... enterprise-grade Generative AI and LLM-based applications.- Build and implement RAG and GraphRAG solutions.- Develop Agentic AI and Multi-Agent systems.- Implement prompt engineering, prompt optimization, tool calling, memory management, and agent workflows.- Work with LLMs such as OpenAI GPT, Claude, Gemini, Llama, and Mistral.- ...
... Engineer Develop and enhance data digitization and AI augmented metadata extraction pipelines, model evaluation frameworks, and integration components Hands-on experience with Python, machine learning, NLP, prompt engineering, and AI application development is required Tell us about your experiences, education, and ambitions.
... https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities:- Design and develop enterprise-grade AI, Generative AI, and Agentic AI solutions.- Build LLM applications using RAG, prompt and context engineering, embeddings, semantic search, evaluations, and guardrails.- Develop AI orchestration workflows using frameworks such as LangChain, LangGraph, ...
... AI platforms, AI agents, and AI-powered products. Drive adoption of GenAI across software engineering, operations, and customer-facing products. Platform Engineering Build scalable AI platforms supporting RAG, Agentic Workflows, MCP Integrations, Multi-model Orchestration, Model Evaluation Frameworks, Prompt Management, ...
... (Azure/AWS/GCP). Collaborate with cross‑functional teams to define use cases and convert them into production‑ready GenAI solutions. Implement hallucination reduction, prompt‑engineering strategies, and model evaluation methods. Integrate LLMs with enterprise applications, APIs, and automation workflows. Work with vector databases ...
... governance https://jobeax.com/link/NKlt3YnZFxTxA2qx Skills & Experience :- Strong experience in AI Solution Architecture, AI System Design, and enterprise AI engineering.- Deep hands-on expertise in LLMs, Generative AI, RAG, embeddings, prompt engineering, and AI agents.- Strong proficiency in Python and SQL.- Experience designing ...
... Python with experience in APIs . - Hands-on experience with AI agent frameworks such as LangChain, LangGraph , or similar. - Experience in LLM integration and prompt engineering. - Experience working with vector databases such as Qdrant, Chroma . - Experience with cloud platforms such as AWS, Azure, or GCP. - Strong experience ...
... marketing strategy, SEO, Google Analytics, Meta Ads, Google Ads, content strategy, copywriting, storytelling, marketing psychology, funnel design, analytics, AI Prompt engineering. Salary Probation: Duration: Salary during probation: After probation: Annual CTC: ₹ 2,50,000 - 3,00,000 /year Number of openings 2 About Advanced ...
... programming. - Strong experience working with Pandas or comparable dataframe-based data-processing frameworks . - Understanding of LLM application development, prompt engineering, inference workflows, and model optimisation. - Practical knowledge of Explainable AI (XAI) and model interpretability techniques. - Strong understanding ...
... data enrichment pipelines. 2. Work with APIs for LLMs (OpenAI, Anthropic, open-source models, etc.) and integrate them into backend systems. 3. Contribute to prompt engineering, evaluation experiments, and iterative model improvements. 4. Support implementation of vector databases, retrieval pipelines, and basic agent workflows. ...
... Experience with monitoring tools (Zipy, Fullstory) and BI/analytics tools (Mixpanel, Metabase). ~ Customer Relationship and Soft Skills: - Familiarity with prompt engineering (helpful for L2 support on AI-powered products). - Understanding of building or configuring AI agents, including workflows, task automation, and ...
... integration decisions across multiple teams or systems.- Strong working knowledge of LLM integration patterns including RAG architectures, agentic frameworks, prompt engineering best practices, and output evaluation strategies with ability to establish team-wide standards.- Experience contributing to or defining AI evaluation ...
... building & deploying solutions on the public cloud platforms AWS/GCP/Azure etc.; multi-cloud capability a plus.- Hands-on experience with large language models, prompt engineering, fine-tuning, retrieval-augmented generation (RAG), agentic systems, and considerations for production LLM deployments.- Knowledge of model security, ...
... identity, compliance, and governance in AI deployments. - Experience in agentic solution design, build and deployment, Deep understanding of LLMs, NLP, GenAI, RAG, Prompt engineering & model tuning - Experience in Technology Managed Service pre-sales & solutioning as Solution Architect To qualify for the role, you must have - ...