AIML Engineer-Azure AI

Job Title : AIML Engineer-Azure AI

Experience: 4-6 yrs.

Location : Chennai, Hyderabad, Bangalore

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?

As a AIML Engineer, you will be responsible for designing, developing, and deploying enterprise-grade AI and Generative AI solutions leveraging Microsoft Azure, Large Language Models (LLMs), LangChain, LangGraph, Python, and ReactJS. You will work closely with cross-functional teams to build scalable AI applications that solve complex business problems and deliver measurable value for our clients.

• AI Use Case Development: Design, develop, and deploy innovative AI and Generative AI use cases using LLMs and modern AI frameworks such as LangChain and LangGraph to address complex business challenges.
• LLM & Agentic AI Development: Build LLM-powered applications, AI agents, conversational solutions, and intelligent workflows using LangChain, LangGraph, and related frameworks.
• Azure AI Architecture: Design and implement scalable, secure, and production-ready AI application architectures on Microsoft Azure, leveraging Azure AI services and cloud-native capabilities.
• Azure AI Integration & Deployment: Configure, integrate, and deploy Azure AI services and toolsets, including Azure OpenAI and other relevant Azure services, into enterprise applications.
• Full-Stack AI Application Development: Develop robust backend services and APIs using Python and build intuitive, responsive user interfaces using ReactJS, enabling end-to-end AI application development.
• AI Application Engineering: Integrate LLMs, APIs, vector databases, enterprise data sources, and AI services to develop scalable and reliable AI-powered applications.
• Solution Optimization: Continuously evaluate and optimize AI applications for performance, scalability, cost, security, reliability, and user experience.
• Cross-Functional Collaboration: Work closely with Consulting, Data Science, Engineering, and other teams to translate business requirements into scalable AI solutions and accelerate AI adoption across client organizations.
• Client Engagement: Collaborate with clients and stakeholders to understand business requirements, demonstrate AI capabilities, and recommend appropriate Azure and Generative AI solutions.

What do we expect?

• Azure AI Expertise: Strong hands-on experience in designing, configuring, and deploying AI/GenAI solutions on Microsoft Azure, with a good understanding of Azure AI services and cloud architecture.
• Generative AI & LLM Expertise: Proven experience building LLM-powered applications, with hands-on knowledge of LangChain, LangGraph, prompt engineering, RAG, AI agents, and LLM integration.
• Python Development: Strong proficiency in Python with experience developing backend services, APIs, AI orchestration, integrations, and production-grade applications.
• ReactJS Development: Hands-on experience with ReactJS and the ability to build user-friendly front-end interfaces for AI-powered applications.
• Full-Stack AI Development: Experience developing and integrating Python-based AI backends with ReactJS front-end applications, delivering end-to-end AI solutions.
• AI Application Architecture: Strong understanding of scalable AI application architectures, API integrations, cloud deployment, security, monitoring, and productionization.
• Problem-Solving Mindset: Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical and scalable AI solutions.
• Communication Skills: Excellent communication and stakeholder management skills, with the ability to explain complex AI and cloud concepts to technical and non-technical audiences.
• Cloud & DevOps Practices: Familiarity with Docker, CI/CD, Git, Azure DevOps, and cloud-native deployment practices is preferred.
• Azure Certification: Microsoft Azure AI or relevant cloud certifications such as Azure AI Engineer Associate (AI-102) will be an added advantage.

You are important to us, let’s stay connected!

Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Mandatory Skills

Azure Ai,Azure Ai Services,Python,generative ai,Generative Artificial Intelligence

Role

As a AIML Engineer, you will be responsible for designing, developing, and deploying enterprise-grade AI and Generative AI solutions leveraging Microsoft Azure, Large Language Models (LLMs), LangChain, LangGraph, Python, and ReactJS. You will work closely with cross-functional teams to build scalable AI applications that solve complex business problems and deliver measurable value for our clients.

• AI Use Case Development: Design, develop, and deploy innovative AI and Generative AI use cases using LLMs and modern AI frameworks such as LangChain and LangGraph to address complex business challenges.
• LLM & Agentic AI Development: Build LLM-powered applications, AI agents, conversational solutions, and intelligent workflows using LangChain, LangGraph, and related frameworks.
• Azure AI Architecture: Design and implement scalable, secure, and production-ready AI application architectures on Microsoft Azure, leveraging Azure AI services and cloud-native capabilities.
• Azure AI Integration & Deployment: Configure, integrate, and deploy Azure AI services and toolsets, including Azure OpenAI and other relevant Azure services, into enterprise applications.
• Full-Stack AI Application Development: Develop robust backend services and APIs using Python and build intuitive, responsive user interfaces using ReactJS, enabling end-to-end AI application development.
• AI Application Engineering: Integrate LLMs, APIs, vector databases, enterprise data sources, and AI services to develop scalable and reliable AI-powered applications.
• Solution Optimization: Continuously evaluate and optimize AI applications for performance, scalability, cost, security, reliability, and user experience.
• Cross-Functional Collaboration: Work closely with Consulting, Data Science, Engineering, and other teams to translate business requirements into scalable AI solutions and accelerate AI adoption across client organizations.
• Client Engagement: Collaborate with clients and stakeholders to understand business requirements, demonstrate AI capabilities, and recommend appropriate Azure and Generative AI solutions.

Education Qualification

B.E/B.Tech

Experience

4 to 6 years