Graphic Designer

Experience: Must have min. 1 year of experience in the US Shift, Communication skills should be excellent

Work Location: Jaipur (Relocations can be considered)

Notice Period: Need only immediate joiners

Working Hours: 6:30 PM - 3:30 AM (Rotational shift)

JOB DESCRIPTION

·  Handle 40–50 inbound customer calls daily

·  Assist with order cancellations, refunds, returns, and payment-related issues

·  Provide professional and empathetic customer support

·  Maintain service quality and adhere to KPIs

·  Document customer interactions accurately in the CRM system

At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.

For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.

As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

Job Overview 

Principal Data Engineer

About Engineering at Mitratech Legal Solutions 

Mitratech's engineering organization is a collaborative and dynamic environment where engineers are empowered to drive technical direction and innovation. Our engineers are passionate about delivering high-quality products and solutions that meet the evolving needs of our customers, and we're committed to fostering a culture of continuous learning and growth. 

About the Role 

Mitratech is a fast-paced and dynamic environment, and this role requires someone who is adaptable, resilient, and able to thrive in a rapidly changing landscape. If you’re a seasoned engineer with a passion for technical leadership, innovation, and collaboration — including building the data foundations that power trusted reporting and agentic AI-driven products — we’d love to hear from you. 

What You Will Do

•  Drive technical direction for a significant product domain or platform capability, ensuring alignment with business objectives and customer needs 

•  Design and maintain data pipelines and reporting models that power trusted business metrics and increasingly feed agentic AI systems (e.g., RAG ingestion, embeddings, vector stores, AI agent workflows) 

•  Use AI-assisted and agentic engineering tools (e.g., Claude Code, Copilot, Cursor, AI agents) as part of your own workflow, and help other engineers adopt agentic development practices effectively 

•  Reduce systemic complexity by identifying and leading architectural debt remediation, and developing strategies for ongoing technical debt management 

•  Partner with Product and Engineering leadership to inform multi-quarter roadmap feasibility, and provide technical guidance and oversight to ensure successful implementation 

•  Elevate engineering craft across multiple teams through RFCs, mentorship, and knowledge sharing, and develop training programs to improve engineering skills and knowledge 

•  Represent Mitratech’s technical capabilities externally, including speaking at conferences, contributing to open-source projects, and engaging with industry peers and thought leaders 

What We Are Looking For 

To be successful in this role, you will need: 

•  10+ years of experience in software engineering, with a focus on technical leadership and architecture 

•  Deep understanding of data engineering principles, including data modeling, data warehousing, reporting, and data governance 

•  Strong technical expertise in SQL, PostgreSQL, ETL/ELT pipelines, BI tools, and analytics platforms 

•  Practical experience with AI/LLM-adjacent and agentic AI data work — e.g., RAG ingestion pipelines, embedding generation, vector store management, or building/operating AI agent workflows over data — using AI coding assistants (Claude Code, Copilot, Cursor, or similar) as a regular part of the engineering workflow 

•  Working knowledge of modern cloud platforms such as AWS 

•  Experience with BI, reporting, dashboards, and customer-facing analytics 

•  Experience leading cross-functional initiatives with product, engineering, analytics, and business teams 

Nice to Have 

•  Working knowledge of Ruby on Rails and React 

•  Experience with a semantic or metrics layer (e.g., dbt Semantic Layer, headless BI) 

•  Understanding of CI/CD, Git-based workflows, and infrastructure-as-code 

The Stack Context 

•  Modern data stack: Fivetran, Airbyte, dbt, Snowflake, GitHub, Terraform, or similar tools 

•  Application context (nice to have): Ruby on Rails, React, or similar backend/frontend frameworks 

•  Data modeling: SQL, analytics models, documentation, testing, naming standards, and version control 

•  Infrastructure: cloud-based data infrastructure, infrastructure-as-code, CI/CD, monitoring, and cloud storage 

•  Data workflows: ingestion, transformation, orchestration, reporting, deployment, and change management 

•  Reporting focus: trusted metrics, scalable reporting models, dashboards, exports, and data quality 

•  AI surface: data pipelines and quality practices supporting AI/LLM and agentic AI use cases (RAG, embeddings, vector stores, AI agents) alongside traditional BI 

Why This Role 

This role offers a unique opportunity to drive technical direction and innovation at a rapidly growing company, while also mentoring and coaching engineers to improve their craft. As a Principal Data Engineer at Mitratech, you will have the chance to work on complex and challenging problems spanning trusted reporting and agentic AI systems, collaborate with cross-functional teams, and represent the company's technical capabilities externally. If you're looking for a role that offers a mix of technical leadership, data and reporting depth, agentic AI innovation, and collaboration, this could be the perfect fit for you. 

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.

 Key Responsibilities

AI Model Development 

 - Design and implement advanced Generative AI models (e.g., GPT-based, LLaMA, etc.) to support applications across various domains, including text generation, summarization, and conversational agents.

 - Utilize tools like LangChain and LlamaIndex to build robust AI-powered systems, ensuring seamless integration with data sources, APIs, and databases.

Backend Development with FastAPI

 - Develop and maintain fast, efficient, and scalable FastAPI services to expose AI models and algorithms via RESTful APIs.

 - Ensure optimal performance and low-latency for API endpoints, focusing on real-time data processing.

Pipeline and Integration

 - Build and optimize data processing pipelines for AI models, including ingestion, transformation, and indexing of large datasets using tools like LangChain and LlamaIndex.

 - Integrate AI models with external services, databases, and other backend systems to create end-to-end solutions.

Collaboration with Cross-Functional Teams

 - Collaborate with data scientists, machine learning engineers, and product teams to define project requirements, technical feasibility, and timelines.

 - Work with front-end developers to integrate AI-powered functionalities into web applications.

Model Optimization and Fine-Tuning

 - Fine-tune and optimize pre-trained Generative AI models to improve accuracy, performance, and scalability for specific business use cases.

 - Ensure efficient deployment of models in production environments, addressing issues related to memory, latency, and resource management.

Documentation and Code Quality

 - Maintain high standards of code quality, write clear, maintainable code, and conduct thorough unit and integration tests.

 - Document AI model architectures, APIs, and workflows for future reference and onboarding of team members.

Research and Innovation

 - Stay updated with the latest advancements in Generative AI, LangChain, and LlamaIndex, and actively contribute to the adoption of new techniques and technologies.

 - Propose and explore innovative ways to leverage cutting-edge AI technologies to solve complex problems.

Required Skills and Experience

Expertise in Generative AI 

Strong experience working with Generative AI models, including but not limited to GPT-3/4, LLaMA, or other large language models (LLMs).

LangChain & LlamaIndex 

Hands-on experience with LangChain for building language model-driven applications, and LlamaIndex for efficient data indexing and querying.

Python Programming 

Proficiency in Python for building AI applications, working with frameworks such as TensorFlow, PyTorch, Hugging Face, and others.

API Development with FastAPI 

Strong experience developing RESTful APIs using FastAPI, with a focus on high-performance, scalable web services.

NLP & Machine Learning 

Solid foundation in Natural Language Processing (NLP) and machine learning techniques, including data preprocessing, feature engineering, model evaluation, and fine-tuning.

Database & Storage Systems Familiarity with relational and NoSQL databases, data storage, and management strategies for large-scale AI datasets.

Version Control & CI/CD 

Experience with Git, GitHub, and implementing CI/CD pipelines for seamless deployment.

Preferred Skills

Containerization & Cloud Deployment 

Familiarity with Docker, Kubernetes, and cloud platforms (e.g., AWS, GCP, Azure) for deploying scalable AI applications.

Data Engineering 

Experience in working with data pipelines and frameworks such as Apache Spark, Airflow, or Dask.

Knowledge of Front-End Technologies Familiarity with front-end frameworks (React, Vue.js, etc.) for integrating AI APIs with user-facing applications.

Job: International Business Development Executive

🏢 Industry: BPO / Call Centre

🕒 Work Hours: 4:30 AM – 1:30 PM IST (Mon-Fri)

Location: Gurugram

🚖 Transport: Both-side cab within hiring zone

💼 Experience: 1–3 years in outbound B2B sales (Intl. BPO, Energy/Telecom preferred)

🔹 Role Overview:

• 🌏 Work with Australian clients in Energy, Telecom & Cybersecurity
• 📈 Drive B2B sales and grow business
• 🤝 Build strong client relationships

🔹 Responsibilities:

• 📞 Make outbound sales calls & convert leads
• 🏢 Connect with key decision-makers
• 📝 Maintain sales reports & client database
• 🎯 Achieve and exceed sales targets
• 💡 Understand client needs & offer solutions
• 🤝 Collaborate with internal teams for smooth service

🔹 Skills Needed:

• 💬 Excellent communication (verbal & written)
• 🚀 Outbound sales expertise & target-driven
• 🧩 Problem-solving & motivated mindset
• 💻 Tech-savvy: CRM, MS Office, Excel, PowerPoint

🔹 Education:

• 🎓 Bachelor’s (any field)
• 🎓 Postgraduate preferred

🔹 Perks:

• 💰 Competitive salary + incentives
• 🏖️ Weekends off
• 📈 Career growth & learning opportunities
• 🌟 Inclusive, vibrant, and collaborative culture
• 🌍 Exposure to international business & clients

📧 Interested? Send your resume

In this role, you will:

• Oversee and manage the project pipeline, ensuring alignment with business objectives and resource availability.
• Collaborate with Sellers, Finance, Leadership, and Legal teams to facilitate contract negotiation, closure, and achieve targeted business outcomes.
• Act as a bridge between Sellers and the Professional Services team, ensuring seamless communication and alignment of project & services objectives.
• Maintain close communication with the sales team to understand client expectations and requirements, offering tailored solutions and insights accordingly.
• Help the Resource Managers make informed resourcing decisions based on the project pipeline, optimizing team capabilities and project requirements.
• Develop intuitive reports and dashboards, leveraging data to derive insights, monitor progress, and facilitate informed decision-making, providing concise and informative updates to leadership.
• Analyze metrics and key performance indicators within the Professional Services team, identifying trends and areas for improvement.
• Drive the creation of Standard Operating Procedures (SOPs) for the Professional Services function, seeking opportunities for process improvement within the delivery workflow.
• Work collaboratively with diverse teams to identify business problems, develop solutions, streamline operations, implement automations, integrations, and simplify operating processes.

What you should have?

• The street smart way to drive
• SaaS company experience
• It is essential to have good English communication skills.
• It would be preferable to have 2 to 8 years' experience in an Operations or similar role. Experience with SaaS and Customer Service is a plus.
• Hands-on experience with Salesforce or other CRM tools..
• Having experience with reporting tools and knowledge of CPaas, Firewall
• Action-oriented and excellent interpersonal skills
• Collaborative skills across departments.

Role: Senior Software Test Engineer

Max Budget:-21 LPA  

Are you strong in code-driven test automation?

Do people come to you seeking advice on how to make testing more efficient?

As a part of multiple, small product teams practicing Agile, you will do it all: develop test strategies, test

new products, and code automated and performance tests that push our products to their limits!

Responsibilities:

• Analyze product specs, decompose complicated software systems, and design strategies to test

these systems.

• Work as an Agile team member participating in backlog grooming, sprint planning and task

estimation.

• Devise automation test strategies, expand and maintain test automation for the applications you

support.

• Represent Test Engineering in any technical discussion, decision and design involved during

product development.

• Drive adoption of new test strategies and tools you are passionate about.

• Mentor and guide others on the team.

Required experience:

• 6+ years of experience in Software Testing.

• 4+ years of automation experience testing Web, Mobile applications using Java.

• Solid experience testing and automating REST services.

• Extensive experience using SQL databases

• Experience with Git, Jenkins & Maven

• Passion for finding problems with software, figuring out solutions, and helping ensure they never

happen again.

• Strong written and verbal communication skills.

• Strong knowledge of QA methodologies, tools, and processes.

• Bright, motivated, and intellectually curious (you know if you are!)

• Bachelor’s degree in computer science or related information technology degree (or at least 7+

years of industry experience).

Preferred experience:

• Experience using NoSQL databases like MongoDB

• Experience working in cloud platforms like AWS

Job Requirements

• Experience in ReactJS and its main fundamentals like JSX, Virtual DOM, component lifecycle, etc.
• Strong proficiency in JavaScript, object model, DOM manipulation and event handlers, data structures, algorithms, JSX, and Babel.
• Experience with browser-based debugging and performance testing software.
• Good understanding of HTML, CSS, ES6.
• Knowledge of Unit testing frameworks..

Job Responsibilities

• Design, build and maintain software applications.
• Write well-designed, testable, efficient code by using best software development practices.

• To appoint Block Sales Manager in their respective Districts.
• To manage sales operations in assigned district to achieve revenue goals.
• To supervise sales team members on daily basis and provide guidance whenever needed.
• To identify skill gaps and conduct trainings to sales team.
• To work with team to implement new sales techniques to obtain profits.
• To assist in employee recruitment, promotion, retention and termination activities.
• To conduct employee performance evaluation and provide feedback for improvements.