AIML Engineer-(AI FullStack Developer)

Job Title : AIML Engineer-(AI FullStack Developer)

Location : Chennai, Bangalore, Hyderabad

Who we are

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine

Curious about the role? What your typical day would look like?

We are seeking a highly skilled AI Full Stack Developer with 5–6 years of experience in Artificial Intelligence and full-stack application development. The ideal candidate should have hands-on experience in delivering production-grade AI solutions, with proven involvement in at least two end-to-end AI projects deployed in production environments.

The candidate should possess strong expertise in AI application development, cloud infrastructure, deployment, and AgentOps practices to build scalable, reliable, and enterprise-ready AI solutions.

Technical Skills & Responsibilities

• Design, develop, and deploy end-to-end AI-powered applications using modern AI frameworks and full-stack technologies.
• Build and deliver production-grade AI solutions with a focus on scalability, reliability, and performance.
• Develop, deploy, and manage AI agents and agent-based workflows in enterprise environments.
• Collaborate with cross-functional teams to integrate AI capabilities into business applications.
• Optimize AI models and applications for production deployment and operational efficiency.
• Implement cloud-native AI solutions on Microsoft Azure.
• Manage application deployment using containerization and orchestration technologies such as Docker and Kubernetes.
• Establish and maintain AgentOps and MLOps best practices for model lifecycle management, monitoring, and continuous improvement.
• Ensure high availability, observability, and performance of AI applications in production.

Required Skills:

• 4-6 years of relevant AI development experience.
• Experience building end-to-end AI applications using modern AI frameworks and APIs.
• Strong understanding of backend and frontend development for AI-powered applications.
• Experience developing and integrating AI agents and intelligent workflows.
• Hands-on experience managing production AI environments.
• Strong understanding of AgentOps practices, including: Model versioning
  Continuous monitoring
  Production deployment lifecycle management
  Performance monitoring and optimization
  Incident management and operational support
• Experience designing and scaling AI applications on Microsoft Azure.
• Knowledge of cloud-native architectures and scalable infrastructure design.
• Practical experience with:Docker
  Kubernetes
• Experience building and managing CI/CD pipelines for AI applications.
• Knowledge of containerized deployments and orchestration for enterprise environments.

Preferred Skills

• Experience with enterprise AI platforms and Large Language Model (LLM) applications.
• Exposure to Retrieval-Augmented Generation (RAG), AI agents, and multi-agent architectures.
• Understanding of AI governance, security, and responsible AI practices.
• Excellent analytical, problem-solving, and communication skills.

Mandatory Skills

generative ai,Machine Learning Operations,AgentOps,React.js,Reacts Js

Role

Technical Skills & Responsibilities

• Design, develop, and deploy end-to-end AI-powered applications using modern AI frameworks and full-stack technologies.
• Build and deliver production-grade AI solutions with a focus on scalability, reliability, and performance.
• Develop, deploy, and manage AI agents and agent-based workflows in enterprise environments.
• Collaborate with cross-functional teams to integrate AI capabilities into business applications.
• Optimize AI models and applications for production deployment and operational efficiency.
• Implement cloud-native AI solutions on Microsoft Azure.
• Manage application deployment using containerization and orchestration technologies such as Docker and Kubernetes.
• Establish and maintain AgentOps and MLOps best practices for model lifecycle management, monitoring, and continuous improvement.
• Ensure high availability, observability, and performance of AI applications in production.

Education Qualification

B.E/B.Tech

Experience

5 to 8 years