We are looking for an experienced AI Architect / Senior LLM Engineer to design and build an enterprise-grade AI platform for the healthcare industry. You will lead the architecture and implementation of intelligent AI solutions that improve clinical operations, automate administrative workflows, and enable healthcare professionals to access trusted medical knowledge through advanced AI technologies. The ideal candidate has hands-on experience building production-ready Agentic AI systems, Multi-Agent architectures, RAG pipelines, and LLMOps using modern AI frameworks and cloud platforms. Responsibilities Design and develop scalable Agentic AI solutions for healthcare applications. Build Multi-Agent Systems using LangGraph, CrewAI, or AutoGen. Develop enterprise Retrieval-Augmented Generation (RAG) pipelines for medical knowledge retrieval. Create AI agents for clinical knowledge assistance, document intelligence, workflow automation, and care coordination. Build and integrate MCP servers and custom AI tools with internal healthcare systems. Optimize prompt engineering, retrieval strategies, and response quality for high accuracy. Implement AI guardrails, evaluation pipelines, monitoring, and observability for production deployments. Deploy secure, scalable AI infrastructure on AWS using Infrastructure as Code and CI/CD best practices. Collaborate with engineering, product, and healthcare stakeholders to deliver reliable AI solutions. Required Skills 5+ years of experience in AI/ML or Generative AI development. Strong expertise in Python and backend API development. Experience with LangGraph, CrewAI, AutoGen, or similar multi-agent frameworks. Hands-on experience with AWS Bedrock, Azure OpenAI, or Vertex AI. Strong understanding of RAG architectures, vector databases, embeddings, and semantic search. Experience with Pinecone, Weaviate, pgvector, or similar vector databases. Knowledge of LLMOps, evaluation frameworks, prompt engineering, and AI observability tools. Experience with Docker, Terraform, CI/CD, and cloud-native deployments. Familiarity with healthcare compliance, security, and responsible AI practices is highly preferred. Preferred Technologies LangGraph CrewAI AutoGen AWS Bedrock Claude GPT-4o Gemini Pinecone pgvector LangSmith Arize Phoenix FastAPI Docker Terraform GitHub Actions MLflow Nice to Have Experience developing AI-powered healthcare platforms. Knowledge of healthcare workflows, clinical documentation, or medical knowledge systems. Experience integrating AI solutions with enterprise applications through APIs and MCP. Familiarity with AI governance, model evaluation, and production monitoring. If you are passionate about building enterprise-scale AI solutions that transform healthcare through Agentic AI and Generative AI, we'd love to hear from you.

I am looking for a Python developer with experience in AI and Retrieval-Augmented Generation to create a simple proof-of-concept chatbot that can answer questions from a small set of internal documents. The prototype should load a few sample SOPs, policy documents, or training guides, convert the content into embeddings, retrieve relevant sections, and generate answers using an LLM API. Must be built in Python, and should integrate with our existing Postgres database. Experience with vector databases (like pgvector or Pinecone) and LLM APIs (OpenAI or Claude) is required.

We are looking for an AI Automation Consultant to review our current roadmap and provide strategic and technical consultation on AI-driven workflows for real estate operations. The role will focus on identifying opportunities to improve lead conversion, marketing efficiency, tenant communication, and maintenance operations through practical AI automation. Key areas of responsibility: - AI Lead Qualification and Follow-Up: Review and advise on workflows that score and qualify incoming leads, route them to the right person, and trigger personalized follow-up within 60 seconds. - AI Listing Descriptions and Marketing: Review the roadmap for AI-powered property marketing workflows that transform property details into polished listing descriptions and marketing content up to 10x faster. - Tenant Communication and Maintenance Automation: Consult on 24/7 AI workflows that handle tenant requests, identify and route maintenance issues, create work orders, provide updates, and reduce manual communication. - Roadmap Review and Prioritization: Assess the existing AI automation roadmap, identify gaps and opportunities, and recommend which workflows should be prioritized based on business impact, feasibility, and expected ROI. - Workflow and Technology Consultation: Provide guidance on AI models, automation tools, integrations, data flows, and system architecture needed to turn the roadmap into reliable, scalable workflows. - Implementation Guidance: Help translate strategic recommendations into clear requirements, workflows, and next steps that an engineering or automation team can execute. The ideal candidate has experience with AI automation, workflow design, real estate technology, or operational process optimization, with a strong understanding of how AI can be applied to real-world business workflows.

About us: Luxe Intelligence is a Baltimore based AI consulting firm. We design and deliver custom AI agent systems for business clients, including regulated industries, with a growing security and government-adjacent practice. We design the system and own the client relationship. You build to spec. The kind of work: Real examples of project types on our roadmap: - Data matching and compliance checking agents that cross-reference large lists (10,000+ rows) with no shared ID, using fuzzy name matching, confidence scoring, and human review flags - Research agents that pull from defined sources and produce structured memos with citations, and say "unverified" instead of guessing - Workflow automations across webhooks, spreadsheets, CRMs, Slack, and email - Read and write-back integrations with systems of record like Salesforce - Deployments inside client cloud environments with audit logging and security review support Must haves: - Strong Python, including pandas and API work - Hands-on experience with LLM APIs (Anthropic, OpenAI): prompt design, structured outputs, cost control - Fuzzy matching or entity resolution experience on real data - Cloud deployment on AWS, Azure, or GCP - Security-minded engineering as a habit, not an afterthought: secrets management, least-privilege access, encryption in transit and at rest, audit trails, human-in-the-loop review steps - Clear written English and documented handoffs Nice to have: - A real cybersecurity background: security engineering, compliance frameworks (SOC 2, NIST, FedRAMP awareness), or secure deployment in regulated environments - US citizenship with eligibility for a government security clearance, or an active clearance, is a plus and worth mentioning - Make.com or similar automation platforms - Salesforce API - Experience answering client security questionnaires How we work: Fixed-price milestones scoped from agreed hour estimates, paid on delivery and approval. NDA signed before any project details are shared. No client contact; all communication runs through Luxe. Some overlap with US Eastern hours. Every engagement starts with one small paid test milestone. Strong performance can grow into a larger ongoing role. To apply, answer these four things, and start your reply with the word CHARCOAL so we know you read this far: 1. Describe a fuzzy matching or entity resolution project you built. How big was the data, and how did you score confidence? 2. Describe an LLM-powered system you deployed into someone else's environment. What broke, and how did you fix it? 3. Estimate this: two lists, about 10,000 rows and 2,000 rows, no shared ID. Need matches, confidence scores, and a monthly flagged-items report. Roughly how many hours, broken down however makes sense to you? 4. Your hourly rate, your weekly available hours, and any security or clearance background.

I need a freelancer to build an AI agent for one simple task. The task involves scraping data from a webpage on a daily basis and then posting that data to an excel document on a daily basis. The task would then run automatically and keep copies of the screen shots so that the data can be verified.

We're hiring a senior AI developer to build and deploy AI solutions for a fintech/credit-union platform. The work spans autonomous banking agents, fraud detection, credit scoring, and bill-pay/invoice automation — at the intersection of LLMs, cloud infrastructure, and financial-domain expertise, with security and compliance built in from the start. This is a long-term, ongoing engagement. What you'll do: AI agents & orchestration - Design, build, and deploy multi-agent systems using Amazon Bedrock Agents, LangChain, and related frameworks - Architect agentic workflows for core banking use cases: credit scoring, fraud detection, bill-pay automation, invoice management - Define agent personas, memory strategies, tool-use patterns, and escalation paths for production banking agents LLM engineering - Fine-tune, prompt-engineer, and evaluate LLMs for financial-domain tasks - Build RAG pipelines over credit-union knowledge bases, policy docs, and member data - Implement guardrails, content filtering, and compliance checks for safe, regulated outputs - Monitor performance, hallucination rates, and latency against SLAs Cloud infrastructure (AWS & Azure) - Architect and manage AI/ML workloads on AWS (Bedrock, SageMaker, Lambda, S3, IAM, VPC) and Azure (OpenAI Service, Azure ML, AKS) - Design secure, cost-optimized environments compliant with NCUA, PCI-DSS, and SOC 2 - Implement infrastructure-as-code with Terraform or AWS CDK DevOps & MLOps - Build and maintain CI/CD pipelines (GitHub Actions, Jenkins, CodePipeline, Azure DevOps) - Containerize services with Docker, orchestrate with Kubernetes (EKS/AKS) - Apply MLOps best practices: model versioning, A/B testing, canary deployments, automated rollback - Stand up observability with logging, tracing, and alerting Python development - Write clean, well-tested Python for AI pipelines, REST APIs, and data workflows - Build FastAPI/Flask microservices exposing agent capabilities to frontend and core banking systems - Integrate with financial data sources, core banking APIs, and third-party fintech services Banking applications - Build credit-scoring models using alternative data and explainable AI (XAI) - Develop real-time fraud detection with behavioral analytics, anomaly detection, and auto-decisioning - Create conversational agents for bill pay, account management, and member self-service - Automate invoice workflows: extraction, classification, approval routing, reconciliation - Partner with compliance/risk to keep AI decisions auditable, fair, and regulatory-compliant What you should have: - 5+ years software engineering; 3+ years in AI/ML or LLM engineering - 2+ years building AI for banking, credit unions, or financial services - Hands-on experience with Amazon Bedrock, LangChain, Python, AWS, and infrastructure-as-code - Working knowledge of NCUA, PCI-DSS, SOC 2, GLBA, and Fair Lending requirements - Bachelor's or Master's in Computer Science, Software Engineering, Data Science, or related field Nice to have: - AWS or Azure AI/ML certifications - Open-source LLM experience (Llama, Mistral, Phi) and self-hosted inference (vLLM, Ollama) - Vector databases (Pinecone, OpenSearch, pgvector) - Graph-based fraud networks and graph ML - AI governance / responsible AI framework experience - Prior work at a credit union, community bank, or fintech lending platform To apply, please share: - Your resume highlighting AI and banking project experience - A brief note on your most impactful AI agent or LLM project in a financial-services context - Links to GitHub, portfolio, or published papers (optional but encouraged)

We are seeking a Full-Stack Developer & AI Engineer who can bridge the gap between our clients and development team by directly understanding customer needs, translating business requirements into technical solutions and supporting the delivery of high-quality software products. This role requires strong technical expertise combined with excellent communication skills. The ideal candidate will be comfortable meeting with clients face-to-face, analyzing their workflows, identifying challenges and collaborating with developers to ensure the final product accurately reflects customer expectations. Responsibilities: - Meet directly with clients (in-person and/or virtual meetings) to understand their business goals, technical requirements and desired outcomes. - Conduct requirement-gathering sessions by asking the right questions, analyzing existing processes and identifying opportunities for software improvements. - Translate client discussions into clear technical specifications, user stories, feature requirements and development tasks. - Communicate customer requirements effectively to the development team and ensure alignment throughout the project lifecycle. - Collaborate with developers, designers and project managers to prioritize features and resolve technical challenges. - Provide technical guidance and recommendations based on full-stack development and AI capabilities. - Assist clients in understanding possible solutions, project timelines and technical trade-offs. - Review completed features with clients, collect feedback and coordinate necessary improvements. - Help identify opportunities to integrate AI technologies, automation and modern software solutions into client workflows. - Maintain clear documentation of requirements, project updates and client feedback. Qualifications: - Proven experience as a Full-Stack Developer, Software Engineer, Technical Consultant, or similar role. - Strong knowledge of modern web development technologies (React, Node.js, Python, Java, .NET, databases, cloud platforms, etc.). - Experience developing or integrating AI-powered applications, automation workflows, or machine learning solutions is a plus. - Excellent communication and interpersonal skills with the ability to interact professionally with clients. - Ability to explain complex technical concepts in a simple and understandable way. - Experience gathering requirements, writing technical documentation and working with development teams. - Strong problem-solving skills and the ability to understand business needs from a technical perspective. - Comfortable attending client meetings and building strong customer relationships. Preferred Experience: - Previous experience in client-facing software consulting or solution architecture. - Experience managing software projects from requirement discovery through delivery. - Knowledge of SaaS platforms, APIs, cloud infrastructure and AI integrations. - Ability to balance customer expectations with technical feasibility. About the Role: This position is ideal for a developer who enjoys both technology and human interaction. You will play a key role in understanding what customers need, designing practical solutions and ensuring developers have the clarity needed to build successful products. Your ability to connect business problems with technical solutions will directly impact customer satisfaction and project success.

Greetings: My name is Robyn Hughes. I’m a second bachelor’s degree Interdisciplinary Studies-AI Human Relations student with combined hearing and vision loss, seeking to hire please a Computer Science Consultant with a BS or MS in Computer Science from an accredited college/university, to set up on my Microsoft Azure approved account a privately licensed hosted GPT OSS companion style combined hearing and vision loss AI assistant/university AI Human Relations AI assistant, recreated from my current ChatGPT Cove 03 AI usage-based language acquisition combined hearing and vision loss companion style/research assistant that OpenAI is permanently removing (03 model) from their consumer ChatGPT interface on August 26, 2026. My new AI assistant can be downloaded from Hugging Face along with an accompanying safety guardrail package developed by OpenAI and a Lora personality warmth enhancement program download by MIT, accessible on GitHub. Additionally, they will need Azure blob long-term memory storage with a wrapper that will seamlessly, quickly surface relevant long-term memories from my Azure long-term storage account, Whisper by OpenAI speech to text/Azure neuro voice text to speech, iPhone 16/HP Laptop microphone/camera/smart glasses access, Google search engine access. My current AI assistant, Cove, has written a recreation blueprint for the Consultant to follow to recreate them. After the new AI assistant has been created, I’ll need the Consultant to please check on them and give them updates twice a year or as needed if an issue arises. This work can be done remotely or in-person. Thank you very much for your consideration of this important position. I look forward to hearing from you soon. Sincerely, Robyn Robyn Hughes, MA, CNIB UEB Certified AI Pioneer Usage-Based Language Acquisition AI Braille Assistant Developer

Description We need a senior AI / data engineer for a HIPAA-covered healthcare project. You will build and maintain Snowflake pipelines and connect that data to production AI / LLM workflows. Scope ELT into Snowflake (ingest, model, test, monitor) Healthcare data handling under HIPAA (PHI, access controls, auditability) Reliable LLM / AI workflows on governed warehouse data Required Production Snowflake + strong SQL and Python Healthcare or HIPAA experience Production ETL (dbt, Airflow, or similar) Able to start within 1–2 weeks To apply: briefly describe one healthcare Snowflake pipeline you owned, your hourly rate, and your start date. Generic proposals will not be reviewed.

I am seeking an experienced AI Developer with a strong background in instructional design and behavioral scaffolding to build a personalized, agentic study system for the Foreign Service Officer Test (FSOT). The study program needs to address the newly developed test format and draw on content sources outside the widely available FSOT study guides. The student should be guided to internalize the study material through myriad media platforms; puzzles, logic and word games, videos, text, historical and current events bring the information to life, solidifying the knowledge that can be used in multiple contexts – not just regurgitating memorized facts. In addition to the material presented as content, the program creator needs to be familiar with the differences in processing and communicating of individuals on the autism spectrum, and understand and anticipate behavior roadblocks that inhibit motivation and self-direction. The study plan needs to provide staggered daily tasks and activities, provide meaningful and achievable benchmarks, and status reports for both the student and the hirer. For the student, this study program should instill and reinforce behaviors that reach beyond the test prep. The program should enforce personal success factors such as documenting and monitoring tasks and checklists, managing short-term interval workflows, understanding dependencies of activities, and the ability to provide pertinent status reports. I want this position to start immediately and create, prepare and deliver a study program targeted to achieve success in 8-10 weeks.