Chembarambakkam Tank Tamil Nadu Senior software engineer Jobs – 778 Open Jobs Today

Senior AI Engineer
Kerner Norland —Gopalapuram, Chennai, Tamil Nadu
- ₹8,00,000 - ₹20,00,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
- Commuter assistance
- Health insurance
Quick apply
7d
Engineering Manager
Valor PayTech —Chennai, Tamil Nadu
- Full-time
- Azure
- Management
- Computer Science
Software Engineer
BioSystems Diagnostics Private Limited —Irungattukottai, Tamil Nadu
- ₹50,000 - ₹1,50,000 a month
- Full-time
- AWS
- C++
- Bachelor's degree
Quick apply
12d
Senior Engineers - Node JS
Cardinality.ai —Chennai, Tamil Nadu
- APIs
- Flexible schedule
Senior Software Engineer
Capgemini Sogeti —Chennai, Tamil Nadu
- Bachelor's degree
- JavaScript
- Communication skills
Senior Software Engineer
Viasat —Chennai, Tamil Nadu
- Online application
- Computer science
- Computer Science
- DevOps
Sr. Software Engineer B2
Cognizant —Chennai, Tamil Nadu
- Full-time
- Hybrid work
- JavaScript
- APIs
- Agile
Lead Software Engineer - Full Stack
ValGenesis —Chennai, Tamil Nadu
- Full-time
- Azure
- Databases
- SQL
Quick apply
Senior Software Engineer - Backend
Amura Health —Velachery, Chennai, Tamil Nadu
- ₹10,00,000 - ₹40,00,000 a year
- Full-time
- Hybrid work
- Computer Science
- Databases
- SQL
- Health insurance
- Life insurance
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Senior Software Engineer - Remote
Med-Metrix —Chennai, Tamil Nadu
- Full-time
- Remote
- Azure
- Customer service
- Microsoft Office
Senior Software Engineer
CareVance Global LLP —Chennai, Tamil Nadu
- ₹14,40,000 - ₹16,80,000 a year
- Full-time
- Software troubleshooting
- Scripting
- Computer networking
- Health insurance
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14d
Software Engineer
Corpay —Chennai, Tamil Nadu
- Full-time
- Computer Science
- Databases
- AWS
- Health insurance
- Paid time off
Senior Full Stack Developer
Beetloop Global Solutions Private Limited —Tharamani, Chennai, Tamil Nadu
- ₹40,000 - ₹50,000 a month
- Full-time
- Azure
- Computer Science
- Software troubleshooting
Quick apply
11d
Senior Software Engineer - Hybrid (Chennai)
Tensure Consulting —Guindy, Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Software troubleshooting
- Health insurance
- Paid time off
Senior Engineer
Altimetrik Corp —Chennai, Tamil Nadu
- Computer Science
- Master's degree
- Bachelor's degree
Senior Software Engineer
U.S. Bank National Association —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Software troubleshooting
Senior Associate | Fullstack Java | Chennai | Engineering as a Service/ Operate
Deloitte —Chennai, Tamil Nadu
- Hybrid work
- Computer Science
- B.Sc
- Java
Architect II - Software Testing
UST —Chennai, Tamil Nadu
- Azure
- Computer Science
- Java
Quick apply
Senior Lead or Engineer Manager
Monotaro Technologies India Private Limited —Chennai, Tamil Nadu
- Computer Science
- System design
- Java
Quick apply
Platform Software Engineer
Ford Motor Company —Chennai, Tamil Nadu
- System design
- Java
- Master's degree
1d

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Senior AI Engineer

Kerner Norland
Gopalapuram, Chennai, Tamil Nadu

Quick apply

Job details

Permanent | Full-time
₹8,00,000 - ₹20,00,000 a year
7 days ago

Benefits

Provident Fund
Commuter assistance
Health insurance
Paid time off
Flexible schedule
Paid sick time

Qualifications

BCS
TensorFlow
CI/CD
Performance tuning
Azure
Law
Computer Science
Software Engineering
Kubernetes
PyTorch
Software deployment
Encryption
NoSQL
Git
Google Cloud Platform
Enterprise architecture
Master's degree
Databases
Microservices
SQL
OS Kernels
AWS
Docker
Bachelor's degree
Machine learning
Distributed systems
Continuous integration
Natural language processing
APIs
Scalability
Agile
Data science
Solution architecture
AI
Communication skills
Python
Data Science
Design patterns

Full job description

Job Profile: Senior AI Engineer

Role Summary

The Senior AI Engineer is responsible for designing, developing, deploying, and continuously improving AI-powered solutions that solve real business problems. This role combines hands-on engineering expertise with strong architecture knowledge, including cloud-native design, AI system architecture, data pipelines, model deployment, observability, security, and scalability. The ideal candidate can take AI initiatives from concept to production while guiding technical decisions and mentoring engineering teams.

Key Responsibilities

· Design, build, and deploy production-ready AI, machine learning, and Generative AI solutions.

· Architect end-to-end AI systems, including data ingestion, model selection, inference services, integration layers, monitoring, and feedback loops.

· Develop LLM-based applications using prompt engineering, Retrieval-Augmented Generation, vector databases, function calling, agentic workflows, and evaluation frameworks.

· Implement MLOps and LLMOps practices such as CI/CD pipelines, model versioning, model registry, automated testing, deployment automation, monitoring, and drift detection.

· Collaborate with product managers, software engineers, data engineers, solution architects, security teams, and business stakeholders to translate requirements into scalable AI solutions.

· Evaluate third-party AI services, open-source models, cloud AI platforms, and internal build-versus-buy options.

· Ensure AI solutions follow responsible AI principles, including privacy, security, fairness, explainability, auditability, and compliance.

· Optimize AI solutions for performance, cost, latency, reliability, and maintainability.

· Mentor junior and mid-level engineers and promote engineering best practices across the AI development lifecycle.

· Create and maintain technical documentation, solution designs, architecture diagrams, model cards, runbooks, and operational guidelines.

· Apply RAG principles across solution design, including grounding, retrieval quality, source traceability, context relevance, evaluation, and continuous improvement.

· Strong understanding of solution architecture principles, including scalability, availability, reliability, security, maintainability, and integration patterns.

· Ability to design AI reference architectures for cloud, hybrid, and enterprise environments.

· Experience with microservices, APIs, event-driven architecture, containerization, Kubernetes, serverless services, and distributed systems.

· Knowledge of data architecture, including data lakes, data warehouses, streaming pipelines, feature stores, metadata management, and data governance.

· Ability to design secure AI systems with role-based access control, secrets management, encryption, audit logs, and secure data handling.

· Understanding of enterprise architecture alignment, architecture review processes, non-functional requirements, and technical risk management.

· Ability to communicate architecture decisions clearly through diagrams, technical design documents, and stakeholder presentations.

Required Technical Skills

· Strong programming skills in Python and experience building production-grade services.

· Hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, or equivalent tools.

· Experience with LLM platforms and tooling such as Azure OpenAI, OpenAI APIs, Hugging Face, LangChain, LangGraph, Semantic Kernel, or similar frameworks.

· Experience designing RAG solutions using embeddings, chunking strategies, retrieval logic, reranking, grounding, and vector databases.

· Strong knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud, including AI/ML services and deployment services.

· Experience with Docker, Kubernetes, CI/CD, Git, automated testing, infrastructure as code, and monitoring tools.

· Knowledge of databases including SQL, NoSQL, search indexes, and vector databases.

· Ability to evaluate AI model quality using metrics, benchmark datasets, regression tests, human review workflows, and safety checks.

· Understanding of software engineering fundamentals including clean code, design patterns, API design, logging, observability, and performance tuning.

· Strong understanding of solution architecture principles, including scalability, availability, reliability, security, maintainability, and integration patterns.

· Ability to design AI reference architectures for cloud, hybrid, and enterprise environments.

· Experience with microservices, APIs, event-driven architecture, containerization, Kubernetes, serverless services, and distributed systems.

· Knowledge of data architecture, including data lakes, data warehouses, streaming pipelines, feature stores, metadata management, and data governance.

· Ability to design secure AI systems with role-based access control, secrets management, encryption, audit logs, and secure data handling.

· Understanding of enterprise architecture alignment, architecture review processes, non-functional requirements, and technical risk management.

· Ability to communicate architecture decisions clearly through diagrams, technical design documents, and stakeholder presentations.

Qualifications and Experience

· Bachelor’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field; Master’s degree preferred.

· 5+ years of professional software engineering or AI/ML engineering experience.

· 3+ years of hands-on experience delivering AI, ML, NLP, GenAI, or data-driven applications into production.

· Proven experience designing AI systems or contributing to solution architecture for enterprise-grade platforms.

· Experience working with cross-functional teams in agile delivery environments.

· Strong communication skills with the ability to explain complex AI and architecture concepts to both technical and non-technical stakeholders.

Pay: ₹800,000.00 - ₹2,000,000.00 per year

Benefits:

Commuter assistance
Flexible schedule
Health insurance
Paid sick time
Paid time off
Provident Fund

Application Question(s):

What is your current salary?
What is your expected salary?
What is your notice period?

Work Location: In person

Quick apply

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senior software engineer jobs in chembarambakkam tank tamil nadu

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