Lead the end-to-end quality strategy for a GenAI platform, focusing on agentic workflows and LLM orchestration. Design evaluation frameworks that combine deterministic validation with LLM-as-Judge grading to ensure AI response quality.
Remote Software Development Jobs in India (3,258)
Remote in = India
Job category = Software Development
Lead the implementation of AppViewX solutions to automate customer IT network and Public Key Infrastructure. Drive customer onboarding, solutioning, and ongoing adoption while acting as a trusted technical advisor.
The role involves designing and delivering end-to-end Master Data Management solutions, including data model design and architecture blueprints. Responsibilities span the entire project lifecycle from discovery and planning to production rollout and hypercare support.
The role involves evaluating deals, building financial models, and performing market research to identify new investment opportunities. Additionally, the candidate will monitor portfolio companies and assist in the development of business strategies for acquired companies.
Design and implement end-to-end machine learning systems from research to production to optimize customer engagement workflows. Collaborate with product managers and engineers to define the vision and strategy for AI-driven products.
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Lead the development of high-performance, scalable microservices and architect event-driven systems using Java 17+ and Apache Kafka. Responsible for designing secure RESTful APIs and optimizing database schemas for both RDBMS and NoSQL systems.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
MES PAS X - Application Engineer
The businesses of Merck KGaA, Darmstadt, Germany
·
Full Time
·
2 Weeks Ago
The businesses of Merck KGaA, Darmstadt, Germany
Deliver IT projects and services for business applications within the Manufacturing, Quality, and Operations Technology domain, focusing on Manufacturing Execution Systems. Manage ITIL processes, external suppliers, and ensure GxP compliance as a Qualification Owner.
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Lead the development and deployment of end-to-end AI, ML, and Agentic AI solutions within a cloud-native environment. Drive strategic initiatives for intelligent workload management, cloud cost optimization, and MLOps best practices.
![Smart Working Solutions is hiring for remote Senior NodeJS Developer (Remote, Full-Time) [HR176]](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
Senior NodeJS Developer (Remote, Full-Time) [HR176]
Smart Working Solutions
·
Full Time
·
2 Weeks Ago
Smart Working Solutions
Develop and maintain scalable, real-time SaaS applications using NodeJS and TypeScript. Collaborate with cross-functional teams to drive architectural decisions and implement engineering best practices across the software development lifecycle.
Design, build, and scale enterprise-grade AI solutions and agents to solve business problems. Focus on productionizing LLM-based applications and integrating them with GCP and Databricks platforms.
Lead Knowledge Graph and GraphRAG initiatives to build graph-powered chatbots and recommendation engines. Develop solutions for entity resolution and document intelligence using LLMs and Neo4j.
Design, develop, and maintain end-to-end ETL/ELT pipelines and large-scale data processing frameworks using Python and PySpark. Architect and manage cost-efficient data solutions within the GCP ecosystem, including data warehouse and data lake architectures.
Design and optimize scalable data pipelines and end-to-end ML systems for SaaS use cases such as churn and recommendations. Own the full ML lifecycle from feature engineering to production deployment, monitoring, and retraining.
The role involves building and driving critical operational processes to ensure the timely delivery of customer commitments. Key tasks include managing daily operations, conducting audits, and collaborating with cross-functional teams to optimize KPIs.
Develop and maintain scalable web applications and RESTful APIs using .NET Core and modern UI frameworks. Collaborate with cross-functional teams to implement technical solutions and contribute to architectural decisions.
Senior IT Project Manager- Agentic AI- 100% REMOTE
Full Potential Solutions
·
Full Time
·
2 Weeks Ago
Full Potential Solutions
Lead the delivery and execution of Agentic and Conversational AI projects from discovery through go-live and hypercare. Coordinate cross-functional teams to manage project plans, technical requirements, and production readiness for global clients.
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Design, develop, and maintain automated test suites and system testbeds for network security product features. Own end-to-end quality by performing functional, integration, and regression testing while collaborating with developers to validate fixes.
Lead end-to-end solution architecture, design, and delivery for Salesforce Service Cloud implementations. Act as a bridge between business requirements and technical execution to ensure scalable, high-quality solutions.
Lead the architecture, design, and development of large-scale, secure, and scalable cloud software systems. Coordinate with product and engineering teams to translate business goals into technical roadmaps and mentor engineers across all levels.
Data Operations Analyst (AI-Assisted Data Transformation & Structuring)
Careerflow.ai
·
Full Time
·
2 Weeks Ago
Careerflow.ai
The analyst is responsible for extracting and transforming raw data from CSV and PDF sources into highly structured JSON formats. They must ensure 100% accuracy through manual validation and the responsible use of AI tools.
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