Sales Engineer

About IntraIntel.ai

At IntraIntel.ai, we are building a next-generation, multi-tenant AI platform that enables organizations across industries—healthcare, clinical research, manufacturing, and textiles—to harness the power of intelligent automation and Generative AI. Our platform seamlessly integrates AI agents, RAG pipelines, and LLM-based workflows into a unified, scalable, and secure ecosystem hosted on Google Cloud Platform (GCP).

We are looking for a Full Stack Developer with deep experience in AI-integrated applications, cloud-native architecture, and end-to-end platform development—someone passionate about building intelligent systems that push the boundaries of innovation.

Key Responsibilities

1. Full Stack Development

• Design, build, and maintain full-stack applications with Node.js, Express.js, and modern frontend frameworks such as React.js / Angular.
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• Implement RESTful APIs, GraphQL endpoints, and real-time communication features supporting multi-tenant AI workloads.
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• Optimize backend logic for scalability, modularity, and high availability on GCP.
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• Integrate AI-driven features (RAG, chatbots, data pipelines) into user-facing experiences.

2. AI Integration & Agentic Architecture

• Work alongside AI engineers and architects to integrate LLMs, RAG pipelines, and AI agents (using frameworks like LangChain, CrewAI, or LlamaIndex) into the product stack.
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• Develop APIs and connectors for prompt orchestration, vector storage (FAISS, Chroma, Pinecone), and model inference workflows.
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• Implement context-aware AI features with secure data access boundaries and performance optimization.

3. Cloud Infrastructure & CI/CD

• Deploy, manage, and optimize applications on Google Cloud Platform (GCP) using services such as Cloud Run, GKE, BigQuery, Cloud Storage, IAM, and Pub/Sub.
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• Set up and maintain CI/CD pipelines using GitHub Actions, Cloud Build, or Terraform for automated testing, integration, and deployment.
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• Manage infrastructure as code (IaC), automate containerized builds, and optimize deployment strategies for multi-environment scalability.
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4. UI/UX Collaboration

• Collaborate with product and design teams to transform mockups into seamless user experiences using Figma and front-end frameworks.
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• Contribute to UX optimization, ensuring that AI-driven features are intuitive, responsive, and visually engaging.
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• Work with designers to ensure front-end consistency across multi-tenant environments.
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5. Performance, Security & Monitoring

• Ensure data privacy, scalability, and compliance through role-based access control (RBAC), encryption, and secure API practices.
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• Monitor system performance using Cloud Monitoring / OpenTelemetry, ensuring uptime and reliability.
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• Participate in architectural discussions to enhance system observability and security posture.
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Required Skills & Qualifications

Technical Proficiency

• Backend: Node.js, Express.js, Python (for AI integration), REST/GraphQL APIs
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• Frontend: React.js / Angular / Vue.js, HTML5, CSS3, TypeScript, Next.js
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• Database: PostgreSQL, MongoDB, Firestore, Redis
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• Cloud: Google Cloud Platform (GCP) – Cloud Run, IAM, GKE, BigQuery, Cloud Storage
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• AI Integration: LLM APIs (OpenAI, Gemini, Claude), LangChain, RAG, vector databases (FAISS, Pinecone, Chroma)
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• DevOps: Docker, Kubernetes, Terraform, Cloud Build, GitHub Actions
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• Version Control: Git, Bitbucket
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• UI/UX Collaboration: Figma, Material UI, responsive design principles
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Experience & Attributes

• 5+ years of experience in full-stack development, preferably on AI or SaaS platforms.
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• Strong understanding of multi-tenant architectures and modular design principles.
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• Proven experience in CI/CD pipeline automation and infrastructure management.
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• Experience in integrating AI services, chatbots, or intelligent recommendation systems.
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• Strong problem-solving skills and ability to collaborate in a fast-paced, cross-functional environment.
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• Excellent communication skills and documentation habits.
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Preferred Qualifications

• Prior experience working with AI-driven SaaS or agentic AI platforms.
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• Familiarity with PromptOps / MLOps practices and versioning workflows for LLMs.
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• Experience in data governance and security compliance (HIPAA, GDPR, or SOC2).
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• Cloud certifications (GCP Professional Cloud Developer / Architect) are a plus.
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Why Join IntraIntel.ai

• Work on cutting-edge AI agentic architectures with real-world enterprise impact.
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• Join a fast-growing, innovation-driven team shaping the future of AI platforms.
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• Build products at scale across diverse industries with a unified mission.
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• Collaborative and flexible environment encouraging ownership and creativity.
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Job Title: Coordinator, Customer Care Center – Service

Location: Malad,Mumbai

Status: Active

Salary Range: INR 4,80,000 – 7,50,000 per annum

Experience Required: 1 – 12 years

Job Functions and Responsibilities

• Handle loan-related customer inquiries over the loan servicing toll-free number for pre-foreclosure to delinquent accounts.
• Follow up with customers when payment commitments are not met.
• Log all borrower contacts into the loan servicing system.
• Offer long-term resolutions to customers to resolve delinquency issues.
• Efficiently use an autodialing system to maximize productivity and increase contact ratios.
• Achieve the prescribed number of customer contacts during each workday.
• Understand customer relations functions and available services.
• Perform other duties as assigned by the department manager.

Education / Experience

• Strong customer service skills are essential.
• Fluency in English is required.
• Knowledge or experience in mortgage loan servicing is desirable but not mandatory.
• Graduate degree preferred; undergraduates must have at least 6 months of call center (voice support) experience.

Work Schedule / Requirements

• Must be willing to work in US shifts.
• Shift timings: 5:30 PM / 6:30 PM / 7:30 PM / 8:30 PM IST (may change twice a month).
• Call center hours: Monday – Friday, 8:00 AM – 9:00 PM EST; Saturday, 8:00 AM – 5:00 PM EST.
• Must have a stable internet connection (minimum 50 Mbps) for remote work.
• Candidates must reside in Mumbai (base location) while working from home.
• Currently following a hybrid model — employees will be scheduled to work both from office and home.
• Mandatory work from office during training and initial production phase (minimum 6 months) until performance standards are consistently met.
• Flexibility required for potential role transitions between Customer Service and Customer Resolutions as per business needs.
• Transportation provided for late shifts.

Must-Haves

• Excellent communication skills.
• Minimum 1 year of call center experience (voice support).
• Willingness to work in rotational shifts.
• Flexibility to adapt to business and schedule changes.

Interview Process

1. Screening Call
2. Two Virtual Rounds (Technical / Process-related)

Duties and Responsibilities:

Responsible for overall operation of section.

 Enter kitchen on time, in clean and tidy uniforms, well groomed with head gear, shoes

and clean dusters.

 Switch on gas and ovens in case it is required.

 Check if equipment’s are in working good condition and inform maintenance head for

its breakdown.

 Same to be informed to Head chef and should be written in maintenance order form.

 Check quality of previous day mis-en-place for its spoilage.

 Update preparation list (based on lunch buffet and Ala Carte) as per forecasted

quantity for that day and spoilage. Do not make over excess quantity as that will lead

to wastage and high food cost.

 As per preparation list, get all raw material and cooking utensils arranged, if commis

is there otherwise do it on own.

 In case of any raw material is not available or utensils, check with stores and inform

same to head chef.

 Follow up on the same by writing on the follow up sheet.

 Get material picked up from Dry stores and fresh material from Receiving.

 Directly responsible for receiving quality of raw material (Perishable and Non-

perishable).

 Check discrepancy in quantities. In case material is not proper, return the material and

inform stores to buy fresh from market and debit the amount to the supplier.

 In case it is very urgent, accept few quantities and enter less quantity as received.

 Inform Head Chef for any unavailable items as per ordering list. At the same time

inform captain and above for not available dish with valid reason.

 Fill up requisition sheet before 4 pm and check day store for available (Perishable and

Non-perishable) ingredients before giving final requisition.

 In case Head chef is off, check ordering of other sections.

 Responsible for the operation of your section on your off days.

 Responsible for assigning work to your subordinate for your off days as per his

efficiency.

 Wash all vegetables before starting mis-en-place as per preparation list, keeping

hygiene in mind.

 Prepare mis-en-place as per Preparation List with high ingredient yield and no

wastage.

 Keep work table and ranges clean from time to time during operations, to maintain

basic hygiene standard.

 Use right cooking method for preparations, and guide sub-ordinate as well.

 Guide subordinates to use heavy and light equipment’s.

 Taste items for its quality and right preparations. Make a habit of tasting items.

 Dishing out orders as per right KOT (make sure date, time, qty and signature of order

taker is mentioned correctly) keeping garnish and accompaniments in minds.

 Follow Standard portion size while dishing out orders, guide your sub-ordinates.

 Follow correct plate presentation and guide your sub-ordinates.

 Re- use preparations, leftovers efficiently in order to control wastage.

 Check for the last order and close the kitchen by doing and guiding subordinate to

cover all items and store as per requirement.

 Clean all work area and ranges.

 Check required amount of mis-en-place for the next shift.

 Lock all chillers and freezer to avoid any pilferage.

 Giving proper handover of mis-en-place for ala carte, outdoor, in-house function, live

counter or any special preparations to head chef for the day taking off.

 Supporting Head chef by conducting training on various aspect of kitchen operation

including related cuisine, hygiene, planning etc.

 Make sure that all work with regard to Daily checklist is completed like Food tasting

sheet, N/A Items, Kitchen cleaning images, Pest Control, ODC Update, Daily

Wastage sheet, Buffet Set up, Daily Fridge Stacking images, etc.

 Follow Buddy learning systems to train the assigned kitchen staff and report their

success on a timely basis

Job Requirements:

4-6 years of experience in Continental Cuisine/Mexican/Italian.

 High school diploma or equivalent required.

 Excellent personal hygiene

To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.

Category: Software Development

Type: Internship (Remote)

Location: Remote (India)

Time Zone: GMT+05:30 (Asia/Kolkata)

Experience Range: 2 - 4 years (preferred)

Salary: ₹0L - ₹20L per year (based on skills & experience)

ESOPs Available: Yes

Job Description:

The Standard School of Machine Learning (TheSSML) is seeking a Generative AI Intern to work on cutting-edge AI research, model development, and applications in generative models. This is an exciting opportunity to gain hands-on experience in AI-driven content creation, large language models (LLMs), and deep learning-based image/video generation.

Key Responsibilities:

• Research and develop Generative AI models (GANs, VAEs, LLMs, Stable Diffusion).
• Fine-tune large language models (LLMs) for text generation and automation.
• Work on AI-based image, video, and audio generation using deep learning techniques.
• Optimize AI models for performance, scalability, and real-world applications.
• Collaborate with researchers and engineers to improve AI-based creative tools.
• Experiment with prompt engineering and prompt tuning for LLMs.
• Work with Google Vertex AI, AWS, or Azure AI to deploy models.

Must-Have Skills:

• Python, TensorFlow, PyTorch
• Machine Learning & Deep Learning (GANs, VAEs, Transformers)
• NLP & LLMs (GPT, BERT, Stable Diffusion, DALL·E)
• Data Preprocessing & Model Optimization
• Prompt Engineering & AI Content Creation

Good-to-Have Skills:

• Experience with MLOps and AI model deployment
• Knowledge of computer vision and multimodal AI models
• Familiarity with vector databases & retrieval-augmented generation (RAG)

Why Join Us?

• Work on real-world AI projects in a fast-paced research environment.
• Mentorship from industry experts in AI/ML.
• Opportunity to transition into a full-time role based on performance.

JOB DESCRIPTION OF GRAPHIC DESIGNERS-

Roles and Responsibilities

• Design web pages, brochures, logos, signs, books, magazine covers, annual reports, advertisements, and other communication materials.
• developing concepts, graphics and layouts for product illustrations, company logos, and websites
• determining size and arrangement of illustrative material and copy, and font style and size
• preparing rough drafts of material based on an agreed brief
• reviewing final layouts and suggesting improvements if required
• Planning concepts by studying relevant information and materials. Coordinating with outside agencies, art services, web designers, marketing, printers, and colleagues as necessary.

SKILLS REQUIRED-

• Be a skilled user of design software such as Adobe Illustrator, Photoshop, Coral draw.
• Have an active interest in art/design
• Be creative and adaptable to trends