AIML Engineer-(AI FullStack)
Tiger AnalyticsIndia3 days ago
Full-timeRemote FriendlyEngineering, Information Technology
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Job Title : AIML Engineer-(AI FullStack)
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 autonomous full-stack engineer focused on building and deploying Generative AI applications and AI agents. This individual will work across frontend and backend, design and integrate LLM-powered features, and leverage Azure cloud services including vector search and modern deployment architectures
Technical Skills & Responsibilities
Full-Stack & Cloud Engineering:
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 autonomous full-stack engineer focused on building and deploying Generative AI applications and AI agents. This individual will work across frontend and backend, design and integrate LLM-powered features, and leverage Azure cloud services including vector search and modern deployment architectures
Technical Skills & Responsibilities
Full-Stack & Cloud Engineering:
- Strong experience with modern frontend + backend stacks (e.g., React, Node.js, Python, TypeScript, FastAPI, etc.)
- Understands API design, modular architecture, and secure data flows
- Hands-on experience calling LLMs via API, including prompt orchestration and function calling
- Skilled at indexing and retrieving data from vector databases (e.g., Azure AI Search hybrid + vector search)
- Experience building AI agents, including:
- Attaching skills/plugins exposed as APIs
- Using function calling / OpenAI tools paradigm
- Familiarity with Semantic Kernel and Azure AI Agents Framework
- Knowledge of MCP (Model Context Protocol) to expose internal systems and APIs as agent capabilities
- Proficient with Git and repository branching strategies
- Builds CI/CD pipelines and deploys workloads to Azure:
- Azure Web Apps / Azure Container Apps / AKS / ACR
- Monitoring, observability, and strong operational mindset
- Proficient with AI coding assistants (Cursor, GitHub Copilot, etc.) to maximize autonomy and delivery velocity
- Operates independently, takes ownership from concept to deployment
- Problem-solver with strong communication skills
- Thrives in fast-paced environments and continuously learns
- Thinks proactively about reliability, performance, and security
Key Skills
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