AI Engineer – Senior / Lead / Staff

Title: AI Engineer – Senior / Lead / Staff

Location: 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™ (2022-25), 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 an AI engineer specializing in Agents, Generative AI, and Machine Learning Engineering (MLE), you will be at the forefront of AI innovation. Your role will involve designing, building, deploying, and operationalizing solutions for business problems across industries using large language models (LLMs) and agents. You will be part of the core AI solution development team and work closely with product development, platform engineering and enterprise architecture teams.

Your Key Responsibilities:

● Agents, Generative AI, NLP & AIOps: Design, develop, deploy, and scale advanced applications using LLMs (e.g., GPT, Gemini, LLaMA, Mistral), agent orchestration engines (e.g., LangGraph, AI foundry, Databricks Agent Bricks, ADK) NLP methods, and AIops best practices to build solutions to solve business problems.

● AI Engineering & Deployment: Implement end-to-end AI pipelines—including data preprocessing, model training, versioning, testing, and deployment—using tools like MLflow, Docker, Kubernetes, and CI/CD practices.

● Innovative Problem Solving: Leverage cutting-edge AI and ML methodologies to solve practical business problems and deliver measurable results

Scalable AI Solutions: Ensure robust deployment, monitoring, and retraining of models in production environments, working closely with data engineering and platform teams.

● Data-Driven Insights: Conduct deep analysis of structured and unstructured data to uncover trends, guide decisions, and optimize AI models.

● Cross-Functional Collaboration: Partner with Consulting, Engineering, and Platform teams to integrate AI/ML solutions into broader architectures and business strategies.

What do we expect?

•Overall 4–12 years of hands-on experience in AI and ML, with recent focus on Agents, Generative AI, and AIOps

• Expertise in Generative AI: Significant hands-on experience in building and deploying solutions using LLMs, Agents to solve business problems

• Hands-on experience with building and optimizing RAG agents, enterprise search applications, large scale unstructured data processing, prompt tuning, and setting up event driven architectures

• Production Readiness: Proven experience in deploying and scaling Gen AI, agents and other ML models including experience in performance optimization

• Deployment Tools & Best Practices: Strong experience in Devops and associated technology such as containerization (Docker), orchestration (Kubernetes), model monitoring and cloud platforms (AWS/GCP/Azure) for deploying AI solutions at scale.

• Expertise in Software development using Python including using frameworks (such as Django/Flask) or other similar technologies.

• In-depth understanding and experience building APIs and microservices

• Innovation & Curiosity: A passion for staying updated with the latest in Gen AI, LLMs, and ML engineering practices.

• Communication: Ability to translate complex technical concepts into business-friendly insights and recommendations.

• Eagerness to rapidly prototype ideas, experiment, and turn them into real-world solutions that can scale.

• Excited to explore emerging technology and frameworks in agentic and Gen AI technology areas

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.