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Role: Senior AI Engineer

Work Location: TechGenzi Coimbatore Office (ODC for Tiramai.ai)

Employment Type: Full-time

Experience: 2–5 years (Full-stack development with AI exposure)

About the Role & Work Location.

The selected candidate will be employed by Tiramai.ai and will work exclusively on Tiramai.ai projects. The role will be based out of TechGenzi’s Coimbatore office, which functions as an Offshore Development Center (ODC) supporting Tiramai.ai’s product and engineering initiatives.

Primary Focus

As an AI Engineer at our enterprise SaaS and AI-native organization, you will play a pivotal role in building secure, scalable, and intelligent digital solutions. This role combines full-stack development expertise with applied AI skills to create next-generation platforms that empower enterprises to modernize and act smarter with AI. You will work on AI-driven features, APIs, and cloud-native applications that are production-ready, compliance-conscious, and aligned with our mission of delivering responsible AI innovation.

Key Responsibilities

• Design, develop, and maintain full-stack applications using Python (backend) and React/Angular (frontend).
• Build and integrate AI-driven modules, leveraging GenAI, ML models, and AI-native tools into enterprise-grade SaaS products.
• Develop scalable REST APIs and microservices with security, compliance, and performance in mind.
• Collaborate with architects, product managers, and cross-functional teams to translate requirements into production-ready features.
• Ensure adherence to secure coding standards, data privacy regulations, and human-in-the-loop AI principles.
• Participate in code reviews, system design discussions, and continuous integration/continuous deployment (CI/CD) practices.
• Contribute to reusable libraries, frameworks, and best practices to accelerate AI platform development.

Skills Required

• Strong proficiency in Python for backend development.
• Frontend expertise in React.js or Angular with 2+ years of experience.
• Hands-on experience in full SDLC development (design, build, test, deploy, maintain).
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) or GenAI tools (LangChain, vector DBs, OpenAI APIs).
• Knowledge of cloud-native development (AWS/Azure/GCP), Docker, Kubernetes, and CI/CD pipelines.
• Strong understanding of REST APIs, microservices, and enterprise-grade security standards.
• Ability to work collaboratively in fast-paced, cross-functional teams with strong problem-solving and analytical skills.
• Exposure to responsible AI principles (explainability, bias mitigation, compliance) is a plus.

Growth Path

• AI Engineer (24 years) focus on full-stack + AI integration, delivering production-ready features.
• Senior AI Engineer (4–6 years) lead modules, mentor juniors, and drive AI feature development at scale.
• Lead AI Engineer (6–8 years) own solution architecture for AI features, ensure security/compliance, collaborate closely with product/tech leaders.
• AI Architect / Engineering Manager (8+ years) shape AI platform strategy, guide large-scale deployments, and influence product/technology roadmap.

We’re Hiring: .NET Developer

📍 Location: Gurgaon

🧑‍💻 Experience: 5+ Years

🏢 5 Days Working | WFO

🔧 Roles & Responsibilities:

• 🖥️ Develop & maintain .NET apps (.NET Framework/Core)

• ⚙️ Build secure, scalable web apps (ASP.NET, MVC, Web API)

• 🗄️ Work with Entity Framework & SQL Server

• 🎨 Frontend: HTML, CSS, JS, Angular/React

• 🧪 Write clean, testable code

• 🤝 Collaborate with cross-functional teams

• 🛠️ Code reviews, debugging & performance tuning

• 🔐 Ensure security, scalability & reliability

🧠 Skills & Qualifications:

• 💼 5+ yrs in .NET development

• 💻 Strong in C#, ASP.NET MVC, .NET Core, Web API

• 🗃️ EF + SQL expertise

• 🧱 Full-stack capabilities

• 🔧 OOP & design patterns

• 🗂️ Git knowledge

• 💡 Strong problem-solving skills

Responsibilities:

• Help build model monitoring systems across model types like regression, classification with structured & unstructured datasets.
• Build high-performance multi-tenant deployment architecture that works across frameworks like PyTorch, sklearn, TensorFlow.
• Help realize the product vision: Production-ready machine learning models with monitoring within moments, not months.
• Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors.
• Write maintainable, scalable performant python code, Build high volume and high availability analytics systems, Push the state of the art of MLOPs to push the industry ahead.

Requirements:

• 3+ years work experience with production-grade python- preferably contribution to open source repost.
• Prior experience with ML monitoring, observability & explainability systems, and familiarity with tools for data science like Pandas, Notebooks, Numpy, Scipy, etc.
• Comfortable working in a Linux environment, experience with one relational & 1 non-relational DB is preferred.
• Some working experience with TensorFlow or PyTorch is preferred.
• Experience with model analysis and experimentation frameworks like MLFlow, W& B;, tfma is preferred.

Company Overview 

Universal Transit is a leading auto transport company offering AI-powered car shipping solutions across the United States. Our services include nationwide car shipping, utilizing advanced technology to optimize the shipping process for efficiency, cost-effectiveness, and customer satisfaction. We provide seamless online booking, real-time shipment tracking, and comprehensive auto dispatch services. Universal Transit is committed to exceptional customer service and leveraging industry expertise to meet the unique needs of our clients. Our mission is to revolutionize the auto transport industry through innovative technology and unparalleled service. 

Position Summary 

We are seeking a dedicated Auto Transport Logistics Coordinator (Dispatcher) to join our dynamic team. The ideal candidate will possess strong analytical, mathematical, and logical thinking skills, and be capable of working under pressure. This role involves managing loads, planning routes, and communicating effectively with various stakeholders. We will provide comprehensive training, so prior experience in logistics or auto transport is not required. Applicants should be well-equipped (high-speed internet, a working device with two screens) to work remotely and have excellent English proficiency (at least B2 level). 

Job Title: Auto Transport Logistics Coordinator (Dispatcher). 

Location: Remote (initially for 2-3 months), then onsite Bangalore, India. 

Working Hours: 5 days a week, Monday to Saturday, 8:00 AM - 5:00 PM (New York Time), with a 1-hour lunch break. Off on Sundays and one additional day per week as per the rotating schedule. 

Salary: The base salary is $600 plus bonus. After two months, the base salary will increase to $800, with the potential to earn up to $1,200 through Performance-Based Incentives. 

We are looking for candidates to join our team starting on April at 8:00 AM EST (New York Time). 

Key Responsibilities - 

• Load Management: 
• Locate and secure loads for transport using various load boards and internal systems. 
• Evaluate and select the best loads based on profitability, route efficiency, and driver availability. 

• Route Planning: 
• Plan and optimize routes for drivers to ensure timely and cost-effective deliveries. 
• Monitor and adjust routes as necessary to accommodate changes or issues. 

• Coordination and Communication: 
• Communicate with pickup and delivery locations to confirm schedules and ensure smooth operations. 
• Act as a liaison between drivers and brokers to coordinate load details and resolve any issues. 

• Paperwork and Documentation: 
• Prepare and manage all necessary paperwork for each transport, including bills of lading, shipping orders, and delivery receipts. 
• Ensure all documentation is accurate and up to date in the system. 

• Order Creation and Management: 
• Enter orders into internal and external systems. 
• Track and manage orders throughout the transport process to ensure timely completion. 

• Problem Resolution: 
• Address and resolve any issues that arise during the transport process, including delays, cancellations, and customer complaints. 
• Provide solutions and alternatives to minimize disruptions and maintain customer satisfaction. 

• Compliance and Safety: 
• Ensure all transport operations comply with relevant regulations and safety standards. 
• Stay updated on industry regulations and company policies. 

Qualifications and Skills 

• High school diploma or equivalent, additional logistics or transportation-related training is a plus. 
• Strong organizational and multitasking abilities. 
• Excellent communication and interpersonal skills in English. 
• Problem-solving skills and the ability to make quick decisions under pressure. 
• Attention to detail and accuracy in paperwork and documentation. 
• Basic knowledge of Microsoft Office Suite (Word, Excel, Outlook, Teams). 

Key Qualities: 

• Attention to Detail: Must be meticulous in managing paperwork and logistics. 
• Strong Communication Skills: Ability to effectively communicate with brokers and internal teams. 
• Problem-Solving Ability: Should be able to anticipate and address logistical challenges. 
• Time Management: Capable of managing multiple tasks and meeting deadlines. 
• Adaptability: Should be comfortable with changing priorities and quick decision-making. 

Work Environment: 

• This is a remote position, the candidate must be comfortable working in a home office and have high-speed internet, and a working device with two screens. 
• The role involves regular virtual meetings. 

Link to apply - https://tally.so/r/mDMO5p

Role Overview:

We are looking for a highly motivated and dynamic B2B Sales Executive with experience in the fashion/textile industry. This role involves managing end-to-end sales processes, from lead generation to deal closure and You will work on identifying business needs, conducting sales calls, performing client research, and driving sales growth. A passion for sustainability and knowledge of sustainable practices in the fashion/textile industry is crucial for success in this role.

Key Responsibilities:

B2B Sales & Lead Generation:

• Identify and prospect potential business clients in the fashion/textile industry through lead generation techniques such as cold calling, email outreach, and networking.
• Conduct client research to understand business needs, challenges, and offer tailored solutions.
• Use CRM tools to track, manage, and update sales leads and opportunities.

Sales:

• Conduct sales calls with prospective clients to identify their pain points, needs, and determine the best solutions.
• Define and identify the ideal customer profile (ICP) to ensure targeted outreach and maximize sales opportunities.
• Provide platform demos to showcase our solutions, particularly focusing on sustainability features.

Negotiation & Deal Closure:

• Lead negotiations with clients, managing pricing, contract terms, and implementation timelines.
• Finalize contracts with internal teams, ensuring smooth deal closures and meeting sales targets consistently.

Sustainability Knowledge:

• Leverage knowledge of sustainability practices to educate clients and align solutions with their environmental goals.
• Promote the sustainability features of our products, helping clients reduce their environmental footprint.

Required Skills & Qualifications:

• Experience: 2-4 years of experience in B2B sales within the fashion/textile industry or SaaS sales.
• Sales Skills: Proven experience in end-to-end sales, from lead generation to deal closure.
• Negotiation Skills: Strong ability to negotiate and close deals.
• CRM Tools: Proficiency in CRM platforms to manage leads, contacts, and sales pipelines.
• Sustainability Knowledge: Understanding of sustainability principles, especially as they relate to the fashion/textile sector.
• Client Management: Demonstrated success in client onboarding, relationship management, and customer servicing.
• Communication: Excellent communication, presentation, and negotiation skills.
• Problem-Solving: Ability to handle objections and create solutions that align with client goals.

Preferred Qualifications:

• Education: Bachelor’s degree in Business, Marketing, or a related field.

Industry Knowledge: Experience in selling fashion/textile industry solutions or working with fashion/textile businesses focused on sustainable

• 5-8 years of experience as a Java/J2EE developer.
• 1-3 years of experience with Angular / React is desirable.
• 1-3 years of experience in using Spring and Spring Boot frameworks.
• Thorough knowledge of server-side development.
• Proven experience as a Full Stack Developer or similar role.
• Good understanding of web services (WSDL SOAP, RESTful).
• Hands-on experience in using Application Servers like WebSphere.
• Expertise in relational databases (Oracle, SQL Server).
• E-commerce domain knowledge is desirable.
• Prior experience in developing desktop and mobile applications.
• Familiarity with common stacks.
• Knowledge of multiple frontend languages and libraries, like HTML/ CSS, JavaScript, XML, jQuery.
• Experience in implementation of Microservices
• Experience with AWS (S3, SQS, SNS, ECS, EC2, ALB, API Gateway, Lambda, etc.) is highly desirable
• Good understanding of Docker & Kubernetes is highly desired.
• Familiarity with databases (MySQL, MongoDB, PostgresSQL), web servers (Apache), and UI/UX designs.