1,257 prompt engineering jobs in India.

... Engineering, Data Science, CS, Math or related STEM; excellent academics Required Tech/Skills- Python; LangChain, pandas, pydantic, sklearn, PyTorch; data engineering tools; GenAI techniques (RAG, few-shot, prompt/context engineering, multi-agent, multimodal, fine-tuning) Domain Knowledge- Supply chain (required foundation); ...

... Strategy : Architect metadata filtering and hybrid search strategies within vector databases (e.g., Pinecone, Milvus).- Team Mentorship : Guide junior analysts in prompt engineering, chunking strategies, and code https://jobeax.com/link/s1TSLrTZCAbltCc4 Skills & Qualifications :- Tech Stack : Python, PyTorch/TensorFlow, LangChain, ...

... API and Mobile- Strong Python-based automation and API testing skills- Experience with Postman, BrowserStack/TestMu AI or similar tools- Good understanding of Prompt Engineering and ability to assess the impact of prompt changes- Agile development experience- Strong analytical, exploratory and problem-solving skills- Strong ...

... (Preferred)- Backend: FastAPI, Django, REST APIs, WebSockets, Async Programming (asyncio), Microservices, Redis- LLMs: OpenAI APIs, GPT-4o, Claude, Gemini, Prompt Engineering, Function Calling, Structured Outputs, Context Window Management, Token Optimization, AI Safety, Model Evaluation- Voice AI: STT, TTS, OpenAI Realtime ...

... Microsoft Copilot Studio.- Structure multi-turn dialogue flows, topics, intents, and triggers to deliver natural, effective conversational experiences.- Implement prompt engineering and precise instruction design to ensure accurate, context-aware AI agent responses.- Create reusable components, design templates, and skills to ...

... Microsoft Copilot Studio.- Structure multi-turn dialogue flows, topics, intents, and triggers to deliver natural, effective conversational experiences.- Implement prompt engineering and precise instruction design to ensure accurate, context-aware AI agent responses.- Create reusable components, design templates, and skills to ...

... product Pre-Sales — not adjacent to it, in it - Working knowledge of the AI stack: LLMs, embedding models, vector databases, inference costs, token economics, prompt engineering, RAG pipelines, and API-based AI services - Able to scope and run technically rigorous POCs without needing an engineer to translate - Commercial ...

... https://jobeax.com/link/qs9KdyTXsthAIOUb Requirements : - Practical experience with Generative AI, LLMs, and agentic AI development.- Knowledge of RAG, embeddings, prompt engineering, and integration of LLMs into applications.- Experience with Oracle Cloud Infrastructure (OCI), preferably including OCI Generative AI Service, Functions, ...

... internal AI-powered developer tools - code assistants, smart documentation helpers, automated testing aids, and similar workflow accelerators.- Design lightweight prompt engineering solutions and manage LLM API call lifecycles - error handling, retries, latency, and cost-awareness on the client side.- Collaborate with backend, ...

... applications to maintain system reliability. - Create and maintain detailed technical documentation to support team collaboration and knowledge sharing. - Apply prompt engineering techniques and utilize AI evaluation frameworks to refine model outputs and accuracy. - Oversee the complete lifecycle of machine learning models, ...

... Architect advanced RAG pipelines, including chunking strategies, retrieval methods, embedding optimization, reranking, and grounding techniques. - Drive prompt engineering standards across solutions, including system prompt design, instruction tuning, reasoning control, and consistency guidelines. - Define and govern prompt ...

... in Python or JavaScript/TypeScript.- Experience building and deploying production-grade Agentic AI or complex reasoning systems.- Strong knowledge of LLMs, prompt engineering, RAG, AI agents, memory, and tool integration.- Hands-on experience with LangChain or similar LLM/agent frameworks.- Experience with LLM evaluation ...

... Language Processing (NLP). - Generative AI & LLMs: Understanding of Generative AI, Large Language Models, Transformer fundamentals, tokens, and embeddings. - Prompt Engineering: Knowledge of prompting techniques, prompt optimization, and effective LLM interactions. - LLM APIs: Basic understanding of API integration and building ...

... across agent frameworks, distributed systems design, scalability, security controls, compliance requirements, and engineering execution. Key Responsibilities Engineering Leadership - Build, mentor, and manage a team of 15–30 software engineers, architects, and technical leads. - Advance engineering excellence through strong ...

... platforms, and composable technology programs.- Evaluate, pilot, and introduce AI-powered testing tools, autonomous testing platforms, observability solutions, and engineering productivity tools.- Create AI-aware validation strategies for Ask Ralph, Outfitting, and similar features, covering prompt behavior, answer relevance, groundedness, ...

... Test for hallucinations, prompt injection, jailbreaks, data leakage, and unsafe or out-of-scope responses. - Detect and quantify regressions caused by model, prompt, retrieval, or knowledge changes. - Triage issues with Engineering and Product, determine root causes, re-test fixes, and validate the end-user experience. - ...

... production issues, workflow failures, access requests, and coordinate resolution with technical teams.- Support AI initiatives including Generative AI use cases, prompt engineering, responsible AI practices, and automation opportunities.- Conduct product demonstrations, end-user training, and adoption sessions.- Identify opportunities ...

... and deploy AI-powered applications using Python, Large Language Models (LLMs), and modern AI frameworks.- Build and integrate Generative AI solutions using prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and agentic workflows.- Develop backend services, REST APIs, and data pipelines ...

... (Entra ID, Keycloak); secrets and certificate lifecycle automation (Key Vault, cert-manager, ACME). • AI and GenAI fundamentals: LLM capabilities and limits, prompt engineering, context engineering, structured output and function/tool calling, fine-tuning vs. prompting trade-offs, token and inference cost management, and ...

... Deployment and MonitoringAI & Generative AILarge Language Models (LLMs)Claude, OpenAI, and related AI platformsAgentic AI FrameworksModel Context Protocol (MCP)Prompt EngineeringRAG ArchitecturesAI Application Deployment Qualifications Bachelor's Degree (BE/BTech) in Computer Science, Information Technology, Data Science, ...