Senior / Lead - GenAI Engineer - Data & AI
Chennai, Bangalore, Hyderabad, Pune, NCR
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
We are looking for a Senior / Lead GenAI Engineer to design and deploy production-grade AI systems for enterprise use cases.
In this role, you will build LLM-powered applications such as retrieval-augmented systems, agentic workflows, with a strong focus on scalability, reliability, and real-world impact. Also, you will work on internal product development and support client-focused projects, with exposure to the pharma domain being a plus.
You'll collaborate with experienced team members and learn to create impactful AI solutions while optimizing and developing GenAI applications.
Your responsibilities will include:
- Supporting the design, development, and deployment of GenAI solutions, learning to address challenges like hallucinations, bias, and latency, while contributing to performance and reliability improvements.
- Collaborating with both internal teams and external stakeholders, particularly in the pharma space, to understand business requirements and contribute to the development of tailored AI-powered systems.
- Assisting in the full lifecycle of AI project delivery, including ideation, model fine-tuning, deployment, and performance monitoring under the guidance of senior team members.
- Learning and applying fine-tuning techniques (such as LoRA, PEFT) to Large Language Models (LLMs) for specific business needs.
- Assisting in the development of scalable pipelines for AI model deployment, including handling error management, monitoring, and retraining strategies.
- Actively participating in a collaborative environment, sharing ideas and working as part of a dynamic team of data scientists and AI engineers.
What do we expect
Key Responsibilities:
GenAI & Agentic AI Development
- Design and deploy NLP and GenAI solutions using LLMs, fine-tuning techniques (LoRA, PEFT), and AI-powered automation.
- Build and optimize LLM-powered chatbots, virtual assistants, and AI agents with high accuracy and contextual awareness.
- Implement agentic AI systems enabling autonomous, multi-step workflows using orchestration frameworks (LangChain, LlamaIndex, AutoGen, etc.).
Architecture & Pipelines
- Architect scalable NLP pipelines covering text preprocessing, entity recognition (NER), summarization, Q&A, and conversational AI.
- Lead research and implementation of advanced GenAI techniques: LLMs, Agentic Solutioning, transformers, embeddings, RAG, and multi-modal models.
- Optimize inference pipelines using quantization, model distillation, and retrieval-enhanced generation for performance and cost efficiency.
Production & MLOps
- Develop scalable model deployment pipelines with robust error handling, monitoring, and retraining strategies.
- Ensure LLM observability and guardrails - covering model monitoring, safety, fairness, and regulatory compliance.
- Lead MLOps practices: CI/CD pipelines, containerization (Docker, Kubernetes), and cloud deployments on AWS, GCP, or Azure.
Collaboration & Delivery
- Collaborate with cross-functional teams to integrate GenAI solutions into enterprise applications via robust APIs and microservices.
- Work with internal teams and external stakeholders (including pharma clients) to translate business requirements into AI solutions.
- Mentor junior engineers, champion AI best practices, and contribute to AI governance frameworks in regulated industries.
Key skills
- 5-7.5 years in NLP, Generative AI, or related ML discipline.
- 2+ years working with GenAI/LLMs in production systems.
- Deep expertise in LLMs, transformer architecture, Agentic Frameworks and fine-tuning techniques.
- Strong knowledge of NLP pipelines, including text preprocessing, tokenization, embeddings, and named entity recognition (NER).
- Experience with retrieval-augmented generation (RAG), vector databases, (FAISS, Pinecone, ChromaDB), and prompt engineering.
- Hands-on experience with Agentic AI systems, LLM observability tools, and AI safety guardrails.
- Proficiency in Python and backend development (Django/Flask preferred), with strong API and microservices expertise.
- Familiarity with MLOps, cloud platforms (AWS, GCP, Azure), and scalable model deployment strategies.
- Prior experience in life sciences, pharma, or other regulated industries is a plus.
- A problem-solving mindset with the ability to work independently, drive innovation, and mentor junior engineers.
What makes this role exciting
- Opportunity to work on real-world, production-grade GenAI systems at enterprise scale.
- Exposure to diverse industries and high-impact problem statements.
- A strong ecosystem of AI practitioners, accelerators, and innovation-led culture.
- Ability to shape next-generation AI solutions beyond prototypes.
.If you have expertise in any of the above skills then let us know and we will align opportunities with your strengths and support upskilling.
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.
