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're looking for an experienced Full-Stack Web Development Consultant to provide technical guidance on modern web applications. Tech Stack: React Node.js Python AWS Docker AI/LLMs (OpenAI, Claude, Gemini, LangChain, RAG, AI Agents) Requirements: 5+ years of full-stack development experience Strong architecture and problem-solving skills Excellent communication Project Type: Short-term Payment: Fixed price per consultation session Please include a brief summary of your relevant experience when applying.

I’m looking for a developer to build a tool that tracks recruiting prospects, pulling daily updates from different platforms/websites, & filters results based on custom metrics.

Need full stack developer capable of setting up a geospatial software. Software code is written primarily in React and Python. Some coding development will be needed. The ideal candidate will have experience with AWS services and be able to handle both front-end and back-end development tasks. Experience establishing CI/CD pipeline and using GitHub. Experience with Kubernetes cluster (AWS EKS) and Key Cloak identity server. All source code has been developed, need help deploying on new AWS instance. NDA is required. Seeking project completion in 30 days.

We’re looking for a developer who knows Python, Rust, and microservices to fix a bug on our AI platform. Right now, some records show up in UTC while others show in local time, and it’s causing inconsistent data across the site. The job is to track down where the mismatch happens, set a single standard for time handling, and make sure everything lines up across the system. Experience fixing production bugs and working with distributed services is a big plus.

We are looking for a skilled Python Developer / Backend Automation Engineer to build a high-speed, completely digital audio harvesting and speech-to-text pipeline. Our target market is the New York City metropolitan area. To eliminate the need for complex physical radio antennas, line-of-sight range issues, and expensive 24/7 cloud AI bills, we are building a purely digital software-in-the-loop gateway. The software will connect directly to open-source public online scanner networks (such as OpenMHz or Broadcastify APIs), pull down raw New York City Fire Department transmission audio blocks into a local machine, process them 100% offline using a locally hosted Whisper AI engine, and isolate outputs based on a Two-Tier Architecture. *Note: You are primarily responsible for building the local ingestion, transcription engine, and outbound webhook/API delivery. We will handle all downstream CRM connections, n8n orchestrations, and advanced database workflows internally. Of course, if you are capable of handling the rest of the full-stack system integration, please feel free to quote us accordingly. * Technical Specifications & Scope: The script will programmatically track and harvest digital .mp3/.m4a/.ogg audio files as they are published online for the primary emergency radio feeds used across the New York City region. The developer will configure the system to monitor a total of 7 distinct channels: 5 Dedicated Borough Dispatch Channels (Manhattan, Brooklyn, the Bronx, Queens, and Staten Island) 2 Operational Citywide Channels Core Architecture (The Two-Tier Framework): Your software must handle incoming audio snippets using a parallel two-tier processing framework: Tier 1: The Master Slack Firehose (Human Intelligence Channel) Action: 100% of all harvested audio blocks from all channels must be transcribed locally. Delivery: Send a cleanly formatted message to a centralized human Slack logging channel (#fdny-master-logs). Payload: Must print the timestamp, the specific channel/borough name, the raw text transcript, and automatically attach/upload the compressed audio file to the Slack message for human reference. Tier 2: High-Speed Webhook Trigger (Automation Layer) Action: In parallel, a keyword scanner must scan every local transcript for severe operational fire escalation codes (e.g., "10-75", "All Hands", "Second Alarm", "Working Structure Fire"). Delivery: If a matching keyword sequence is found, immediately fire a structured JSON webhook payload directly to an internal endpoint we provide. Storage Management: The local machine needs a data retention policy. Raw audio files and local text logs must be stored locally for a short retention period (e.g., one week or one month, TBD) to act as a local backup archive. The script must include an automated cron job or cleanup routine to safely purge local assets once they cross this age threshold. Future Project Opportunities: This system is our foundational blueprint. Once stabilized in New York City, we plan on scaling this digital pipeline to ingest neighboring regional counties that utilize digital P25 trunked radio networks. The ideal freelancer will design this code modularly so adding new regions, channel counts, or digital streaming endpoints in the future takes minimal configuration changes. Required Skills: Strong proficiency in Python (specifically handling HTTP streams, async downloads, and JSON webhooks). Experience with Docker and Docker-Compose to containerize the local software stack. Hands-on experience deploying open-source AI speech-to-text models locally (such as faster-whisper or distil-whisper) running on consumer-grade CPU/RAM. Familiarity interacting with the Slack Web API (sending structured messages and programmatically uploading file assets). To Apply: Please briefly explain how you would structure a script to capture internet audio buffers cleanly without blocking, and which local Whisper engine implementation you prefer for maximizing transcription speeds on basic Linux hardware.

Duties and Responsibilities: - Primarily work on backend systems such as API servers written in Go (Golang) and are backed by a variety of SQL and NoSQL databases. - Ability to work on software development kits in a variety of languages (e.g. Python, R, Typescript) to assist code consumption of backend systems. - Feature development will include tasks like: o Ingesting data from third party systems and loading them into our in-house data stores o Implementing API handlers to serve in-house data out to internal systems and users o Creating web apps to visualize the data in meaningful ways for the front office to manage in-season operations o Creating web apps to monitor and manage the data flows for front office admins to control

SEEKING HIGHLY MOTIVATED US DEVELOPERS / AMERICAN CITIZENS ONLY! Full-Stack and Mobile Developers needed for Back-end, Front-end, and Mobile development. We are seeking AMERICAN developers who have strong skills in PHP, Python, Java, Javascript, React, Vue.js, Typescript and Flutter. Both Web application and Mobile application development work available. Experience with data scraping / data analysis is a plus. Must have excellent command of Linux, SQL, and Git. No slackers, no agencies, no middlemen, no "teams". Please be the person you claim to be, and please be the individual who proposes to do the work. Serious candidates only. *NO VIBE-CODERS* *NO WINDOWS USERS* Please be a Mac or Linux user for your personal machine. You must be able to connect to our Linux servers and ready to hit the ground running with no issues. You must be motivated, enthusiastic, and ready to get to work. Must be willing to have brief 20-minute VIDEO interview. Be ready to bring your A-game! THIS JOB IS AVAILABLE FOR U.S. CITIZENS ONLY.

We run a production backend for an AI-powered platform that helps users identify scams over voice and text in real time. It is live and functional today, built by our current lead backend engineer. We are hiring a second senior engineer to work alongside the existing codebase: validating the architecture, closing out remaining features, and adding capacity so the project is not dependent on a single developer. Stack: Python, FastAPI, Firebase, Firestore, Google Cloud Platform, Cloud Run, Twilio Voice and SMS, Stripe, LLM API integration (Anthropic, OpenAI, or similar), speech to text / text to speech pipelines. What you will do: Review and validate the existing backend architecture and Firestore data model Help close out remaining features ahead of a pilot launch Improve reliability, security, and production readiness where needed Work as ongoing backend capacity going forward You should have: Senior-level Python and FastAPI experience in production Real production experience with Firebase, Firestore, and Cloud Run Experience inheriting and working within an existing codebase, not just building from scratch Twilio voice or SMS experience strongly preferred Experience with Stripe and LLM API integrations a plus Clear written English and some overlap with US Eastern Time To apply, answer this: Describe a time you inherited another developer's production codebase. What was your approach to understanding it, identifying issues, and improving it without disrupting the existing system? Please skip generic template proposals. Repository access and full technical scope provided after a signed NDA.

I am looking for an AI and machine learning developer to help create a basic image-recognition application for Decathlon. The goal of the project is to build a model that can identify the difference between running shoes and soccer cleats based on uploaded images. The developer should have experience with artificial intelligence, machine learning, computer vision, image processing, Python, and TensorFlow. The project would include helping develop and train the image model, testing its accuracy, and creating a basic prototype that could potentially be used in a mobile app or on a website. The main deliverables would be a trained image-recognition model, testing results, and a basic working prototype. I am looking for someone with relevant experience, strong communication skills, and the ability to complete the project within the expected timeline and budget.