DEQ - CON - AI/ML Java

Reposted Yesterday
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Fintech • Professional Services • Software • Financial Services
The Role
Develop and deploy LLM-based AI solutions and RAG applications using JavaScript/Node.js. Build AI agents, REST APIs, vector search integrations, and cloud-native microservices. Collaborate on prompt engineering, use cloud and container technologies, and support enterprise-scale AI deployments.
Summary Generated by Built In

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. 

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

AI/ML, FSD 

Responsibilities

AI/ML Engineer (JavaScript)

Looking for an AI/ML Engineer with strong JavaScript/Node.js experience to build and deploy AI-powered applications. The role involves developing LLM-based solutions, RAG applications, AI agents, REST APIs, and cloud-native services. Experience with Generative AI, vector search, AWS, Docker, and Kubernetes is preferred.

Key Skills: JavaScript/Node.js, LLMs, RAG, Prompt Engineering, AWS Bedrock, OpenAI/Claude/Gemini, REST APIs, Docker, Kubernetes, OpenSearch, Microservices.

Experience: 4+ years in AI/ML and software engineering with exposure to enterprise-scale AI solutions.

Qualifications

Equal employment opportunity information 

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. 
 

Skills Required

  • Strong JavaScript and Node.js experience
  • 4+ years in AI/ML and software engineering
  • Experience developing LLM-based solutions, RAG applications, and AI agents
  • Prompt engineering experience
  • Building REST APIs and cloud-native microservices
  • Experience with OpenSearch and vector search technologies
  • Familiarity with AWS Bedrock and OpenAI/Claude/Gemini APIs
  • Experience with Generative AI frameworks
  • Experience with AWS (general), Docker, and Kubernetes
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The Company
HQ: New York, NY
30,867 Employees

What We Do

KPMG entities in India are established under the laws of India and are owned and managed (as the case may be) by established Indian professionals. Established in September 1993, the KPMG entities have rapidly built a significant competitive presence in the country. Today we operate from offices across 14 cities including in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities have a domestic client base of over 2700 companies. Our global approach to service delivery helps provide value-added services to clients. Our differentiation is derived from a rapid performance-based, industry-tailored and technology-enabled business advisory services delivered by some of the leading talented professionals in the country. KPMG professionals are grouped by industry focus and our clients are able to deal with industry professionals who speak their language. Our internal information technology and knowledge management systems enable the delivery of informed and timely business advice to clients.

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