Sr Visual Designer (Illustrator

Job Summary:

We are looking for a creative and motivated Junior Graphic Designer to support our design team in creating high-quality visual content. The candidate should have a basic understanding of design principles, attention to detail, and the ability to work in a fast-paced environment.

Key Responsibilities:

• Assist in designing marketing materials including social media creatives, posters, banners, brochures, and presentations.
• Support senior designers in developing brand-specific graphics and layouts.
• Create simple video edits, reels, or motion graphics (optional, if applicable).
• Collaborate with the marketing and content teams to ensure visual consistency.
• Edit and retouch images as required.
• Maintain proper file organization and follow brand guidelines.
• Handle multiple tasks and meet project deadlines.

Requirements:

• Bachelor’s degree in Graphic Design, Fine Arts, or a related field
• Basic proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign).
• Knowledge of Canva or other online design tools is a plus.
• Good understanding of typography, color theory, and layout design.
• Strong creativity and willingness to learn.
• Ability to take constructive feedback and improve.
• Strong communication and teamwork skills.

Preferred Skills (Optional):

• Basic knowledge of video editing tools (Premiere Pro / After Effects).
• Experience with social media content creation.
• Basic understanding of UI/UX principles.

Role: Full Stack GEN AI Engineer

Location: Remote - Bengaluru

Duration: Fulltime With VDart Digital

The role demands a developer who is not just familiar with Large Language Models (LLMs), but is an expert in building autonomous agentic workflows using the modern GenAI stack (LangChain, CrewAI, Vector DBs). Expertise in system design, cloud-native technologies, and CI/CD for AI-driven applications is essential for this high-impact delivery role.

Responsibilities

· Design, develop, and maintain full-stack applications that are scalable, robust, and meet the company's quality standards, with a specific focus on Generative AI integration.

· Agentic Orchestration: Build and deploy sophisticated multi-agent systems and autonomous workflows using frameworks like LangChain, CrewAI, or LangGraph.

· Collaborate effectively with cross-functional teams to define, design, and ship new features that bridge the gap between raw AI power and intuitive user workflows.

· Exhibit strong problem-solving skills with an emphasis on product development and driving architecture choices that enable a world-class user experience.

· Utilize a variety of modern web technologies and frameworks (React.js, Angular, or Vue.js) to build responsive and accessible user interfaces.

· Develop and maintain RESTful APIs and services with optimal performance and scalability, handling streaming AI responses and complex function-calling logic.

· Ensure code quality, organization, and automatization through best practices, including unit tests for prompts, model evaluation pipelines, and automated CI/CD for AI-driven features.

· Implement and optimize RAG (Retrieval-Augmented Generation) pipelines using Vector Databases and advanced retrieval techniques.

· Adapt to emerging technologies and frameworks, specifically new GenAI tools and frontier models, and apply them to operational and business needs.

· Manage individual project priorities, deadlines, and deliverables with minimal supervision.

Skill Requirements

· Excellent oral and written communication skills, with the ability to articulate complex AI and technical ideas to both technical and non-technical audiences.

· Profound knowledge of application development, data structures, networking, operating systems, and DBMS.

· Strong proficiency in backend programming languages for API development such as Python, Java, JavaScript (Node.js), or Go.

· Expertise in front-end technologies and frameworks such as React.js, Angular, or Vue.js.

· GenAI & Agentic Tools: Deep hands-on experience with LangChain, CrewAI, or AutoGen. Ability to manage agent memory, state, and tool-calling.

· In-depth understanding of SQL/NoSQL databases, data modeling, and experience with Vector Databases for RAG implementations.

· Solid grasp of system design, microservices architecture, and cloud-native technologies including Docker, Kubernetes, and GitHub Actions.

· Experience with distributed computing, machine learning frameworks, and tools, with a primary focus on Generative AI.

· Desirable (Good to Have): Experience with Generative or Adaptive UI development, where the interface dynamically adapts or renders components based on LLM outputs and real-time AI reasoning.

· A strong desire to learn and master new technologies and techniques in the rapidly evolving GenAI landscape.

Qualifications

· Bachelor’s degree in Computer Science, Engineering, or a related field.

· A minimum of 3-5 years of experience in full-stack development, with a proven track record of building and deploying Generative AI applications and agents.

· Portfolio of successfully deployed web applications and services, specifically showcasing AI agents, RAG implementations, or complex AI-driven features.

About the Role

We're looking for a Senior AI/ML Engineer who thrives at the intersection of research and production — someone who doesn't just build models, but ships systems that scale. You'll own the full ML lifecycle: architecting robust data pipelines, training and rigorously evaluating models, and deploying them into high-throughput production environments. This is a role for engineers who want their work to move fast, break assumptions (not systems), and directly shape how AI gets built at scale. If you're energized by turning cutting-edge research into real-world impact, this is your next challenge.

Key Responsibilities

– Design, build, and maintain end-to-end ML pipelines — from raw data ingestion to model serving — with a focus on scalability and reliability.

– Develop, train, and rigorously evaluate ML/DL models using sound experimentation practices (A/B testing, offline/online metrics, statistical validation).

– Own the MLOps lifecycle: implement CI/CD pipelines for model training and deployment, version control for datasets and models, and automated retraining workflows.

– Deploy and monitor models in production using containerized, orchestrated infrastructure (Docker, Kubernetes), ensuring low-latency, high-availability inference.

– Collaborate cross-functionally with Data Engineering, Product, and Backend teams to translate business problems into scalable ML solutions.

– Optimize model performance for cost, latency, and accuracy trade-offs across cloud-based training and inference environments.

– Mentor and guide junior engineers and data scientists — conducting code reviews, sharing best practices, and raising the technical bar of the team.

– Stay current with emerging research (LLMs, generative AI, RAG architectures) and proactively identify opportunities to apply them to existing products.

Required Technical Skills

Languages

– Expert-level Python; working knowledge of R or C++ is a plus.

Frameworks

– TensorFlow, PyTorch, Scikit-Learn, Keras.

Data & Cloud

– Strong SQL and NoSQL fundamentals.

– Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), specifically their ML tooling — SageMaker, Vertex AI, or equivalent.

– Experience with distributed data processing frameworks: Spark, Hadoop.

MLOps & Deployment

– Proficiency with Docker and Kubernetes for containerized deployment.

– Experience building CI/CD pipelines for ML workflows.

– Familiarity with experiment tracking and pipeline orchestration tools like MLflow or Kubeflow.

Advanced / Nice-to-Have

– Practical experience with LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG) architectures.

– Experience fine-tuning transformer-based models for domain-specific use cases.

Qualifications & Experience

– Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.

– 5+ years of hands-on experience building, training, and deploying production-grade AI/ML models at scale.

– Demonstrated track record of taking models from prototype to production in a real-world business setting.

What We Offer

– Competitive compensation, benchmarked to top-tier tech talent in the industry.

– Comprehensive health insurance coverage for you and your family.

– Annual learning & development stipend for courses, certifications, and conferences.

– A collaborative, high-ownership culture where engineering excellence is celebrated.

– The opportunity to work on cutting-edge AI systems with direct, visible impact.

About Tech Transient

Tech Transient is an AI consulting and digital transformation firm headquartered in Coimbatore, Tamil Nadu.

We partner with enterprises and growth-stage companies to design and deliver intelligent digital products — spanning mobile applications, cloud platforms, and AI-driven solutions. Our mission is to translate emerging technology into measurable business outcomes.

ROLES & RESPONSIBILITIES:

• A thorough study of the brand, its values, deliverables, upgrade systems and good communication skills with the client is required.

• A thorough study of the existing product list and their materials is required.

• Management of front desk operations & point of sales

• Receive and respond to customer enquiries as required

• Acquire a thorough understanding of Key customer needs and requirements

• Identify business opportunities by identifying prospects and evaluating their position in the industry; researching and analyzing sales options.

• Engagement in Strategic Planning of Sales and BD

• Setting up meetings with the prospective clients

• Presenting product/ service demonstrations to the client

• Establishing new business links

• Seek new opportunities through networking, cold calling, and social media channels

• Expand the relationships with existing customers by continuously proposing solutions that meet their requirements

• Custom orders or modifications: If there are any requests to personalise the size / material / module / design of an existing product, all the details must be coordinated with the support of the Product

• Design Head (PDH). All inputs need to be communicated with the client, keeping the PDH in Email CC. All finalised details must be thoroughly mentioned in the email and the Proforma invoice before payment confirmation

• Organise to send swatches when asked by clients. All the swatches need to be tagged with the correct coding that is registered by both parties (Client and Design studio)

• Prepare Proforma Invoice as per finalised requirement in the standard software used by the company.

• Ensure all client records are well maintained, accurate and current.

• Organise for payments, provide necessary information and make sure for timely sales. Keep accounts department informed and in email CC at all times.

• Ensuring payment and cash transaction are carefully managed for accuracy and consistency.

• Communicate sales with accounts department and OM at all times.

• Send order confirmation email (As per draft) once the payment is cleared. All such details to be confirmed with OM before sending

• Details will be > Estimated production time, and tentative Delivery date > Shipping time frame > Details with regards to any changes in order before xxx time

• Delivery confirmation email: All necessary information to be gathered from client (As per draft)

> Billing details (Name, address, GST no)

> Shipping details (Name, address, contact person who will receive the consignment)

> Information for Unloading of material

> Width for entry of big sized tempo through the lane / entry gate > Alloted space for parking, and unloading of material, distance to the elevator . staircase

> Floor no / number of flights for stairway

> Availability of service elevator OR Availability of Passenger elevator

> Width of Staircase. Furniture placement guidance / actual space for to keep material.

> Update Client for scheduled timings and any other important communication.

> Keep the client informed if there are any delays with the order, or schedule the exact delivery date in accordance to their availability.

Post Delivery:

• Update from client post delivery and acceptance of goods. Logistics Incharge, SM & OM to be informed of the status of the delivery. Any update or details to be immediately communicated via email to keep record of the conversation.

• Any mishaps or grievances to be addressed by email followed with the necessary acton / solution after consulting with the OM.

• After Sales Service: Thank you email - stating Warranty details

• Assembly Booklet and arrange a video call for assembly assistance, if required.

• Returns & Damages.

• Resolve any complaints, additional requirements post delivery

of goods. All information to be communicated to the necessary department. Any rework, design update, product replacement to be communicated with the OM & OP and PDH. Commitments and solution to be addressed only after approval of the OM.

• Maintaining files and filing system

• Completion of administrative tasks as assigned by Office Manager

• A big part of your job involves gathering and analysing data to help you understand your customer base and coming up with suggestions for improving the existing strategy.

• Identifies product improvements or new products by remaining current on industry trends, market activities, and competitors.

• Take feedback from customers and share it with support teams

• Prepares reports by collecting, analyzing, and summarizing information.

• Maintains quality service by establishing and enforcing organization standards.

• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.

• Contributes to team effort by accomplishing related results as needed.

• Liaise with other managers to plan future development and strategies for the overall growth of the company.

• Writing clean and efficient codes for iOS applications

• Supporting the entire application lifecycle from concept to design, testing, release and support

• Troubleshooting and bug fixes for applications, to ensure that codes are clean and secure

• Recommending changes and enhancements

• Staying up to date with new mobile technology trends, applications, and protocols

We are seeking a Security Program Manager to effectively drive Privacy & Security Programs in collaboration with cross functional teams. You will partner with engineering leadership, product management and development teams to deliver more secure products.

Roles & Responsibilities:

• Work with multiple stakeholders across various departments such as IT, Engineering, Business, Legal, Finance etc to implement controls defined in policies and processes.
• Manage projects with security and audit requirements with internal and external teams and serve as a liaison among all stakeholders.
• Managing penetration tests and security reviews for core applications and APIs.
• Identify, create and guide on privacy and security requirements considering applicable Data Protection Laws and implement them across software modules developed at Netmeds.
• Brainstorm with engineering teams to figure out how privacy and security controls can be applied to Netmeds tech stack.
• Coordination with Infra Teams and Dev Teams on DB and application hardening, standardization of server images / containerization.
• Assess vendors' security posture before onboarding them and after they qualify, review their security posture at a set frequency.
• Manage auditors and ensure compliance for ISO 27001 and other data privacy audits.
• Answer questions or resolve issues reported by the external security researchers & bug bounty hunters.
• Investigate privacy breaches.
• Educate employees on data privacy & security.
• Prioritize security requirements based on their severity of impact and product roadmap.
• Maintain a balance of security and business values across the organisation.

 Required Skills:

• Web Application Security, Mobile Application Security, Web Application Firewall, DAST, SAST, Cloud Security (AWS), Docker Security, Manual Penetration Testing.
• Good hands-on experience in handling tools such as vulnerability scanners, Burp suite, patch management, web filtering & WAF.

• Familiar with cloud hosting technologies (ex. AWS, Azure). Understanding of IAM, RBAC, NACLs, and KMS.

• Experience in Log Management, Security Event Correlation, SIEM.
• Must have strong interpersonal skills and should be able to communicate complex ideas seamlessly in written and verbal communication.

Good to Have Skills:

• Online Fraud Prevention.
• Bug Bounty experience.
• Security Operations Center (SOC) management.
• Experience with Amazon AWS services (EC2, S3, VPC, RDS, Cloud watch).
• Experience / Knowledge on tools like Fortify and Nessus.
• Experience in handling logging tools on docker container images (ex. Fluentd).