1,980 prompt engineering jobs in India.

... 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 ...

... Azure OpenAI, or similar) into MERN applications. - Build AI features such as chatbots, intelligent automation, document processing, and RAG pipelines. - Apply prompt engineering, embeddings, and vector databases to real product use cases. - Ensure AI implementations follow security, data privacy, and responsible AI practices. ...

... OpenAI, Claude, Mistral) into existing services for query understanding, summarization, and decision support. - Manage end-to-end GenAI workflows, including prompt engineering, fine-tuning, vector embeddings, and retrieval-augmented generation (RAG). - Working closely with cross-functional teams on improving the availability ...

... Kubernetes.3. API platforms and integration services.- AI & Agentic AI (Mandatory):1. Agentic AI frameworks and orchestration patterns.2. LLMs, RAG architectures, prompt engineering.3. Autonomous agents and tool-using AI systems.4. AI governance, evaluation, and monitoring.5. AI developer tools (Copilot, LLM-powered SDLC).What ...

... experience for building tools and automation GenAI/LLM integration — experience integrating GenAI/LLM capabilities into applications, workflows, or tooling Prompt engineering — hands-on experience designing, testing, and optimizing prompts for LLM-based tools AWS Bedrock — hands-on experience with AWS Bedrock for building ...

... Published work in conferences/journals or experience contributing to open-source projects.- Familiarity with vector databases (Pinecone, FAISS), LangChain, or prompt engineering.- Experience in managing research interns or small AI/ML https://jobeax.com/link/IDmYAYPvcIk42AHX : - Master's or PhD in Computer Science, Machine ...

... (logistic regression, Random Forest, XGBoost)- Help build LLM-powered features such as schema mapping, natural language querying and insight generation, using prompt engineering, embeddings and RAG pipelines through LLM APIs- Write SQL for feature engineering on analytical databases such as Snowflake or BigQuery- Wrap models ...

... Experience with APIs, source control, testing, debugging, technical documentation, and core agentic AI capabilities. - Familiarity with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), agent frameworks, or AI orchestration concepts. - Understanding of secure development practices, code review, ...

... Data Science & ML: Basic understanding of exploratory data analysis (EDA), modeling workflows, and model deployment. - Gen AI & Agentic AI: Knowledge of LLMs, prompt engineering, token economics, RAG systems, and GPU cost optimization. - Ability to translate technical concepts into business outcomes and validate feasibility ...

... structured outputs, memory, and the failure modes that only show up at scale. You have used agentic frameworks and both open and closed source models. - You bring engineering discipline to AI. You think in versions, tests, regressions and reproducibility. You are uncomfortable when a system's behaviour depends on a prompt nobody ...

... GPU providers such as AWS, GCP, Azure or RunPod. - Familiarity with LLM application observability tools, such as Langfuse, LangSmith and Arize Phoenix, and prompt/version management. - Awareness of AI security, including OWASP Top 10 for LLM Applications, prompt-injection and data-exfiltration risks, output filtering and ...

... 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, ...