11+ Application Specific Integrated Circuit (ASIC) Jobs in Chennai | Application Specific Integrated Circuit (ASIC) Job openings in Chennai

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 

We are looking for a creative and detail-oriented Content Writer to develop high-quality, engaging, and SEO-optimized content. The ideal candidate should have hands-on experience with Generative AI

tools and the ability to humanize AI-generated content effectively.

Key Responsibilities:

• Create high-quality content for blogs, websites, and digital platforms

• Develop SEO-optimized content aligned with keyword strategies

• Use Generative AI tools to produce and refine content while ensuring a human tone

• Edit and proofread content for clarity, grammar, and consistency

• Manage multiple projects and meet tight deadlines

• Collaborate with marketing and design teams for content planning

• Contribute to social media content creation and campaigns.

Required Skills & Qualifications:

• 1–3 years of experience in content writing

• Strong understanding of SEO principles and best practices

• Experience with Generative AI tools (e.g., ChatGPT or similar platforms)

• Ability to humanize AI-generated content

• Excellent writing, editing, and proofreading skills

• Strong time management and multitasking abilities.

Good to Have:

• Experience in social media content creation and strategy

• Familiarity with content management systems (CMS)

• Basic understanding of analytics tools.

What We Offer:

• Collaborative work environment

• Opportunity to work on diverse content formats

• Exposure to cutting-edge AI tools and content strategies

Requirements:

• A minimum of 3+ years of proven experience with Zoho CRM is a mandatory requirement; you must be an expert in the platform.
• Hands-on experience with coding and development within Zoho CRM (e. g., Deluge scripting, API integration, custom functions, and workflow automation).
• Strong understanding of sales processes and how to optimize them using CRM systems.
• Proficient in analyzing data, generating reports, and using data to drive decisions.
• Familiarity with BigQuery or similar data warehousing platforms for processing and analyzing large datasets is advantageous.
• Ability to work cross-functionally with sales, marketing, and customer success teams, as well as technical staff.
• Strong problem-solving skills with a proactive approach to identifying and fixing CRM-related issues.
• Bachelor's degree in a relevant field (e. g., IT, Computer Science, Business Management).
• Preferred: Experience working in a SaaS environment is a plus.

Interior Designer Job Responsibili􀆟es:

 Develops design concepts and produces contract documents based on client needs.

 Meets with clients to program the project requirements.

 Takes accurate as-built measurements for developing floor plans and eleva􀆟ons.

 Creates design concepts and digital presenta􀆟ons with finish selec􀆟ons, furnishings, and fixtures.

 Presents design concepts and takes detailed notes to address customer requests.

 Creates project budgets and maintains up-to-date documenta􀆟on of all ac􀆟vi􀆟es.

 Manages the coordina􀆟on and logis􀆟cs of product deliveries and installa􀆟on.

 Provides follow-up support with customers.

 Develops and maintains produc􀆟ve and effec􀆟ve rela􀆟onships with customers.

Interior Designer Qualifica􀆟ons / Skills:

 Effec􀆟ve verbal and wri􀆩en communica􀆟on skills

 Problem solving skills, a􀆩en􀆟on to detail, and self-starter

 Programming abili􀆟es to extract informa􀆟on and produce reports

 Knowledge of building and accessible codes

 Familiarity with all phases of projects, poten􀆟al issues, and proven history to produce projects

 Knowledge of industry construc􀆟on costs and material costs

 Basic ability to prepare furniture cost es􀆟mates

 Crea􀆟ve eye for detail in prepara􀆟on of design presenta􀆟on materials

Educa􀆟on, Experience, and Licensing Requirements:

 Bachelor’s degree in design or related field 5-10 YRS EXPERIANCE

 Interior Design CERTIFIICATION

 Experience in INDUSTRIAL BUILDINGS

 Experience with FF&E procurement and specifica􀆟on

 Experience managing a department of 4 or more design staff including budget es􀆟mates and project

schedules

 Proficient in AutoCAD, Photoshop, and Revit