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- ...engineering, model optimization) ○ Significant experience with Generative AI technologies (LLMs, prompt engineering, RAG, fine-tuning, vector databases) ○ Hands-on experience building agentic AI systems and multi-agent architectures ○ Strong programming skills in...
775000 $ per day
...chaining, and autonomous agent design. Excellent analytical, problem-solving, and collaboration skills. Preferred Skills Experience with vector search, memory stores, and tool integration for agents. Familiarity with Microsoft Copilot extensibility and plugin development....Accenture
Taguigmore than 2 months ago- ...and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. • Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. •...
- ...Information Security, Cybersecurity or related technical field of expertise. Strong understanding of vulnerabilities, common attack vectors and has attacker mindset: ability to think about creative threats and attack vectors. Certification a plus but not necessary,...
- ...with other members of the team. What You’ll Do Demonstrate foundational knowledge of cybersecurity concepts, including threat vectors, risk management, and incident response. Monitor and triage alerts using Adlumin SIEM and other SOC tools, with the ability to...
N-able Technologies Ltd.
Taguig1 day ago - ...LLM applications* Integrate, optimize, and evaluate LLMs working with retrieval‐augmented generation (RAG), Agentic AI, embeddings, vector databases and prompt management tools* Lead model selection, fine-tuning, and deployment strategies for financial use cases* Build...
London Stock Exchange Group
Taguig2 days ago - * Architect production LLM solutions using RAG, tools/agents, embeddings, and vector search; select fit-for-purpose models (hosted, open-source, proprietary).* Define prompt orchestration and safety layers (prompt templates, guardrails, red-teaming, policy enforcement)...
London Stock Exchange Group
Taguig1 day ago 775000 $ per day
...Dashboards within Databricks to monitor KPIs, data pipeline health, and operational SLAs. Prepare GenAI-compatible datasets: manage vector embeddings, index with Databricks Vector Search, and use Feature Store with MLflow. Package and deploy pipelines using...Accenture
Taguigmore than 2 months ago775000 $ per day
...backend services, APIs, microservices, data pipelines, and AI model endpoints. You’ve built features powered by LLMs, semantic search, vector stores, embeddings, and RAG using frameworks like Java platforms (Spring Boot, Java EE, Spring Application Framework, Node.js),...Accenture
Taguigmore than 2 months ago- ...of LLMs/multi‑modal FMs in large‑scale systems, fine‑tuning LLMs, deployment and distributed inference of LLMs, RAG, FM evaluation, vector DBs, Agentic workflows, prompt/context engineering, and MLOps. ~ Hands‑on experience with AWS ecosystems (including Bedrock,...
Amazon
Taguig1 day ago - ...independently while enabling team success.* Hands-on experience building AI infrastructure (evaluation pipelines, prompt/version management, vector/embedding stores, model serving) and optimizing / fine‐tuning models for latency, quality, and cost.* Experience with model...
London Stock Exchange Group
Taguig1 day ago 2160000 Php per year
...Al patterns, including LLM integrations, agent-based systems, retrieval-augmented generation (RAG), internal knowledge systems, and vector database strategies where appropriate • Establish governance frameworks that ensure secure, compliant, and responsible Al usage...- ...Assurance: Implement LLM evaluations, automated regression testing, benchmarking, and quality scoring systems* Data Management: Work with vector databases (Pinecone, Qdrant, Weaviate) and develop retrieval pipelines* Observability: Build comprehensive observability...
Asurion
Taguig1 day ago - ...industry network. Maintain close ties with Risk/Fraud leads inside Manila institutions to capture early signals on regulations, fraud vectors, and tech constraints. Map stakeholder dynamics. Understand decision chains within PH banks/fintechs so you can unblock pilots,...
- ...AI patterns, including LLM integrations, agent-based systems, retrieval-augmented generation (RAG), internal knowledge systems, and vector database strategies where appropriate Establish governance frameworks that ensure secure, compliant, and responsible AI usage...
ACCPRO International
Taguiga month ago - ...Prompt chaining (basic level) Basic Python knowledge Familiarity with: Azure OpenAI or similar LLM platforms Vector search concepts ~ Exposure to: AI output evaluation methods Business process automation AI & LLM...
- ...Agentic frameworks and orchestration Workflow coordination across multiple AI services RAG architectures and patterns Vector databases Familiarity with: MCP connectors or contextual integration frameworks Enterprise Integration...
80000 - 120000 Php
...able to scope projects independently from a one-paragraph brief Reliable internet + backup power/connection Nice-to-Haves Vector databases (Pinecone, Supabase pgvector, Weaviate) Google Apps Script, Airtable scripting Experience with agent frameworks (...1 Php
...manage integrations with leading LLM APIs (e.g., OpenAI, Anthropic, Gemini), optimizing performance through fine-tuning, prompt design, vector databases, and tool use. ● Tooling & MLOps (LLMOps): Implement robust MLOps pipelines—CI/CD, monitoring, version control...- ...Familiarity with APIs , webhooks , and RESTful integrations . Understanding of prompt design , LLM architectures , and vector databases (e.g., Pinecone, ChromaDB). Experience with workflow automation platforms (e.g., Make.com, Zapier, n8n). ~ Soft...
- ...travel for client and project engagements. Preferred Qualifications Experience with Generative AI data integration (e.g., vector databases, embeddings). Exposure to multi-country or cross-regional projects. Familiarity with other cloud platforms (Azure,...
- ...and maintaining AI models in production ML frameworks such as TensorFlow, PyTorch, Scikit-learn or similar RAG pipelines with vector stores (e.g., Chroma, Qdrant) Agent frameworks (e.g., LangChain, Google ADK, CrewAI) Cloud AI services e.g. AWS (SageMaker,...
775000 $ per day
...perform trend and behavioral analysis to detect emerging threats is a key requirement. Understanding of attack techniques, threat vectors, and cryptography fundamentals is important. They must work well with internal teams to coordinate responses and improve...Accenture
Quezon City14 days ago70000 - 95000 Php
...familiarity with Node.js, HTML/JS/CSS, React/Next.js (nice to have). OpenAI, LangChain, LangGraph, LangSmith. Flask / FastAPI. Vector DBs (Pinecone, Milvus, etc.). Cloud services (AWS, Azure Service Bus essential). Skills: LLM agent orchestration. RAG /...Offshorly
Quezon Citymore than 2 months ago775000 $ per day
...JSON, YAML, XML, XSLT, REST APIs , Kubernetes , Docker Databases/Search Engine: Elasticsearch/OpenSearch, Azure AI Search, Vector DBs and Graph DBs Security Protocols/Standards: Kerberos, LDAP, OAuth, SSH Cloud Environments: AWS, GCP, Azure LLMs:...Accenture
Quezon Citymore than 2 months ago- ...Augmented Generation (RAG) pipelines that pull knowledge from internal SOPs (stored in BookStack) and client data, embedding them into vector databases like Chroma or Pinecone for fast and relevant retrieval Automate critical business actions through smart, multi-step...
1600 - 1920 $
...Implement LLM-based applications (GPT, Claude, open-source models) according to concept specifications. Build RAG systems and vector databases following architecture guidelines. Prepare, clean, and structure data for AI applications. Deploy and configure AI...- ..., networking devices. • Experience with Pen Tests and Vulnerability Scans. • Understanding of malware, network threats, attack vectors, incident response. • Information security issues in an open, highly distributed networked environment. • Enterprise Intrusion...
- ...applications, including implementing Retrieval-Augmented Generation (RAG) approaches. Design and optimize data pipelines leveraging vector databases (e.g., Weaviate) to enable semantic search and advanced AI functionality. Qualifications Education...
- ...Tooling: GitHub Actions, Docker, Terraform (awareness), ADO/Jira, Datadog, Sentry AI (nice‑to‑have): RAG patterns, embeddings, vector DBs (Pinecone/Qdrant), LLM API integration Qualifications Must‑Have (baseline for all levels) Proficiency in TypeScript ,...
