1,983 prompt engineering jobs in India.

... frameworks (e.g., LangChain, LlamaIndex) to augment traditional analytics.- Advanced Architecture: Design and optimize Retrieval-Augmented Generation (RAG) systems, prompt engineering frameworks, and specific fine-tuning pipelines to enhance product features and automation.- Production-Scale Infrastructure: Architect end-to-end ...

... and most importantly, the patients we serve. We are EVERSANA. The AI Adoption & Governance Analyst operationalizes AI standards across the Patient Services engineering organization and proves the SDLC transformation in metrics. This role is the connective tissue of the AI Hub COE: rolling out AI development tooling to Dev, ...

... AI/ML fundamentals — supervised vs unsupervised learning, model training, evaluation metrics, and data pipelines. - Exposure to Large Language Models (LLMs) — prompt engineering, fine-tuning concepts, RAG (Retrieval-Augmented Generation), and API-based integrations. - Familiarity with generative AI use cases in enterprise ...

... Azure OpenAI, LangChain, Semantic Kernel, AutoGen, CrewAI or similar). Strong knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, prompt engineering and agentic architectures. Experience with lakehouse/data-platform ecosystems (e.g. Databricks) for hosting and serving AI applications, including ...

... delivery ownerships and include Gen AI capabilities in the existing product roadmaps/ frameworks. The ideal candidate brings strong experience in Software engineering, AI/ML systems, system/ solution engineering, distributed architecture, and platform design, along with recent hands-on work in Generative AI, multi-agent ...

... databases (Oracle preferred), including data modeling and performance optimization. - Proven experience delivering AI / ML or GenAI solutions to production (LLMs, prompt engineering, RAG, AI agents). - Experience with Microsoft 365 and Power Platform (Copilot Studio, Power Automate, Power BI, SharePoint) and Excel / VBA automation. ...

... production cycle to accelerate ideation, plotting, outline generation, and line-editing. - Pipeline & Quality Control: Set up standardized SOPs for content output, prompt engineering, and quality benchmarks to scale production efficiently. - Performance Analysis: Review engagement data to tweak storytelling hooks, pacing, and ...

... production software - Experience developing engineering standards, workflows, or guardrails for AI-assisted software development - Familiarity with modern AI engineering concepts such as LLM APIs, tool use, agents, RAG, evaluation, and prompt/context engineering - Experience measuring and improving engineering productivity ...

... entry-level contributors to senior executive positions. - Lead recruitment efforts across diverse technical domains, including Software Development, Data Engineering, Cloud Infrastructure, Cybersecurity, Product Management, DevOps, Data Science, AI/ML, Business Analysis, and Quality Engineering. - Formulate and implement ...

... comparable real-time voice/conversational AI technologies.- Strong understanding of LLMs, Generative AI, Agentic AI, RAG, embeddings, vector databases, and prompt engineering.- Experience designing scalable enterprise AI architectures.- Strong understanding of API integration, microservices, event-driven architectures, ...

... security challenges associated with large language models (LLMs), including sensitive information disclosure and excessive agency. Through hands-on security engineering, you will develop deterministic test cases, create evaluation frameworks, and establish reliable methods for distinguishing vulnerable code from secure implementations. ...

... Python and one or more of PowerShell, Bash, or JavaScript/TypeScript, plus experience with Git, testing, debugging, APIs, and CI/CD. - Familiarity with LLMs, prompt engineering, RAG, embeddings/vector search, agent frameworks, tools or function calling, orchestration, evaluation, guardrails, and human-in-the-loop patterns. ...

... working with ML/AI systems, building , testing, or evaluating models in production environments, including hands-on experience with LLM-based applications, prompt engineering, RAG pipelines, or agentic workflows - 2+ years as a senior/lead, owning evaluation strategy, quality frameworks, and technical decisions for complex ...

... implementing Agentic AI solutions and multi-agent systems. - Experience building and deploying MCP (Model Context Protocol) agents and services. - Experience with prompt engineering, LLM evaluations, testing frameworks, and guardrails. - Experience developing Retrieval-Augmented Generation (RAG) solutions. - Familiarity with ...

... systems. - Experience in structuring, tagging, and governing content for AI/ML consumption is a plus. - Proven ability to work cross-functionally with Product, Engineering, Marketing, Sales, Solution Consulting, Value Engineering, and Services teams. - Bachelor’s degree or equivalent professional experience required. - Travel: ...

... pipelines, integrate GenAI capabilities into data workflows, optimize token usage and cost efficiency, and support production-grade deployments using modern engineering, containerization and CI/CD practices. While the primary focus will be on Google Cloud, candidates should also understand how similar data engineering, AI/ML ...

... transformation initiatives. - Experience integrating AI-powered capabilities, LLMs, agents, or AI services into software products. - Familiarity with modern AI engineering concepts such as prompt engineering, RAG, tool usage, evaluation frameworks, and agent-based systems. What Success Looks Like A successful Staff Software ...

... hands-on expertise in Python, SQL, TensorFlow/PyTorch , and modern AI/ML frameworks. - Experience designing and building LLM-powered applications , including prompt engineering, Retrieval-Augmented Generation, vector search, and fine-tuning pipelines. - Hands-on experience with agentic AI frameworks such as LangGraph, AutoGen, ...

... decision-making, and delivery confidence while retaining appropriate human oversight and control. - Practical experience with generative AI, coding assistants, prompt engineering, agent workflows, tool integration, and evaluation of AI-generated code and test artefacts for correctness, security, maintainability, and responsible ...

... under which an agent must stop and escalate rather than continue. - Set the standards the program builds to for AI use, covering how work is scoped to an agent, prompt and context engineering, testing for repeatability, documentation and the handling of sensitive data. - Advise program leadership on where AI is appropriate, ...