12 Llm Engineering Jobs

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Director- Agentic AI Architect & Lead AI Designer Director- Agentic AI Architect & Lead AI Designer Enterprise AI Product Engineering Overview We are building next-generation...

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join...

As a Senior AI/ML Specialist in Sustainability, Health & Safety at ERM, you will lead the development of AI accelerators, intelligent agents, and machine learning models to drive client impact in sustainability, health, and safety domains. You will have the opportunity to apply cutting-edge technologies such as LLMs, BERT, and Microsoft Azure AI to design enterprise-grade solutions. ERM is committed to delivering sustainability-focused digital solutions and values technical excellence, scalability, and cross-functional teamwork. **Key Responsibilities:** - Lead the design, development, and deployment of AI/ML solutions, accelerators, and frameworks for sustainability, ESG, and workplace safe...

Role Overview: You are an experienced full-stack engineer responsible for owning complex solution delivery end-to-end. Your expertise in the Microsoft stack, modern cloud, AI, and architectural skills will be utilized to build scalable, customer-centric solutions. This hands-on position requires you to write production code and drive best practices in collaboration with product managers, designers, and clients. Key Responsibilities: - Deliver end-to-end production-grade code across the front end (React/TypeScript, Blazor, WebForms) through the backend (C#, .NET Core, Web API, Entity Framework) and database including schema design, SQL/LINQ queries, stored procs, indexing, and tuning on SQL S...

An SF based startup is looking to hire a Senior AI Engineer. The role is fully remote. Here's What The Day-to-day Responsibilities Will Look Like - Design and implement conversational AI agents using LLMs Build RAG pipelines to process e-commerce data Optimize prompt engineering for accuracy and cost efficiency Create data ingestion pipelines for various formats (CSV, Excel, APIs) Implement opportunity detection algorithms Ensure system scalability for processing 10,000+ SKUs Collaborate on architecture decisions Here are some key traits that we are looking for - LLM Engineering Experience Previous experience building AI agents Prompt engineering and optimization RAG (Retrieval Augmented Gen...

Position: Senior AI/ML Specialist Sustainability, Health & Safety ERM is Senior AI/ML Specialist to lead the development of AI accelerators, intelligent agents, and machine learning models for sustainability , health, and safety domains . The role involves guiding teams in applying LLMs, BERT, and Microsoft Azure AI technologies to design enterprise-grade solutions and drive client impact. At ERM, we combine deep domain expertise with a strong track record in delivering sustainability-focused digital solutions. Our Digital Services span the full information management lifecycle - from portfolio assessment, strategy, and technology evaluation to the design, testing, and implementation of ente...

Position Overview We are seeking a highly skilled and forward-thinking AI Engineer specialized in Large Language Models (LLMs) to design, develop, and deploy innovative AI-powered applications and intelligent agents . The ideal candidate will possess deep expertise in LLM engineering, including advanced prompt engineering strategies, fine-tuning, evaluation methodologies, and the development of systems using frameworks like Lang chain/Lang Graph. You will have a strong background in software engineering and a passion for pushing the boundaries of what's possible with generative AI, bringing solutions from ideation and research through to robust and scalable production deployment. Experience:...

About The Opportunity : We are a fast-growing enterprise AI & data science consultancy serving global clients across finance, healthcare, and enterprise software. The team builds production-grade LLM-driven productsRAG systems, intelligent assistants, and custom inference pipelinesthat deliver measurable business outcomes. Role & Responsibilities : - Design, fine-tune and productionize large language models (instruction tuning, LoRA/PEFT) using PyTorch and Hugging Face tooling for real-world applications. - Architect and implement RAG pipelines : embeddings generation, chunking strategies, vector search integration (FAISS/Pinecone/Milvus) and relevance tuning for high-quality retrieval. - Bu...

We're hiring an Senior AI Engineer to build production-grade components for an AI-first, data-centric platform. You will implement agentic capabilities (intent, planner, router/composer), integrate knowledge-graph reasoning alongside a strong RAG baseline, and instrument robust evaluation and observability. The ideal candidate writes clean, reliable code, understands LLM systems and data retrieval trade-offs, and can optimize for latency, quality, and cost. Key Responsibilities Agent Implementation: Build and harden Intent , Planner , and Router/Composer agents with typed JSON I/O, retries/timeouts, and idempotency; emit call-graph traces and correlation IDs. Knowledge-Graph Reasoning: Gener...

As an LLM Engineer (Agentic AI) at Fin 100X.AI, you will play a crucial role in designing, building, and deploying agentic AI systems specifically tailored for FinTech use cases. Your primary focus will be on creating and refining LLM pipelines for BFSI applications, implementing multi-agent orchestration logic, ensuring explainability, audit trails, and compliance guardrails, as well as collaborating with backend and frontend teams for end-to-end project delivery. **Key Responsibilities:** - Build and fine-tune LLM pipelines (RAG, finetuning, prompt optimization) for BFSI use-cases. - Develop multi-agent orchestration logic using MCP, CrewAI, LangGraph, and AutoGen. - Implement explainabili...

You have a minimum of 2+ years of experience and are expected to work as per Company Standards. As an experienced full-stack engineer, you will be responsible for owning complex solution delivery end-to-end. Your expertise in the Microsoft stack - including .NET, C#, SQL Server, Blazor/React, and Azure DevOps - along with modern cloud, AI, and architectural skills will be crucial in building scalable and customer-centric solutions. This hands-on position requires you to write production code and implement best practices in collaboration with product managers, designers, and clients. Your key responsibilities will include: - Solution design & development: Delivering end-to-end production-grad...

Position Overview : We are seeking an experienced NLP & LLM Specialist to join our team. The ideal candidate will have deep expertise in working with transformer-based models, including GPT, BERT, T5, RoBERTa, and similar models. This role requires experience in fine-tuning these pre-trained models on domain-specific tasks, as well as crafting and optimizing prompts for natural language processing tasks such as text generation, summarization, question answering, classification, and translation. The candidate should be proficient in Python and familiar with NLP libraries like Hugging Face, SpaCy, and NLTK, with a solid understanding of model evaluation metrics. Roles and Responsibilities : - ...