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- ...including Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, and Factor Analysis to derive actionable insights. Develop and implement predictive...
- ...Developing integrations with Slack, HubSpot, Salesforce, and other GTM tools Shipping AI-powered features using LLMs, embeddings, and vector search Creating onboarding flows, dashboards, and seller-facing workflows Maintaining reliable APIs, webhooks, and database...
- ...ETL/data pipelines Develop APIs using FastAPI or Django Integrate LLMs (e.g., OpenAI or similar) into applications Create vector search and RAG-based solutions Deploy and manage containerized applications in the cloud Implement data validation, monitoring...
- .... RAG & Search: Build semantic and enterprise search systems powered by RAG (Retrieval-Augmented Generation) pipelines and vector databases . Orchestration: Architect and orchestrate complex LLM workflows using LangChain and LangGraph . Backend Engineering...
- ...hiring an AI Developer to help us build and scale production-grade AI agents . This role focuses on agentic systems that use RAG, vector databases, and structured tool use to deliver reliable outcomes. You’ll work end-to-end—from architecture to deployment—on AI...
- ...behalf of their clients which are not limited to the following requirements Minor styling and product photography Sourcing of vector, stock photo and font assets. Post-processing of client given and shot assets. CREATIVE THINKING Provide inputs...
- ...for enterprise reuse across teams. Integrate LLMs (e.g. ChatGPT Claude) with Azure services (Azure OpenAI Azure AI Search/Vector Functions Logic Apps) and Microsoft 365/Copilot Studio. Use n8n (and/or Power Automate) for orchestration eventing and...
- ...foundational internet and cloud technologies (e.g., AWS, Azure, GCP, etc.) Familiarity with AI concepts, such as LLMs, embeddings, vector databases, prompt engineering, etc. Strong familiarity with Authentication concepts and techniques (e.g., SAML, OAuth, etc.)...
- ...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...
- ...client-provided or internally produced assets. Sourcing, post-processing, or editing of client-provided or internally produced vector, stock photo, and font assets. Conversion of digital materials to video formats with minimal animation. Optimization and...
- ...Technologies: 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:...
- ...model performance, resource utilization, and SLA compliance. Actively research and recommend emerging tools in AI infrastructure, vector databases, and model serving. Document and enforce processes for model lifecycle management, from training to retirement....
- ...Design RESTful APIs and microservices for seamless integration. Implement Retrieval-Augmented Generation (RAG) pipelines and manage vector databases. Work in an Agile (Scrum) development environment. Refactor and optimize code, create and maintain documentation....Remote job
- ...you'll do : Implement AI applications with large language models & APIs; Build enterprise knowledge bases with embeddings & vector retrieval; Work with vector databases like Milvus, Qdrant, or FAISS; Develop scripts, DAGs, and plugins to power AI pipelines...
- ...LlamaIndex) and AI agents Experience implementing RAG (Retrieval Augmented Generation) solutions Experience in working with Vector databases (Pinecone Weaviate or ChromaDB) Experience building and deploying ML models using PyTorch or TensorFlow Experience with...
- ...PostgreSQL MySQL) NoSQL (MongoDB Cassandra DynamoDB) ~ MLOps: MLflow Kubeflow Model versioning A/B testing frameworks ~ Experience with vector databases and embeddings (Pinecone Weaviate Chroma) ~ Knowledge of LangChain LlamaIndex or similar LLM frameworks ~ Experience...
- ...automation or content generation at scale AI sales agents / outbound automation CRM automation (Zoho, HubSpot, GoHighLevel) Vector databases / RAG systems Basic scripting (JS or Python) Experience in finance, property, or lead-gen businesses...
- ...js Nice-to-Haves Python: Highly valued for AI-related tasks and data processing Databases: PostgreSQL, SQLite, MongoDB, or Vector DBs (Pinecone, etc.) Platforms: Understanding of GoHighLevel (GHL) Industry Context: Background working with professional...
- ...applications. Engineering end-to-end RAG pipelines and multi-agent workflows using LangChain AutoGen Copilot MCP. Integrating vector DBs (PostreSQL Pinecone Weaviate Chroma FAISS Redis) and graph DBs (Neo4j Postgres/pgvector) for semantic retrieval and contextual...
- ...Governance Own the reference data architecture across ADLS Gen2, Synapse/Databricks, Azure SQL/SQL Server, Cosmos DB (including vector), Azure AI Search, Key Vault, and Purview. Embed security and compliance by default: encryption, secret management, RBAC/ABAC,...Remote job
- ...accuracy, implementing corrective workflows. Develop, enhance, and maintain Retrieval-Augmented Generation (RAG) pipelines and vector databases. Support integration of AI models into production with scalable APIs and workflows. Collaborate with Data Scientists...Remote job
- ...inferencing and model lifecycle management. Supporting and collaborate on the integration of large language models (LLMs) embeddings vector databases and RAG techniques where applicable. Monitoring deployed models for drift performance degradation and data quality...
- ...Skills & Experience Proficiency in Adobe Photoshop for image editing and manipulation. Proficiency in Adobe Illustrator for vector graphics and illustration. A strong eye for design including typography color theory and layout principles. Proven...
- ...lineage of curated enterprise data products. Drive innovation by identifying prototyping and scaling emerging technologies such as vector databases and Agentic AI to enhance efficiency and maturity. Support enterprise initiatives by contributing to strategic...
- ...Unstructured: SEC filings earnings call transcripts investor presentations Implement LLM workflows: Embeddings OpenAI Vector search via pgvector RAG pipelines prompt construction output generation Validation steps to catch inaccuracies (dates values...
- ...outcomes. Leverage industry close ties with Risk/Fraud leads inside Manila institutions to capture early signals on regulations fraud vectors and tech constraints. Map stakeholder decision chains within PH banks/fintechs so you can unblock pilots secure test data and...
- ...Semantic Systems Develop advanced search algorithms combining lexical and semantic methodologies Implement RRF techniques and vector-based semantic search using modern embedding techniques Design scalable search architectures for complex query processing...
- ...This enables them to develop effective mitigation strategies. Hypothesis Driven: Utilizing their expertise and knowledge of attack vectors, they formulate hypotheses about potential threats and then systematically gather and analyze evidence to confirm or refute those...
- ...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...
- ...not limited to print, social media, e-commerce, digital, html file preparation and/or video. Manipulate photography and create vector graphics. Meet project deadlines and requirements. Utilize project management tools and assist with administrative tasks to support...