3,564 api developer jobs in India.

... with a strong focus on modern backend engineering and distributed systems. The ideal candidate will have deep expertise in Java, Spring Boot, Microservices, REST APIs, Kafka, and databases , along with proven experience mentoring engineering teams and driving technical excellence across the software development lifecycle. ...

... can lead the design, architecture, and technical strategy for enterprise-scale AI https://jobeax.com/link/D4GLjfywL6FEvFfU role will play a critical part in shaping how AI solutions are designed, deployed, governed, and scaled across diverse enterprise and government-facing use https://jobeax.com/link/AYOZvSZDEx3PMuUt ideal ...

... solutions using Large Language Models (LLMs), NLP and cloud-based AI platforms. The ideal candidate should have strong expertise in Python, GenAI frameworks, scalable API development, and document intelligence solutions, expertise in building traceable, explainable and auditable solutions. Experience in US Healthcare domain is ...

... will be able to facilitate relationships with senior executive stakeholders, as well as easily interact with and give guidance to technology experts, software developers, IT professionals, and system architects to ensure better CX and compliance with global AWS standards, practices and policies. 7+ years of design, implementation, ...

... traditional SaaS built with AI-assisted development https://jobeax.com/link/UeihKekmHfcz25oy you will build : - Production SaaS features : end-to-end from UI to API to data model to deployment- AI-embedded product capabilities where required : workflow automation, document intelligence, conversational interfaces- Evaluation ...

... AI infrastructure and mission-critical initiatives. The role combines hands-on engineering across LLMs, RAG, agentic AI, cloud platforms, data infrastructure, APIs, and secure DevOps practices . What You'll Do - Design, implement, and optimize production-grade AI/ML applications using LLMs, RAG, and prompt engineering . ...

... clustering, feature engineering, and model optimization.- Architect and deploy AI services on Microsoft Azure, including Azure Kubernetes Service (AKS), serverless APIs, and cloud-native services.- Define and implement MLOps best practices for model versioning, deployment, monitoring, and lifecycle management.- Lead AI initiatives ...

... People, Sales, Marketing, Support, and IT; the internal AI platform that powers them—model access and routing, agent runtimes, evaluation harnesses, and the developer tooling around them; and re-architecting business processes across our enterprise systems footprint to be AI-native. Our engineers in the US and India work ...

Would you like to be part of a team that delivers high-quality software to our customers At Data Services, our goal is to keep the world connected. We are a leading provider of analytics, helping customers understand the past, present, and predict what comes next.

Principal Data Scientist - 7+ Years - BangaloreWe are hiring a Principal - Data Scientist with GenAI for a leading global AI and analytics organization. com/link/FcjWxP7sjBm0F9WZ : Crescendo Global specializes in Senior to C-level niche recruitment.

Join a high impact data science team where your ideas move quickly from exploration to real world outcomes In this role you ll turn complex messy data into clear insights and intelligent products building machine learning and AI solutions that improve decisions automate workflows and elevate customer experiences If

... https://jobeax.com/link/MAX9nsOD19tFV6O6 Quality & Security:- Establish high standards for code quality, testing, security, and maintainability.- Ensure secure development practices across APIs, applications, databases, and cloud infrastructure.- Implement appropriate authentication, authorization, data protection, and API security mechanisms.- Drive ...

... clustering, feature engineering, and model optimization.- Architect and deploy AI services on Microsoft Azure, including Azure Kubernetes Service (AKS), serverless APIs, and cloud-native services.- Define and implement MLOps best practices for model versioning, deployment, monitoring, and lifecycle management.- Lead AI initiatives ...

About the Role :We are looking for a DevOps Engineer with strong experience in cloud infrastructure, Kubernetes, automation, CI/CD, and infrastructure-as-code.

Role Overview : We are looking for a hands-on Data Scientist with 3+ years of experience in Machine Learning and Deep Learning, along with practical exposure to modern LLM ecosystems. - Implementing instruction fine-tuning using various techniques and frameworks viz. - Practical experience with LLMs : 1.

... and data ingestion layers to enable real-time information retrieval and context-aware AI responses.- Develop and optimize backend services using Python and FastAPI to create reliable APIs that serve as the interface for our Agentic AI frameworks.- Implement robust monitoring, logging, and security protocols across the IT ...

... and technical capabilities and product knowledge. EY's financial services practice provides integrated Consulting services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading ...

Marketing Expert — AI Agent Environments Remote | Independent Contractor | $124,800–$208,000 annualized ($60–$100/hour) About the Role Bring your hands-on marketing expertise to the development and evaluation of next-generation AI agents.

... communications and provide quality insights to leadership https://jobeax.com/link/tHimJJWnl73Dwmn0 Stack :- Automation: Playwright, Selenium, Cypress, Appium, API Automation- API Testing: REST Assured, Postman, SoapUI- Programming: JavaScript, TypeScript, Java, Python, C#- Enterprise Architecture: Microservices, Distributed ...

... frameworks such as LangChain and LangGraph - Implement RAG (Retrieval Augmented Generation) pipelines using vector databases - Integrate LLMs with enterprise systems, APIs, and data sources - Fine-tune and evaluate LLMs for performance, accuracy, and cost optimization - Collaborate with data scientists, engineers, and product teams ...