1,982 prompt engineering jobs in India.

... including: LLM integration (OpenAI, Anthropic, Claude, Gemini, Mistral, Cohere, etc.) - LangChain, LlamaIndex, LangGraph, or similar orchestration frameworks - Prompt engineering and prompt optimization - AI evaluation and observability - AI agents and workflow automation Additional Preferred Skills - Experience building scalable, ...

... is unrealistic or two teams are building conflicting things, and resolve it early What we are looking for - 4–6 years across technical program management, engineering, solutions engineering or implementation, with at least 2 years owning cross-team delivery - A track record of shipping software products to enterprise B2B ...

... debugging and the investigation of application, infrastructure, and AI-security incidents. What we’re looking for - 2–3 years of hands-on experience across AI engineering, backend/platform engineering, application security, infrastructure security, DevSecOps, or a related engineering role. - Experience building, operating, ...

... project success through effective collaboration and meeting deadlines using agile delivery model - Stay current with the latest advancements in AI/ML, LLMs, prompt engineering, RAG, agents, and related technologies, and evangelize best practices across the organization Desired Experience and Skills - Hands-on experience ...

... collaboration, and communication skills. Experience working in Agile/Scrum or pod-based delivery environments. Generative AI & LLMs: OpenAI / Azure OpenAI APIs Prompt Engineering RAG (Retrieval Augmented Generation) LangChain / LangGraph AI Agents Vector Databases (FAISS, ChromaDB, Pinecone anyone they can learn and come) ...

... to automate business workflows. Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases such as Pinecone or Milvus. Create prompt engineering frameworks and context-management strategies to improve LLM response quality. Develop end-to-end AI solutions covering architecture, implementation, ...

... code analysis and quality gate implementation Hands-on experience with Large Language Models like GitHub Copilot, Claude, and Cursor Solid understanding of prompt engineering, context window management, and tokenization Working knowledge of model selection methods, embeddings, and vector databases for semantic search use ...

... capabilities, or other conversational AI / generative AI platforms.- Experience designing automation and orchestration using Salesforce Flow and Apex.- Understanding of prompt engineering, AI grounding, retrieval-augmented generation (RAG), and AI guardrails.- Experience integrating Salesforce with external REST/SOAP APIs and middleware ...

... CANoe, CANalyzer, or NeoVI Fire. - Knowledge of fault diagnostics, retry logic, Agile, CMM, SPICE, ISO 26262, and TS 16949. - Experience applying AI/ML through prompt engineering to support software-development automation, process improvement, code optimization, debugging, and data-driven development. - Strong communication, ...

... https://jobeax.com/link/MO8tEnpKT0XlGgKd Skills:- Appian, Pega, ServiceNow.- Celonis, SAP Signavio, UiPath Process Mining.- AI Agents, AIOps, Knowledge Graphs, Prompt Engineering.- Experience in Managed Services, Global Delivery, and US/UK market https://jobeax.com/link/EWtFSF5jOzQXIiL4 Certifications:- Azure AI Engineer / ...

... https://jobeax.com/link/ud33NOYNqJVDfqMi Testing :- Exposure to testing AI/LLM-based products is strongly preferred, including challenges such as hallucinations, non-deterministic outputs, prompt/model changes and incorrect or unsupported responses.- Understanding of RAG / retrieval-based systems and the ability to distinguish retrieval failures from ...

... security-first culture across product engineering teams. Required Experience - Bachelor's or Master's degree in Computer Science, Cybersecurity, Software Engineering, or related field. - 5-8 years of experience in Application Security, Product Security, Penetration Testing, or Secure Software Engineering. - Strong understanding ...

... servers, AI tools, models, AI gateways, and AI development environments. - Research Agentic AI Attack Surfaces: Identify and analyze vulnerabilities involving prompt injection, indirect prompt injection, tool poisoning, excessive agency, insecure tool execution, privilege escalation, credential exposure, data exfiltration, ...

... scenarios and theoretical technical questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A bachelor’s or master’s degree in a STEM discipline is ideal; published research, engineering design experience, data analysis ...

... have worked with frameworks such as Pipecat and Livekit.- ML Foundations: Strong background in Machine Learning (ML), Natural Language Processing (NLP), and Prompt Engineering.- Startup Experience: Proven track record of building things from 0 to 1 or 1 to 10 in early or growth-stage startups.- Mindset: Strong intrinsic ...

... static code analysis and quality gate setup Practical exposure to Large Language Models including GitHub Copilot, Claude, and Cursor Clear understanding of prompt engineering, context window management, and tokenization Familiarity with model selection techniques, embeddings, and vector databases for semantic search use ...

... OpenAI APIs, AWS Bedrock, Vertex AI, LangChain, Semantic Kernel, and MLOps. - Strong competency in developing solutions using LLMs, RAG Architectures, AI Agents, Prompt Engineering, Embeddings, and Vector Databases. - Experience with containerization and orchestration platforms including Docker, Kubernetes, and OpenShift. - ...

... Platform & Enablement - Lead development of shared AI engineering capabilities and reusable services. - Standardize frameworks for LLM integration, prompt engineering, agent orchestration, evaluation, observability, and governance. - Establish enablement programs, training, communities of practice, and engineering guidance. ...

... entity authority, citation readiness, AI retrieval signals. - AI Automation & Efficiency: LLM-based SEO workflows, Python pipelines, AI-assisted operations, prompt engineering for search tasks. - Data & Analytics: SEO reporting at scale, automation, Python/SQL-driven insights. - Team Leadership: mentoring, process-building, ...

... environments (Docker, Kubernetes).- Conduct performance, load, and scalability testing for high-traffic services using k6 or similar tools.- Collaborate closely with engineering, product, LeadGen, Payments, and design teams to embed quality early in the lifecycle.- Analyze failures across distributed systems using observability platforms ...