AIML Engineer-Oracle AI

Job Title : AIML Engineer-Oracle 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 AI-powered applications and agentic AI solutions leveraging Python, LangChain, LangGraph, LLMs, RAG, Oracle Database 23c/26ai, and Oracle APEX. You will work closely with cross-functional teams to build scalable AI solutions that integrate enterprise data, intelligent agents, and modern application interfaces to solve complex business problems.

• Agentic AI Development: Design, develop, and deploy AI-powered applications and intelligent agents using Python, LangChain, and LangGraph to solve complex business use cases.
• LLM Integration: Configure and integrate Large Language Models (LLMs) with Oracle-based applications and enterprise data, enabling intelligent search, conversational AI, automation, and decision-support capabilities.
• RAG Architecture: Design and implement Retrieval-Augmented Generation (RAG) solutions, integrating enterprise data and retrieval mechanisms with LLM-powered applications within the Oracle Database 23c/26ai ecosystem.
• Oracle AI Development: Leverage Oracle Database capabilities to build AI applications that combine enterprise data, vector search, LLMs, and intelligent application workflows.
• Oracle APEX Development: Build intuitive and interactive application interfaces, dashboards, and reports using Oracle APEX.
• SQL & PL/SQL Development: Develop efficient SQL queries, stored procedures, functions, packages, and other database components using SQL and PL/SQL.
• AI Application Integration: Integrate Python-based AI services and agentic workflows with Oracle databases and APEX applications to deliver end-to-end AI solutions.
• Solution Engineering: Design scalable and production-ready AI architectures that bring together LLMs, RAG, agentic frameworks, Oracle databases, and application interfaces.
• Performance & Optimization: Optimize AI applications, database queries, RAG pipelines, and agentic workflows for performance, scalability, reliability, and maintainability.
• Cross-Functional Collaboration: Work closely with Consulting, Engineering, Data Science, and other teams to translate business requirements into practical Oracle AI solutions.
• Client Engagement: Collaborate with clients and stakeholders to understand business requirements, demonstrate Oracle AI capabilities, and identify opportunities for AI-led transformation.

What do we expect?

• Python & Agentic AI Expertise: Strong hands-on experience developing Python applications using agentic AI frameworks such as LangChain and LangGraph.
• Generative AI & LLM Expertise: Experience integrating and configuring LLMs for enterprise AI use cases, including conversational AI, intelligent automation, and AI agents.
• RAG Expertise: Proven experience designing and implementing RAG architectures, including embeddings, vector search, document/data retrieval, context management, and LLM integration.
• Oracle Database Expertise: Hands-on experience with Oracle Database 23c/26ai, with a strong understanding of Oracle's AI and vector capabilities.
• Oracle APEX: Strong hands-on experience with Oracle APEX for building application interfaces, dashboards, forms, and reports.
• SQL & PL/SQL: Strong proficiency in SQL and PL/SQL, including complex queries, stored procedures, functions, packages, and database optimization.
• AI & Database Integration: Experience integrating AI/LLM applications with enterprise databases and leveraging structured and unstructured data for AI solutions.
• Problem-Solving Mindset: Strong analytical and problem-solving skills, with the ability to translate complex business requirements into scalable AI solutions.
• Communication Skills: Excellent communication and collaboration skills, with the ability to explain AI, database, and application concepts to both technical and non-technical stakeholders.
• Productionization: Experience deploying and maintaining AI applications in enterprise environments with an emphasis on security, scalability, performance, and reliability.

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.