strong verbal and written communication skills in English.

Job brief

We are looking for an ambitious and energetic Business Development Manager to help us expand our clientele. You will be the front of the company and will have the dedication to create and apply an effective sales strategy.

The goal is to drive sustainable financial growth through boosting sales and forging strong relationships with clients.

Responsibilities

• Develop a growth strategy focused both on financial gain and customer satisfaction
• Conduct research to identify new markets and customer needs
• Arrange business meetings with prospective clients
• Promote the company’s products/services addressing or predicting clients’ objectives
• Prepare sales contracts ensuring adherence to law-established rules and guidelines
• Keep records of sales, revenue, invoices etc.
• Provide trustworthy feedback and after-sales support
• Build long-term relationships with new and existing customers
• Develop entry level staff into valuable salespeople 

Requirements and skills

• Proven working experience as a business development manager, sales executive or a relevant role
• Proven sales track record
• Experience in customer support is a plus
• Proficiency in MS Office and CRM software (e.g. Salesforce)
• Proficiency in English
• Market knowledge
• Communication and negotiation skills
• Ability to build rapport
• Time management and planning skills

.Net Full stack/Backend 

Responsibilities:

• Design, implement and test new features (frontend and backend), while maintaining and improving existing product line, with main focus on performance, scalability and usability aspects.
• Building application using of Microsoft Technologies stack (ASP.Net, .Net Core, WEB API)
• Hands on experience in leading micro front end applications and enterprise scale projects involving integrations to different touch points
• Apply coding/implementation best practices to produce elegant, high quality and reusable code.
• Collaborate with other developers and UX designers to improve look and usability.
• Implement Proof of Concept to validate concepts or new technology/features prior to product implementation.
• Implement and follow security best practices for web applications.
• Monitor and evaluate new technologies and their evolution in order to keep our products/technologies up-to-date and our team continuous improvement.
• Write good quality design and specification documents, in Confluence.
• Regularly archive source code and assets into source code repository. Perform code review of other team members and provide feedback/guidance.

Qualifications/Requirements

• Minimum of 3 years of Microsoft Technologies stack (ASP.Net, MVC, WEB API) having web development and UI development experience (frontend and backend).
• Proficient understanding of Single Page Application architecture and frameworks
• Must have exposure to any Relational DB (MSSQL, MYSQL).
• Strong understanding of data structure, SOLID Principles and problem solving skills.
• Strong understanding of Design Patterns for Real world problems.
• Conceptual knowledge of multi-threaded programming and performance monitoring tools.
• Experience in working on trending technologies, .Net Core, Node JS, NoSQL Databases.
• Experience in Micro-services architecture & Micro front end applications
• Experience with Unit Testing framework.
• Proficient understanding of Web UI test methodologies, frameworks and tools, such as BDD, Selenium.
• Proficient understanding of web markup, protocol and client-side scripting technologies in general, including HTML5, CSS3, JavaScript, AJAX, JSON, JQuery, REST API, Angular.
• Must possess strong attention to details, high aesthetical taste, and ability to apply user-centric design approach to produce a delightful and highly usable UI/UX.
• Additional Knowledge/experience Is a Plus
• Experience with automated deployment and associated technologies (helm/yaml/ansible/docker)
• Familiarity with code versioning tools
• Experience in Security Domain or Security Tools for Application Validation/Scanning will be a plus.
• Ability to effectively communicate design, specification, test and implementation details.
• Occasional flexibility to work outside of normal business hours to collaborate with remote teams.
• Proven tracks on the ability to work independently on assigned tasks.
• Excellent analytical and multitasking skills and ability to perform well in a fast-paced environment.

Key Skills:

.NET Core, .NET MVC, .NET , Windows services, Websockets , Client server , REST API, Angular JS , Angular 8+ , dockers , micro services

Responsibilities:

• Understand the requirement and purpose of implementation.
• Implement modules with individual products and come up with impact and own ideas and solutions.
• Troubleshooting issues across environments.
• Responsible for monitoring, highlighting and troubleshooting issues across environments.
• Responsible for design and develop the components as per the requirement.
• Technical documentation, design and development using tools and technologies like HTML5, JAVA and Angular JS etc.
• Complete the build of code on time and as per application coding standards, and perform unit testing.

Requirements:

• Strong Expertise and experience in HTML5, charting libraries, JavaScript, jQuery, Angular(2+) or ReactJS

• Strong hands-on experience in Web services (REST)
• Proficient knowledge in D3.JS
• Good understanding of user interactions
• At least involved in one live project on D3.JS
• Handson on Visualisations

• Knowledge in Nodejs
• Knowledge in React JS / Angular 2+
• Good understanding of cloud computing platforms and its services
• Experience in UI, UX, data visualisations, usability, design aspects and user stories