Inactive
E

Ernst & Young

Global professional services: consulting, assurance, tax

Digital – Senior

AI Application Engineering +1Posted on Oct 29
Full-timeKolkata, West Bengal, IndiaNo salary listedIn-person

About the Job

Requirements

  • Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, Engineering, or a related field.
  • 4-8 years of overall hands-on experience in software/AI engineering (not limited to Generative AI).
  • Proven track record of delivering production-grade AI/ML solutions.
  • Very strong proficiency in Python and its AI/ML ecosystem.
  • Solid hands-on experience with Generative AI (LLMs, prompt engineering, RAG, embeddings, fine-tuning).
  • Strong foundation in Machine Learning and Deep Learning concepts and techniques.
  • Good working knowledge of NLP and Transformer-based architectures.
  • Production-grade experience designing and developing REST/APIs and integrating AI models into services.
  • Demonstrated experience in scaling applications and optimizing performance for high-volume workloads.
  • Hands-on experience with Microsoft Azure cloud services.
  • Experience in deploying and operating models/services in production environments (CI/CD, containerization, monitoring).

Responsibilities

  • Own features end-to-end, from problem framing and model development to API design, deployment, and scaling on the cloud.
  • Design, build, and deploy production-grade AI systems.
  • Engage directly with stakeholders to translate business needs into scalable technical solutions.
  • Design and develop REST/APIs and integrate AI models into services.
  • Scale applications and optimize performance for high-volume workloads.
  • Deploy and operate models/services in production environments (CI/CD, containerization, monitoring).
  • Operate as a strong individual contributor and lead at a stakeholder engagement capacity.
  • Guide and mentor junior engineers.

Desired Qualifications

  • Hands-on experience building Agentic AI systems (multi-agent orchestration, tool/function calling, autonomous workflows).
  • Experience with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or AutoGen.
  • Experience with vector databases (e.g., Pinecone, FAISS, Azure AI Search).
  • Familiarity with MLOps/LLMOps practices and tooling.
  • Experience with Docker/Kubernetes.
  • Exposure to Azure AI/OpenAI services, Azure ML, and serverless deployments.
  • Experience working in Agile/Scrum delivery environments.
  • Excellent verbal and written communication skills.
  • Ability to clearly articulate technical concepts to both technical and non-technical audiences.
  • Strong ownership, accountability, and a delivery-focused mindset.
  • Leadership presence and the ability to guide and mentor junior engineers.
  • Strong problem-solving and analytical thinking.
  • Collaborative team player who can also work independently with minimal supervision.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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