2,041 prompt engineering jobs in India.

... scalable, robust production https://jobeax.com/link/1eyrmHNst0oOnGC1 Qualifications:- Technical Pedigree: 3+ years of experience with Machine Learning, NLP, and Prompt Engineering.- Proven Impact: Experience building systems from 0 to 1 or 1 to 10 (typically in early or growth-stage startups.- Hands-on AI Experience: Mandatory ...

... build and optimize highly human-like AI voice agents for BFSI and enterprise use cases. This is a hands-on role at the intersection of Generative AI, LLMs, Prompt Engineering, NLP, Voice AI and Conversation https://jobeax.com/link/MPb56yANvZsIYSZb Responsibilities : - Design and develop conversational flows and dialogue ...

... Science, Artificial Intelligence, Information Technology, Data Science, Engineering, or a related field with 5+ years of experience in AI Engineering, Software Engineering, Machine Learning, or Generative AI.- Strong hands-on experience building applications using Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented ...

... AI experience.- Experience designing autonomous agents, multi-agent systems, tool-calling workflows, and agent orchestration.- Strong knowledge of LLMs, RAG, prompt engineering, embeddings, vector databases, and model evaluation.- Hands-on experience with frameworks such as LangGraph, LangChain, AutoGen, CrewAI, Semantic ...

... powered by Generative AI and large language models.- Familiarity with OpenAI, Azure OpenAI, Anthropic, Gemini, or equivalent LLM services.- Understanding of prompt engineering, function calling, and tool integration.- Experience implementing RAG workflows and working with vector databases.- Familiarity with frameworks such ...

... automation https://jobeax.com/link/OfTNakiwtq51n9YB Responsibilities :Intelligent Document Processing & Prompt Engineering :- Design, develop, test, and optimize prompts to improve document extraction accuracy and automation performance.- Configure and maintain extraction rules, AI models, prompt libraries, and validation logic.- ...

... AI Engineering team responsible for designing, building, and operating that agent portfolio in production. You own the full lifecycle: from architecture and prompt engineering through evaluation, deployment, and reliability. You work closely with Product, Platform, and customer-facing teams to translate industrial use cases ...

... orchestration. - Develop and operationalize multi-agent systems , incorporating patterns such as planning, tool usage, memory, and iterative reasoning. - Apply advanced prompt engineering techniques ( ReAct , few-shot learning, chain-of-thought, prompt chaining) to improve accuracy, determinism, and robustness of LLM systems. - Establish ...

... respond to business-functionality queries, and mentor, coach, and cross-train testing teams. - Drive the use of enterprise AI-assisted testing tools and strong prompt-engineering techniques throughout requirements capture, test planning, test-case creation, and execution. Requirements - Bachelor’s degree in Engineering. - ...

... - Mentor, coach, and cross-train testing resources and promote consistent testing practices. - Manage the use of AI-assisted testing tools and ensure strong prompt-engineering practices across testing teams. - Collaborate with development and stakeholder teams to improve monitoring and observability in lower-lane environments. ...

... and Spring Boot experience- Microservices and REST APIs- SQL / Relational Databases- Kafka or similar messaging technology- LLM application development, RAG, Prompt engineering, Vector databases- Spring AI / LangChain / LangGraph- Docker, Kubernetes, Cloud platform experience, CI/CD and DevOpsGood to Have:- Agentic AI, MCP, ...

... experience with LLM APIs/platforms such as OpenAI, Anthropic, Gemini, or open-source models.- Experience with RAG architectures, Vector databases, Agentic workflows, Prompt engineering, LLM evaluation, Model orchestration, and AI/ML production systems.- Experience with vector databases such as pgvector, Pinecone, Weaviate, or equivalent ...

... standards, human review controls, CI/CD quality gates, team coaching, and measurement of AI-driven productivity and quality. Key Responsibilities - Define AI-first engineering standards, playbooks, prompt/context libraries, and agent rules. - Establish mandatory human review gates and Definition of Done requirements for AI-generated ...

... Lead integration of GenAI solutions with enterprise applications using APIs, microservices, event-driven architectures, and secure data pipelines . - Define prompt engineering strategies, prompt lifecycle management, and context orchestration mechanisms. - Design and implement Responsible AI frameworks covering governance, ...

... engineering teams to deliver high-quality solutions.- Integrate and leverage LLMs, RAG, embeddings, and AI agents into application development workflows.- Apply prompt engineering techniques to improve AI-assisted development and application capabilities.- Troubleshoot application, deployment, and infrastructure issues and ...

... the following minimal requirements :- Bachelor's degree in Data Science, Machine Learning, Statistics, Computer Science, Data Mining, Applied Mathematics, Engineering, or another quantitative or technical discipline.- 5+ years of hands-on experience in Machine Learning, Data Science, AI Engineering, and/or advanced analytics.- ...

Primary Responsibilities :- Implement and fine-tune the AI chatbot (likely LLM-based)- Context engineering- Design and build vehicle forecasting models and algorithms- Create effective prompt and orchestration strategies for AWS Bedrock tool/function calling (Agents, Action Groups, and model invocation)- Optimize model ...

... technologies (e.g. Hadoop Hive HBase) and cloud platforms (e.g. AWS Azure GCP). Experience in building and integrating GenAI solutions using LLMs vector databases and prompt engineering techniques. Familiarity with GenAI frameworks and APIs (e.g. LangChain OpenAI Azure OpenAI Hugging Face). Good problem-solving skills and the ability ...

... and modern application development - Exposure to Large Language Models through coursework, projects, internships, or independent learning - Familiarity with prompt engineering, embeddings, retrieval systems, or AI agents - Strong analytical, communication, collaboration, and problem-solving abilities [{"name": "hybrid_working", ...

... development (Python 6+ yrs) . - Hands-on experience with Agentic AI / autonomous agents , including: - Multi-agent orchestration - Tool usage & reasoning workflows - Prompt engineering and memory management - 2+ years experience with GenAI (LLMs, RAG, embeddings, prompt engineering) - Solid background in data engineering , including: ...