Key Responsibilities Design and build agentic LLM solutions (single- and multi-agent patterns) to solve real business problems across domains (e.g., customer support, document intelligence, knowledge retrieval). Build RAG pipelines end-to-end: data ingestion → chunking/embeddings → vector
Area(s) of responsibility Job Description: Cloud Data Platform Engineer / SRE (Azure | Databricks | Fabric | Unity Catalog) _ Key Responsibilities 1. Cloud Platform Operations • Manage and optimize Azure workloads—ADLS, VNets, Key Vault, ADF, Synapse,
About Us: At apexanalytix, we’re lifelong innovators! Since the date of our founding nearly four decades ago we’ve been consistently growing, profitable, and delivering the best procure-to-pay solutions to the world. We’re the perfect balance of
Design, develop, test, and deploy data integration processes (batch or real-time) using tools such as Microsoft SSIS, Azure Data Factory, Databricks, Matillion, Airflow, Sqoop, etc. Create functional & technical documentation – e.g. ETL architecture documentation, unit
Design, develop, test, and deploy data integration processes (batch or real-time) using tools such as Microsoft SSIS, Azure Data Factory, Databricks, Matillion, Airflow, Sqoop, etc. Create functional & technical documentation – e.g. ETL architecture documentation, unit
Key Responsibilities 1. Solution Architecture & Strategy Define and lead end-to-end architecture for enterprise GenAI platforms and use cases Design scalable agentic systems (single-agent, multi-agent, orchestration frameworks) Establish reference architectures, design patterns, and reusable frameworks Lead
Key Responsibilities 1. Solution Architecture & Technical Leadership Architect enterprise-grade agentic and LLM solutions (single-agent, multi-agent, tool-driven workflows) Define scalable GenAI system design patterns (RAG, orchestration layers, evaluation frameworks) Act as the technical anchor for GenAI
WSP is looking for Candidate who should hold experience minimum of 5 to 10 years in energy modelling, carbon analysis, or building performance simulation. To partner as an AI Engineer (Built Environment / Sustainability) to develop and
Key Responsibilities Design and develop LLM-powered applications using agentic patterns (single/multi-agent) for business use cases Build and optimise end-to-end RAG pipelines (ingestion, embeddings, retrieval, orchestration, response synthesis) Implement prompt engineering and orchestration techniques (prompt chaining, tool/function
Key Responsibilities Design and develop LLM-based applications using single-agent or simple multi-agent patterns for business use cases Build and maintain RAG pipelines: data ingestion → chunking → embeddings → retrieval → response generation Implement prompt engineering
Why UKG: At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers
Why UKG: At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers
Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such
About Our Company Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 20 years. We are part of Ameriprise Financial Inc., a US financial planning
Position Overview:We are seeking a skilled Data Engineer to design and build scalable data platforms that power analytics, reporting, and business-critical insights. You will develop high-performance batch and streaming data pipelines, optimize ETL/ELT workflows, and manage large-scale analytical
We are seeking a talented and driven GenAI Engineer with 3–6 years of experience to join our dynamic team. In this role, you will leverage your analytical skills, machine learning expertise, and Generative AI capabilities to manage
Mott MacDonald is a global engineering, management, and development consultancy committed to delivering impactful work that shapes the future. We are a team of over 20,000 experts working across the world in more than 50 countries.
About Us: At apexanalytix, we’re lifelong innovators! Since the date of our founding nearly four decades ago we’ve been consistently growing, profitable, and delivering the best procure-to-pay solutions to the world. We’re the perfect balance of
Key Responsibilities Design and build RESTful and event-driven backend services in Python and/or Node.js that support multi-agent orchestration, HITL workflows, and exception routing across finance processes. Architect and implement the workflow state management layer — handling
Location: Noida Berger Tower, India Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions