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Location Designation: Hybrid - 3 days per week Role Overview As a Senior Associate - Full-Stack AI Engineer, you will independently design and deliver platform capabilities and intelligent applications that support New…
Temasek is a global investment company headquartered in Singapore, with a net portfolio value of S$518 billion (US$401b, €350b, £304b, RMB2.77t) as at 31 March 2026. Our Purpose “ So Every Generation Prospers ” guides…
Air Arabia is hiring a Senior AI Engineer (Colombo) to design, build, and operate production-grade AI agents, RAG pipelines, and multi-channel conversational automation (chat, WhatsApp, email, voice) integrated with airline reservation and operational backends. Core stack: Python, LLM/SLM APIs and agent frameworks, Docker/Kubernetes, and cloud CI/CD.
Singtel (Nxer data centre business) is hiring an AI Solutions Engineer to design, build and deploy enterprise AI solutions using LLMs, RAG and AI agents that automate knowledge-intensive workflows. Day-to-day work spans Python, LLM frameworks (LangChain, LangGraph, LlamaIndex), vector databases, prompt engineering, API/system integration and model evaluation and governance.
Senior backend engineer building Halliburton's platform that merges real-time sensor physics, knowledge graphs, and autonomous AI agents. Day to day: low-latency FastAPI services, streaming sensor pipelines, and GenAI/knowledge-graph work using Python, Kafka, Spark/Flink, TimescaleDB, LangGraph, and Neo4j.
Responsive (formerly RFPIO) is hiring a Senior Software Engineer in Coimbatore, India to architect and maintain scalable distributed systems for its AI-powered RFP/response-management SaaS platform, mentor junior engineers, and tune performance. Core stack includes Java/Spring, React, MongoDB, Elasticsearch, and cloud platforms (AWS/GCP/Azure).
Software Engineer building Responsive's SaaS Strategic Response Management platform, focusing on distributed systems design, performance tuning, and low-latency search. Core stack is server-side Java (Spring), with React, MongoDB, cloud platforms (GCP/Azure/AWS), and search/AI technologies like ElasticSearch and NLP.
Halliburton is hiring a remote (Brazil) Full Stack AI Developer to build agentic AI systems on a platform combining sensor data, knowledge graphs, and LLMs. Day to day: build LangGraph agents and Graph-RAG pipelines, low-latency Python/FastAPI services, and React dashboards, using Kafka, Neo4j, Airflow, and Kubernetes.
Be a Part of Something BIG! We create great technology that can change the future, and we're looking for people to be part of our digital and 5G journey. If you like to work in a dynamic, leading communications…
Capgemini is hiring an AI Data Scientist to build statistical/ML models, KPI engineering, anomaly detection and graph analytics for autonomous telecom network operations, working with telemetry, alarms, topology and OSS data in Python and BigQuery. It is a permanent hybrid role (London, with occasional travel to the client site in Newbury) requiring UK security clearance.
Design, build, and optimize scalable cloud-based batch and streaming data pipelines on Google Cloud Platform using Python, BigQuery, Dataflow, Pub/Sub, and Cloud Composer (Airflow), supporting analytics, AI/ML, and enterprise reporting. Must be authorized to work in the US without sponsorship.
NetApp is hiring an AI Engineer in Bangalore to design, build, and deploy Agentic AI applications using LLMs, RAG pipelines, and orchestration frameworks like LangGraph and LangChain. Day-to-day work centers on Python development, vector search, prompt engineering, and integrating emerging GenAI technologies.
PG&E is hiring an expert-level AI architect to lead its enterprise Agentic AI ecosystem: defining architecture standards and reference patterns for multi-agent systems, MCP integrations, AI gateways, and RAG/knowledge platforms, while owning AI governance, security, and FinOps. Core stack spans AWS and Azure cloud AI services.
Senior data/software engineer at YASH Technologies (IT services integrator) in Pune, building scalable data pipelines and Lakehouse architectures on AWS and Databricks (Delta Lake, Unity Catalog, PySpark) and delivering GenAI solutions such as RAG chatbots and AI agents using Bedrock, SageMaker, and LLM tooling.
An intermediate software engineer at Softchoice (a WWT company) who designs, builds, and productionizes AI applications for clients — LLM/RAG solutions, agentic workflows, backend services, and cloud-native integrations — owning defined workstreams from design through deployment and operational support.
A Navi Mumbai-based engineer who designs, builds, and deploys Generative AI and LLM applications — RAG pipelines with LangChain/LlamaIndex, vector databases, and Python/SQL data and ETL pipelines — then operationalizes them on AWS, Azure, or GCP using MLOps/LLMOps practices.
Designs, builds, and operates LLM-powered multi-agent systems for a digital banking client: agent orchestration with Google ADK/LangGraph, RAG pipelines, prompt/tooling engineering, evaluation suites, and production CI/CD. Core stack is Python, LLM/agentic frameworks, vector databases, and a major cloud platform.
A principal-level architect who defines PG&E's enterprise AI platform standards and roadmap — spanning agentic AI patterns, AI gateways, MCP integrations, and RAG/knowledge platforms — while partnering with security teams on governance and advising leadership. Core tech: AWS, Azure, generative/agentic AI, MCP, vector databases, knowledge graphs.
Senior architecture role at Capgemini (Abingdon, UK) designing and governing enterprise-scale GCP data & AI platforms for telecom autonomous networks. Day to day covers BigQuery, Dataflow, Pub/Sub, BigLake, Vertex AI, plus knowledge graphs, digital twins, and GenAI/RAG/Agentic AI reference architectures.
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