11+ Houdini Jobs in Bangalore (Bengaluru) | Houdini Job openings in Bangalore (Bengaluru)

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

Position Title: Account Executive - (SaaS – US Market)

Experience Level: 3–8 Years

Industry: B2B SaaS

Sales Segment: Small & Medium Businesses (SMB)

Market: United States

Employment Type: Full-time

Location: Bangalore, work from the office

US Market experience mandatory

Shift timing: 6 PM to 3 AM

In-house desk job

Excellent communication skills

Individual Contributor role

B2B SaaS company experience mandatory

Any graduate

Interview process: 3 rounds (2 Video Calls + Final Face-to-Face)

5 days of working from the office

Key Responsibilities

Own the end-to-end SMB sales cycle (prospecting to close) for U.S.-based customers

Handle inbound and outbound leads, including cold outreach

Conduct product demos, discovery calls, and negotiations

Build and manage a healthy sales pipeline and accurate forecasts

Consistently achieve or exceed monthly and quarterly quotas

Maintain accurate CRM records and sales activity tracking

Required Qualifications

3–8 years of experience as an Account Executive in B2B SaaS

Strong experience selling to SMB customers (not enterprise-only profiles)

Direct exposure to selling in the U.S. market

Proven track record of quota achievement

Excellent communication, negotiation, and closing skills

Hands-on experience with CRM tools such as HubSpot

Strong understanding of U.S. buyer behavior and SMB needs

Preferred Qualifications

Experience in fast-paced SaaS startups or growth-stage companies

Familiarity with high-volume deal environments ($5k–$100k ARR)

Strong consultative selling approach

Strong understanding of U.S. buyer behavior and SMB needs

About Us:

We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy and committed communication company that wants its clients to always Expect the EXTRA from it. Our primary clientele consists of Startups & Corporates like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, Collive, MTV, Toit, IHCL, Jaquar, Sobha, Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, coders and a puppy momo, who believe Moshi Moshi is an experience rather than a company.

Why Moshi Moshi?

The learning curve at Moshi Moshi is very high when compared to the industry average and that's primarily because you get to work with Companies / Brand managers / Marketers of different sizes and thought processes who push you to think better and faster. So, Hop on to the ride we dearly call Moshi Moshi and let's Say hello to the world.

PS:- We are also very close to a lot of food joints and breweries, so in case your manager/boss gives you a lot of work or is Expecting the Extra, you can quickly grab a recharge and continue with your everyday life struggles. We can't do much about the manager!

Job Description:

As a Business Coordinator Intern, your role encompasses various crucial tasks aimed at ensuring smooth communication, effcient lead management, and streamlined operations within the organization. Here's a refined draft of your responsibilities:

1. Client Communication Management:

- Act as the primary point of contact for incoming client inquiries, promptly addressing their queries and clarifying requirements.

- Utilize effective communication skills to articulate the company's offerings and provide relevant information to potential customers.

2. Lead Allocation:

- Screen the incoming leads and allocate the relevant ones to team members.

3. CRM Utilization and Notification Management:

- Maintain and update the Customer Relationship Management (CRM) platform to ensure accurate recording of client interactions and requirements.

- Manage notification systems to promptly address client inquiries and relay relevant information to

the team for further action.

4. Collaboration with Finance Team:

- Establish regular communication channels with the finance team to coordinate invoice generation and payment processing for clients.

- Ensure timely follow-up on payment statuses and address any financial inquiries from clients.

5. Proposal Management and Client Engagement:

- Assist in the creation and distribution of proposals to potential clients, ensuring alignment with their needs and expectations.

- Maintain ongoing communication with clients to provide updates, address concerns, and facilitate any necessary adjustments to proposals or services.

By effectively managing client communications, streamlining lead management processes, leveraging CRM systems, collaborating with the finance team, and maintaining proactive client engagement, you play a vital role in driving business growth and fostering positive client relationships as a Business Coordinator Intern

Role Summary:

We are seeking a proactive and persuasive Telecaller to join our fast paced real estate team. The candidate will be responsible for contacting potential buyers, understanding their property requirements, providing relevant information, and scheduling site visits. The goal is to convert

leads into prospects and contribute to the company’s sales pipeline.

Key Responsibilities:

• Make outbound calls to potential clients based on leads provided.

• Understand customer requirements and provide relevant property information.

• Systematic follow-up with interested leads and timely updates on new offers.

• Schedule and coordinate site visits with sales teams and clients.

• Maintain accurate records of all conversations and lead progress using CRM tools.

• Achieve daily/weekly/monthly targets for calls and conversions.

• Handle customer inquiries professionally and escalate issues when needed.

Whatsapp blast and email marketing to be carried out.

⸻

Job Specification (JS):

Education qualifications:

• Minimum preferred: Bachelor’s degree in any field.

Experience:

• 2-3+ years of experience in telecalling, telesales, or customer support.

• Experience in real estate or similar industry is an added advantage.

Skills & Competencies:

• Excellent verbal communication skills in English and local & regional specific languages (Hindi, Kannada & Tamil).

• Good convincing and negotiation skills.

• Confident, energetic, and customer-focused.

• Ability to handle rejection and remain calm under pressure.

• Basic computer knowledge and experience with MS Office.

Other Requirements:

• Willing to work in a target-driven environment.

• Must be comfortable with working on weekends and fixed weekday offs (as per company’s norms).

Key Responsibilities

• Frontend Development: Designing and building responsive, interactive user interfaces using React.js, HTML5, CSS3, and modern JavaScript (ES6+).
• Backend Development: Developing robust, scalable server-side applications and microservices using Java and the Spring Boot framework.
• API Integration: Creating and consuming RESTful APIs to ensure seamless communication between the React frontend and the Java backend.
• Database Management: Designing and optimizing database schemas and queries using SQL (e.g., MySQL, PostgreSQL, Oracle) or NoSQL (e.g., MongoDB) databases.
• State Management: Managing application state in React using tools like Redux, Hooks, or Context API.
• Testing & Quality Assurance: Writing unit and integration tests using frameworks such as JUnit for backend and Jest or React Testing Library for frontend.
• DevOps & Deployment: Collaborating on CI/CD pipelines and using containerization tools like Docker and Kubernetes for application deployment. 
• Indeed
•  +14

Required Skills & Qualifications

• Core Technical Skills:
• Deep proficiency in Java (8+) and the Spring ecosystem (Spring Boot, Spring Security, Spring Data JPA).
• Expertise in React.js workflows, component-based architecture, and hooks.
• Strong understanding of Microservices architecture and cloud platforms (AWS, Azure, or GCP).
• Experience & Education:
• Typically requires a Bachelor's degree in Computer Science or a related field.
• Proven experience (often 1–5+ years depending on seniority) in full-stack development.
• Tools: Version control systems like Git, build tools like Maven or Gradle, and Agile project management tools like Jira. 
• Indeed
•  +13

Typical Salary Ranges (India)

• Freshers: ₹3.8 Lakh to ₹12 Lakh per year.
• Experienced (5+ years): ₹18 Lakh to ₹30 Lakh+ per year.
• Average (General): Approximately ₹29 Lakh per year for high-demand specialized roles. 

Job Overview:

As a Technical Lead, you will be responsible for leading the design, development, and deployment of AI-powered Edtech solutions. You will mentor a team of engineers, collaborate with data scientists, and work closely with product managers to build scalable and efficient AI systems. The ideal candidate should have 8-10 years of experience in software development, machine learning, AI use case development and product creation along  with strong expertise in cloud-based architectures.

Key Responsibilities:

AI Tutor & Simulation Intelligence

• Architect the AI intelligence layer that drives contextual tutoring, retrieval-based reasoning, and fact-grounded explanations.
• Build RAG (retrieval-augmented generation) pipelines and integrate verified academic datasets from textbooks and internal course notes.
• Connect the AI Tutor with the Simulation Lab, enabling dynamic feedback — the system should read experiment results, interpret them, and explain why outcomes occur.
• Ensure AI responses remain transparent, syllabus-aligned, and pedagogically accurate.

Platform & System Architecture

• Lead the development of a modular, full-stack platform unifying courses, explainers, AI chat, and simulation windows in a single environment.
• Design microservice architectures with API bridges across content systems, AI inference, user data, and analytics.
• Drive performance, scalability, and platform stability — every millisecond and every click should feel seamless.

Reliability, Security & Analytics

• Establish system observability and monitoring pipelines (usage, engagement, AI accuracy).
• Build frameworks for ethical AI, ensuring transparency, privacy, and student safety.
• Set up real-time learning analytics to measure comprehension and identify concept gaps.

Leadership & Collaboration

• Mentor and elevate engineers across backend, ML, and front-end teams.
• Collaborate with the academic and product teams to translate physics pedagogy into engineering precision.
• Evaluate and integrate emerging tools — multi-modal AI, agent frameworks, explainable AI — into the product roadmap.

Qualifications & Skills:

• 8–10 years of experience in software engineering, ML systems, or scalable AI product builds.
• Proven success leading cross-functional AI/ML and full-stack teams through 0→1 and scale-up phases.
• Expertise in cloud architecture (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
• Experience designing microservices and API ecosystems for high-concurrency platforms.
• Strong knowledge of LLM fine-tuning, RAG pipelines, and vector databases (Pinecone, Weaviate, etc.).
• Demonstrated ability to work with educational data, content pipelines, and real-time systems.

Bonus Skills (Nice to Have):

• Experience with multi-modal AI models (text, image, audio, video).
• Knowledge of AI safety, ethical AI, and explain ability techniques.
• Prior work in AI-powered automation tools or AI-driven SaaS products.

Position: AWS Data Engineer

Experience: 5 to 7 Years

Location: Bengaluru, Pune, Chennai, Mumbai, Gurugram

Work Mode: Hybrid (3 days work from office per week)

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and motivated AWS Data Engineer with 5–7 years of experience in building and optimizing data pipelines, architectures, and data sets. The ideal candidate will have strong experience with AWS services including Glue, Athena, Redshift, Lambda, DMS, RDS, and CloudFormation. You will be responsible for managing the full data lifecycle from ingestion to transformation and storage, ensuring efficiency and performance.

Key Responsibilities:

• Design, develop, and optimize scalable ETL pipelines using AWS Glue, Python/PySpark, and SQL.
• Work extensively with AWS services such as Glue, Athena, Lambda, DMS, RDS, Redshift, CloudFormation, and other serverless technologies.
• Implement and manage data lake and warehouse solutions using AWS Redshift and S3.
• Optimize data models and storage for cost-efficiency and performance.
• Write advanced SQL queries to support complex data analysis and reporting requirements.
• Collaborate with stakeholders to understand data requirements and translate them into scalable solutions.
• Ensure high data quality and integrity across platforms and processes.
• Implement CI/CD pipelines and best practices for infrastructure as code using CloudFormation or similar tools.

Required Skills & Experience:

• Strong hands-on experience with Python or PySpark for data processing.
• Deep knowledge of AWS Glue, Athena, Lambda, Redshift, RDS, DMS, and CloudFormation.
• Proficiency in writing complex SQL queries and optimizing them for performance.
• Familiarity with serverless architectures and AWS best practices.
• Experience in designing and maintaining robust data architectures and data lakes.
• Ability to troubleshoot and resolve data pipeline issues efficiently.
• Strong communication and stakeholder management skills.

Job Description

• Experience in UI development using React JS
• In depth knowledge of JavaScript, CSS, HTML and front-end languages
• Excellent front-end coding skills, and a good understanding of progressive applications
• Strong knowledge of UI design principles, patterns, and best practices
• Experience working with JavaScript and Typescript, React, Redux, RxJS, Yarn
• Experience in test driven development using modern source control and continuous integration
• Design, develop, test, deploy and maintain software
• Delivering high quality and well-structured code