1,991 prompt engineering jobs in India.

... - 5+ years in Conversational AI / related - 1+ years experience in applied research conversational AI / AI Agents (e.g., multi-agent architecture patterns, prompt engineering and prompt design, context engineering and harness design, REACT, REWOO, Chain of Thought design patterns, memory architectures, and so on) - Familiarity ...

... into language customer security leaders can act on, and help them mature their API and AI security posture. What You Bring Required - 4–6 years in security engineering, detection engineering, threat hunting, penetration testing, incident response, or a closely related discipline. - A deep, current understanding of the security ...

... topics, assessing their ability to interpret context, grammar, idioms, and regional variations accurately. Your findings will help improve model reasoning, prompt engineering, and evaluation methods while supporting more natural and culturally relevant AI interactions. This project is ideal for a language specialist who ...

... of Anysphere in the field, helping customers evaluate Cursor, guiding them through proofs of concept, and ensuring they see the full value of AI in their engineering workflows. You’ll work hand-in-hand with Sales, Product, and Engineering to scope solutions, demonstrate capabilities, and act as a trusted advisor to technical ...

... a trusted second voice in design and architecture discussions. Beyond finding and fixing vulnerabilities, you drive security initiatives to closure across engineering teams, raise the bar on how we build securely, and mentor earlier-career engineers on the team. You will combine deep hands-on offensive and defensive skills ...

... (PostgreSQL, Oracle, MySQL) • Hands-on with automation, monitoring, and infrastructure management AI & Automation Expertise • Proven use of Generative AI tools in engineering workflows • Experience with LLM-based solutions and API integrations • Understanding of: • Prompt engineering and output validation • Agent-based architectures ...

... breakers, and rollback strategies; instrument continuous evaluations for usefulness, correctness, and risk. • Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under ...

... proactively identify opportunities to apply them to our products and services Qualifications - 8-10 years of practical Java experience - 2 years of experience with prompt engineering and prompt/agent scripting - 2 years of hands-on experience integrating third-party AI/ML services and platform APIs (e.g., OpenAI, Anthropic, Salesforce ...

... (DoD), Confirmation Testing, Regression Testing, and Change Impact Testing Practical experience using LLMs like GitHub Copilot, Claude, and Cursor Solid grasp of Prompt Engineering, Context Window Management, Tokenization, and Model Selection Strategies Background in creating and applying embeddings for semantic search, including ...

... Confirmation Testing, Regression Testing, and Change Impact Testing Practical experience with LLMs including GitHub Copilot, Claude, and Cursor Knowledge of Prompt Engineering, Context Window Management, Tokenization, and Model Selection Strategies Experience creating and applying embeddings for semantic search use cases, ...

... 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 ...

... The AI toolchain is not fixed. You will help select it — and then live with the consequences, which is the correct incentive. What this role is not - Not a prompt engineering role. Prompting is one component of a system that also has retrieval, orchestration, evaluation, infrastructure and an operating cost. - Not a research ...

... 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. ...

... modernization.- Relevant AI/ML certifications from Google, Microsoft Azure, NVIDIA or equivalent recognized providers.- Exposure to LLM orchestration, AI agents, prompt engineering and cloud-based GenAI solutions. Key Technical SkillsPython, FastAPI, Django, Full Stack Development, Artificial Intelligence, Machine Learning, ...

... 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 ...

... services in environments managed with Kubernetes, Nginx, and Apache - Contribute to AI-enabled features including retrieval-augmented generation workflows, prompt engineering, and automation that pulls from internal knowledge repositories - Support CI/CD pipelines and help maintain production systems through monitoring, ...

... (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 ...