11+ User Research Jobs in Chennai | User Research Job openings in Chennai

We are looking for a UI/UX Designer to turn our software into easy-to-use products for our clients.

UI/UX Designer responsibilities include gathering user requirements, designing graphic elements and building navigation components. To be successful in this role, you should have experience with design software and wireframe tools. If you also have a portfolio of professional design projects that includes work with web/mobile applications, we’d like to meet you.

Ultimately, you’ll create both functional and appealing features that address our clients’ needs and help us grow our customer base.

• Gather and evaluate user requirements in collaboration with product managers and engineers
• Illustrate design ideas using storyboards, process flows and sitemaps
• Design graphic user interface elements, like menus, tabs and widgets
• Build page navigation buttons and search fields
• Develop UI mockups and prototypes that clearly illustrate how sites function and look like
• Create original graphic designs (e.g. images, sketches and tables)
• Prepare and present rough drafts to internal teams and key stakeholders
• Identify and troubleshoot UX problems (e.g. responsiveness)
• Conduct layout adjustments based on user feedback
• Adhere to style standards on fonts, colors and images
  
  

• Proven work experience as a UI/UX Designer or similar role
• Portfolio of design projects
• Knowledge of wireframe tools (e.g. Wireframe.cc and InVision)
• Up-to-date knowledge of design software like Adobe Illustrator and Photoshop
• Team spirit; strong communication skills to collaborate with various stakeholders
• Good time-management skills
• BSc in Design, Computer Science or relevant field

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 

At BigThinkCode, our technology solves complex problems. We are looking for talented back-end (node.JS) engineer to join our at Chennai.

Please find below our job description, if interested apply / reply sharing your profile to connect and discuss.

Company: BigThinkCode Technologies

URL: https://www.bigthinkcode.com/

Experience required: 1-2 years

Work location: Chennai

Joining time: Immediate – 4 weeks

Work Mode: Work from office / Hybrid

A skilled Node.js Developer with 1-2 years of experience in building scalable applications using event-driven architecture (EDA) within distributed systems. The ideal candidate should be comfortable in high-performance backend services and have a strong understanding of asynchronous programming patterns.

Experience or exposure to knowledge embedding and vectorization techniques is a strong plus, especially in the context of modern data-driven or AI-powered systems.

Required Skills & Qualifications

• 1-2 years of hands-on experience with Node.js
• Strong understanding of event-driven architecture and non-blocking I/O
• Experience working with distributed systems and microservices architecture
• Proficiency in RESTful API design and implementation.
• Experience with databases such as MongoDB, PostgreSQL, or MySQL.
• Experience with containerization tools like Docker and orchestration tools like Kubernetes

Key Responsibilities

• Design, develop, and maintain server-side applications using Node.js
• Build and optimize scalable, event-driven systems in distributed environments
• Implement asynchronous workflows, message queues, and pub/sub architectures

Good to Have 

• Experience with knowledge embedding and vectorization techniques.
• Familiarity with vector databases (e.g., Pinecone).
• Understanding of cloud platforms (AWS, Azure, or GCP).

Why Join Us:

• Collaborative work environment.
• Exposure to modern tools and scalable application architectures.
• Medical cover for employee and eligible dependents.
• Comprehensive leave policy.
• Competency development training programs.

Technical Architect (Databricks)

• 10+ Years Data Engineering Experience with expertise in Databricks
• 3+ years of consulting experience
• Completed Data Engineering Professional certification & required classes
• Minimum 2-3 projects delivered with hands-on experience in Databricks
• Completed Apache Spark Programming with Databricks, Data Engineering with Databricks, Optimizing Apache Spark™ on Databricks
• Experience in Spark and/or Hadoop, Flink, Presto, other popular big data engines
• Familiarity with Databricks multi-hop pipeline architecture

Sr. Data Engineer (Databricks)

• 5+ Years Data Engineering Experience with expertise in Databricks
• Completed Data Engineering Associate certification & required classes
• Minimum 1 project delivered with hands-on experience in development on Databricks
• Completed Apache Spark Programming with Databricks, Data Engineering with Databricks, Optimizing Apache Spark™ on Databricks
• SQL delivery experience, and familiarity with Bigquery, Synapse or Redshift
• Proficient in Python, knowledge of additional databricks programming languages (Scala)

Sales – Real Estate

Location: Chennai

Job Type: Full-time

About Home Konnect:

Home Konnect®️ is a boutique CRISIL Rated & RERA Certified Real estate advisory with a refreshingly honest approach. At Home Konnect®️, we provide end-to-end property solutions for home buyers, owners, lessees and lessors. Our expert team of Real Estate advisors is known for forging & nurturing long standing relationships built on trust, transparency, ethics, professionalism & our industry expertise. We have helped more than 1000+ happy customers connect to their dream homes selling 10 Lakh + sq.ft. of residential space. Our team has some of the best professionals in the Real estate industry who specialize in finding the right property for our clients thereby creating long standing value for them.

Job Summary:

We are looking for a dynamic and results-driven Sales Executive to join our team. The ideal candidate will be responsible for driving sales, and assisting clients in purchasing residential and commercial properties. If you have a passion for sales and real estate, this is the perfect opportunity to grow your career.

Salary: As per company standards

Key Responsibilities:

● Engage with potential homebuyers, understand their requirements, and provide tailored property solutions

● Conduct property site visits and explain project details to clients

● Maintain strong relationships with clients and guide them through the buying process

● Negotiate deals, close sales, and achieve monthly/quarterly targets

● Coordinate with builders/developers to stay updated on project offerings, pricing, and availability

● Maintain accurate records of customer interactions, sales, and follow-ups

● Stay updated on market trends, competitor analysis, and new real estate developments

Requirements:

● Education: Bachelor's degree

● Experience: 1-3 years of experience in real estate sales, banking, or any sales-driven industry

● Strong communication and negotiation skills

● Ability to build and maintain client relationships

● Willingness to travel within the city or the assigned location for site visits and client meetings

● Self-motivated, target-oriented, and passionate about sales

Benefits:

● Competitive salary with attractive incentives

● Opportunity to work with top real estate brands

● Career growth and professional development

● Supportive and dynamic work environment

Job Title: Java Full Stack Developer

Work Location: Bangalore, Chennai, Mysore

Experience: 5+ Years

Budget: up to 18 Lakhs

Notice Period: Immediate to 30 days

Mandatory Skills: Java, Java Script, HTML, CSS

Job Description:

A Bachelor's degree in computer science, statistics, or Engineering.

· At least 5 years of strong knowledge and experience in developing web applications using J2EE, Multi thread programming, Data structure, Junit and Mockito

· Strong knowledge in Spring Boot, Microservices, LOG4j, Spring security

· Strong Experience in Angular JS responsive frameworks. ReactJS.

· Strong knowledges in JavaScript, TypeScript, jQuery, HTML5, CSS.

· Experience working with tools like Git, Maven, Gradle.

· Demonstrate strong design and programming skills using JSON, Web Services, XML in Unix and Windows environments.

· Experience with Build Automation, Continuous Integration and Test Automation (npm, Gradle, Maven, Jenkins).

· Thorough understanding of Integrated Development Environments like Visual Studio Code, Eclipse and IntelliJ.

· Good understanding of Databases, Frameworks, Design, Algorithms, etc.

· Working knowledge with Oracle, Mongo DB databases.

· Strong agile/scrum development experience

· Experience in Cloud platforms including deploying applications in a containerized platform is preferred.

· Experience in full lifecycle with requirements to development to support.

· Excellent verbal communication skills.

· Good problem-solving skills.

Skills:

• Expertise in Python 3 on AWS serverless
• Experience in AWS serverless stack Appsync, Lambda, Cognito, API Gateway, DynamoDB, Elasticsearch, SQS, S3, Code commit & Code Deploy.
• Proficient in modern microservice-based architectures and methodologies.
• Experience in a database technology, preferably No-SQL such as AWS DynamoDB.
• Build human-centric UX with us using technologies like React, TypeScript, GraphQL, and CSS-in-JS.
• Experience building data processing pipelines (SQS, Kinesis, DynamoDB, AWS Lambda, or similar)
• Deep technical hands-on experience developing in REST/JSON or SOAP/XML, combined with strong knowledge of concepts such as CORs (Cross Origins Resources), headers, security, JSON and http concept.
• Experience with Github and advanced Github features (good to have).
• Must have worked as a part of Agile Teams and DevOps practices such as continuous Integration tools (e.g. Jenkins), code repository, creating CI/CD pipelines is required.