TC AI Engineer Senior

Delhi - India

Monthly Salary: Not Disclosed

Posted on: 16 hours ago

Vacancies: 1 Vacancy

Job Summary

At EY were all in to shape your future with confidence.

Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Generative AI Lead Developer

Role Overview:

The Generative AI Lead Developer will be responsible for designing building and deploying cutting-edge generative AI applications and services. This role involves hands-on development of LLM-powered solutions such as copilots virtual assistants and document intelligence tools while also leading a team of developers in implementing scalable secure and compliant GenAI systems.

Youll collaborate closely with AI architects data scientists and business product owners to bring generative AI use cases from prototype to production ensuring high performance safety and business alignment..

Responsibilities:

Solution Development

Develop and deploy generative AI applications using LLMs (GPT Claude Gemini Mistral etc.) and orchestration frameworks (LangChain LlamaIndex Semantic Kernel).
Implement Retrieval-Augmented Generation (RAG) pipelines integrating vector databases.
Design and optimize prompts chains and agentic workflows for domain-specific use cases.
Integrate AI models into enterprise systems via APIs and microservices

Technical Leadership

Lead a small team of AI developers and ML engineers to deliver high-quality production-ready GenAI solutions.
Establish coding best practices CI/CD pipelines and MLOps integration for model deployment and monitoring.
Conduct code reviews performance tuning and prompt optimization.
Partner with the AI Architect to design scalable and reusable components.
Work cross-functionally with business analysts and product teams to translate business needs into technical implementations.
Collaborate with data engineers on data curation preprocessing and embedding pipelines.

Model Management

Evaluate fine-tune and deploy large language models (LLMs) and multimodal models.
Manage model lifecycle versioning retraining and observability.
Implement guardrails for content filtering prompt injection defense and output validation.

Qualifications:

Bachelors or Masters degree in Computer Science AI/ML Data Science or related field.
610 years of total experience including at least 23 years in AI/ML solution development.
Strong proficiency in Python and experience with AI/ML frameworks (PyTorch TensorFlow Hugging Face Transformers).
Proven hands-on experience developing solutions using LLM APIs (OpenAI Azure OpenAI Anthropic Cohere etc.).
Experience with prompt engineering embeddings and vector search.
Solid understanding of MLOps tools and deployment (Docker Kubernetes MLflow Databricks Azure ML or AWS SageMaker).

Preferred Skills and Experience:

Experience in building conversational AI copilots or workflow automation tools.
Familiarity with orchestration frameworks like LangChain LlamaIndex or Semantic Kernel.
Experience integrating GenAI with enterprise systems (SharePoint ServiceNow SAP etc.).
Understanding of responsible AI principles data privacy model safety and bias mitigation.
Exposure to front-end frameworks (React Streamlit or Gradio) for building interactive AI applications.

EY Building a better working world

EY is building a better working world by creating new value for clients people society and the planet while building trust in capital markets.

Enabled by data AI and advanced technology EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance consulting tax strategy and transactions. Fueled by sector insights a globally connected multi-disciplinary network and diverse ecosystem partners EY teams can provide services in more than 150 countries and territories.

At EY were all in to shape your future with confidence.Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.Join EY and help to build a better working world.Generative AI Lead DeveloperRole Overview:The Generative AI Lead Developer...

At EY were all in to shape your future with confidence.

Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Generative AI Lead Developer

Role Overview:

Responsibilities:

Solution Development

Develop and deploy generative AI applications using LLMs (GPT Claude Gemini Mistral etc.) and orchestration frameworks (LangChain LlamaIndex Semantic Kernel).
Implement Retrieval-Augmented Generation (RAG) pipelines integrating vector databases.
Design and optimize prompts chains and agentic workflows for domain-specific use cases.
Integrate AI models into enterprise systems via APIs and microservices

Technical Leadership

Lead a small team of AI developers and ML engineers to deliver high-quality production-ready GenAI solutions.
Establish coding best practices CI/CD pipelines and MLOps integration for model deployment and monitoring.
Conduct code reviews performance tuning and prompt optimization.
Partner with the AI Architect to design scalable and reusable components.
Work cross-functionally with business analysts and product teams to translate business needs into technical implementations.
Collaborate with data engineers on data curation preprocessing and embedding pipelines.

Model Management

Evaluate fine-tune and deploy large language models (LLMs) and multimodal models.
Manage model lifecycle versioning retraining and observability.
Implement guardrails for content filtering prompt injection defense and output validation.

Qualifications:

Bachelors or Masters degree in Computer Science AI/ML Data Science or related field.
610 years of total experience including at least 23 years in AI/ML solution development.
Strong proficiency in Python and experience with AI/ML frameworks (PyTorch TensorFlow Hugging Face Transformers).
Proven hands-on experience developing solutions using LLM APIs (OpenAI Azure OpenAI Anthropic Cohere etc.).
Experience with prompt engineering embeddings and vector search.
Solid understanding of MLOps tools and deployment (Docker Kubernetes MLflow Databricks Azure ML or AWS SageMaker).

Preferred Skills and Experience:

Experience in building conversational AI copilots or workflow automation tools.
Familiarity with orchestration frameworks like LangChain LlamaIndex or Semantic Kernel.
Experience integrating GenAI with enterprise systems (SharePoint ServiceNow SAP etc.).
Understanding of responsible AI principles data privacy model safety and bias mitigation.
Exposure to front-end frameworks (React Streamlit or Gradio) for building interactive AI applications.

EY Building a better working world

EY is building a better working world by creating new value for clients people society and the planet while building trust in capital markets.

Enabled by data AI and advanced technology EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

Key Skills

APIs
C/C++
Computer Graphics
Go
React
Redux
Node.js
AWS
Library Services
Assembly
GraphQL
High Voltage

Apply Now

About Company

EY Studio+ Nederland

Bij EY Studio+ creëren we transformatieve ervaringen die mensen in beweging brengen en markten vormgeven. We combineren design, technologie en commercieel inzicht, aangevuld met EY.ai, een verenigend platform en aangedreven door ons volledige spectrum van diensten.

View Profile View Profile

AI AutoApply

Apply to 100+ jobs with one click