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EY-Consulting AI Enabled Automation Senior Full Stack Developer
Job Description :
We are seeking a highly skilled and experienced Senior Full Stack AI Developer to lead the design development and implementation of innovative solutions across both Conversational AI and Generative AI domains. The ideal candidate will possess extensive expertise in full-stack development including Python data engineering JavaScript and strong proficiency in either ReactJS or Angular coupled with . A proven track record in leveraging Generative AI for cutting-edge applications and developing sophisticated chatbot solutions is essential.
Key Responsibilities :
- Lead the end-to-end design development and deployment of scalable and robust AI-powered applications from frontend interfaces to backend services.
- Architect and implement Generative AI solutions including Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) systems and agentic frameworks.
- Develop and integrate complex conversational AI systems and chatbots focusing on natural language understanding and generation.
- Design and implement robust backend APIs and data pipelines using Python and ensuring high performance and scalability for AI workloads.
- Develop interactive intuitive and user-friendly front-end interfaces using either ReactJS or Angular ensuring seamless user experiences with AI capabilities.
- Collaborate with AI Researchers Data Scientists and other stakeholders to translate complex AI models and research into deployable production-ready applications.
- Write clean maintainable and high-quality code conducting thorough testing debugging and refinement to ensure optimal performance and reliability.
- Stay abreast of the latest advancements and trends in Generative AI Conversational AI and full-stack technologies applying them to enhance our product offerings.
- Provide technical leadership mentorship and conduct comprehensive code reviews for junior developers fostering a culture of technical excellence.
Qualifications :
Bachelors degree in Computer Science Artificial Intelligence Data Science or a related quantitative field.Minimum 6-9 years of progressive experience in full-stack software development with at least 3-4 years specifically on AI-driven projects (Conversational AI and Generative AI).Demonstrable experience building and deploying Generative AI solutions (e.g. RAG pipelines fine-tuning LLMs prompt engineering using frameworks like LangChain or LlamaIndex).Strong practical experience with conversational AI platforms and developing chatbots.Advanced proficiency in Python for AI / ML development and backend services.Advanced proficiency in JavaScript / TypeScript with strong demonstrable experience with either ReactJS or Angular and server-side programming with .Proven experience with cloud platforms preferably Azure (e.g. Azure OpenAI Azure ML Azure AI Search Azure Functions Azure Web Apps).Solid understanding and experience with database technologies including both relational databases (e.g. SQL Server PostgreSQL) and NoSQL databases (e.g. MongoDB Cosmos DB Vector Databases).Experience with API design and development (RESTful APIs).Deep understanding of NLP ML algorithms and deep learning techniques relevant to AI applications.Familiarity with data preprocessing feature engineering and MLOps practices.Strong problem-solving analytical and architectural design skills.Excellent communication collaboration and presentation skills for effective interaction with technical and non-technical teams.Experience with Agile development methodologies and proficiency with version control systems (e.g. Git).A strong portfolio demonstrating successful full-stack projects involving Conversational AI and / or Generative AI is highly desirable.Skills :
Programming Languages : Python (advanced) JavaScript (advanced) TypeScript (required for Angular).Frontend Frameworks : Strong proficiency in either ReactJS or Angular.Backend Technologies : (strong proficiency) FastAPI / Flask / Django (Python frameworks).Cloud Platforms : Azure (preferred : Azure OpenAI Azure ML Azure Functions Azure App Services Azure Blob Storage Cosmos DB).AI / ML Concepts & Frameworks :
Generative AI : LLMs Transformers Prompt Engineering Retrieval-Augmented Generation (RAG).Conversational AI : NLU NLG Intent Recognition Entity Extraction.Libraries / Frameworks : LangChain LlamaIndex Hugging Face TensorFlow PyTorch.Databases : Relational (SQL Server PostgreSQL) NoSQL (MongoDB Cosmos DB) Vector Databases (e.g. Pinecone Azure AI Search / Cognitive Search for vector capabilities).API Development : RESTful APIs Web Services.Data Engineering : Data pipelines ETL / ELT concepts for AI data.DevOps & MLOps : CI / CD pipelines Git Docker Kubernetes (familiarity with deployment of AI models).Soft Skills : Leadership problem-solving analytical thinking communication collaboration adaptability.EY Building a better working world
EY exists to build a better working world helping to create long-term value for clients people and society and build trust in the capital markets.
Enabled by data and technology diverse EY teams in over 150 countries provide trust through assurance and help clients grow transform and operate.
Working across assurance consulting law strategy tax and transactions EY teams ask better questions to find new answers for the complex issues facing our world today.
Required Experience :
Senior IC
Key Skills
Continuous Integration,APIs,Jenkins,Junit,Distributed Control Systems,Testng,GAMP,Test Automation,CI / CD,Cucumber,Programmable Logic Controllers,Selenium
Employment Type : Full Time
Experience : years
Vacancy : 1