Pre-screened and vetted.
Junior Data/AI Engineer specializing in MLOps, real-time pipelines, and LLM applications
“Built an LLM-driven MLOps agent at SBD Technologies that automated an EV-charging prediction workflow end-to-end, integrating with real-time Kafka/FastAPI systems supporting 120K+ chargers at 99.99% event delivery. Addressed frequent schema drift by implementing SQLAlchemy/Flyway validation (60% reduction in drift issues) and deployed as Kubernetes microservices with GitHub Actions CI/CD; also has Airflow-based ingestion/crawling experience into Snowflake and stakeholder-facing delivery via a Fleetcharge PWA.”
Junior Full-Stack/AI Engineer specializing in web platforms and LLM applications
“Backend engineer from FoodSupply.ai who built and evolved a scalable restaurant/supplier product and order management platform using Node.js and REST APIs. Implemented a hybrid MySQL+MongoDB data architecture, optimized performance with Redis/Prisma, and led a phased migration with feature flags and a temporary sync layer to maintain data consistency. Strong focus on production security (OAuth2, RBAC, row-level security, AWS IAM) and reliability practices (testing with Pytest, Docker/AWS pipelines).”
Mid-level Software Engineer specializing in AI, full-stack systems, and FinTech
“Product-minded full-stack engineer with experience in fintech identity verification and industrial analytics, focused on turning repeated operational pain points into reusable platforms. Built real-time KYC/KYB dashboards, secure cross-platform web components, and a multi-tenant workflow engine that cut onboarding from 2 weeks to 1 day while materially improving conversion, reliability, and developer speed.”
Mid-level AI Engineer specializing in LLM systems and data platforms
“AI/backend engineer who independently built and operated an agentic telecom analytics system end-to-end, using LangGraph and Claude to turn natural language into safe SQL in a regulated environment. He combines startup-speed execution with compliance-minded rigor, citing 95%+ NL-to-SQL accuracy, a 30-minute-to-2-minute workflow improvement, and zero-findings support across three regulatory audit cycles.”
Mid-level Systems Software Engineer specializing in distributed cloud infrastructure
“Backend-leaning full-stack engineer in fintech/payments who shipped an end-to-end Stripe payments + webhook system for a financial microservices platform, emphasizing ledger accuracy via idempotency, transactional writes, retries, and DLQs. Also delivered a real-time React/TypeScript payment status dashboard informed by user interviews, and improved production performance by 35% p95 latency through PostgreSQL tuning and Redis caching on AWS.”
Senior Software Engineer specializing in Applied AI and FinTech
“Backend engineer with experience building an end-to-end civic tech AI platform that ingests city council meeting videos, transcribes them with Whisper, and enables natural-language Q&A via a LangChain/FAISS RAG pipeline. Demonstrated strong systems thinking by tuning retrieval for accuracy/latency/memory (cutting response time ~3s→1s and memory ~500MB→25MB) and by safely migrating an ERP from monolith toward services using dual writes, reconciliation, and idempotency to protect financial workflows.”
Intern Software Engineer specializing in full-stack and backend systems
“Full-stack developer intern who significantly owned parts of a recruitment platform used by recruiters, job seekers, and company administrators. They stand out for building and optimizing complex React-based dashboards for large datasets, improving responsiveness through debouncing, memoization, reusable component architecture, and thoughtful UX simplification.”
Senior Backend Engineer specializing in distributed systems and AI-integrated APIs
“Backend-focused engineer with 7+ years of experience building cloud-native, distributed SaaS systems in startup-like environments, including healthcare and enterprise automation platforms. Strong in Go/Python microservices, event-driven architectures, and production AI/LLM integration, with hands-on experience scaling Kubernetes-based systems on AWS while balancing speed, reliability, and evolving product requirements.”
Senior Full-Stack Engineer specializing in Python, Go, and cloud-native systems
“Full-stack/backend-leaning engineer with hands-on experience spanning Python, Go, React, Kafka, PostgreSQL, Redis, Docker, and Kubernetes. They stand out for building real-time analytics and decisioning systems, plus a healthcare-focused B2B SaaS compliance/data integration platform that combined high-throughput event processing, dashboarding, and third-party integrations in a startup-style, high-ambiguity environment.”
Senior Full-Stack Engineer specializing in Python web and cloud applications
“Full-stack engineer with strong Python/React experience who has built systems from scratch, including a custom POS platform as the sole initial engineer. They also bring applied experience across IoT reward platforms, HR matching/search systems, and LLM-powered automation products, with a track record of improving reliability and speed through thoughtful architecture decisions.”
Staff Software Engineer specializing in AI-native platforms and full-stack systems
“Founding engineering lead and player-coach who built a small cross-functional team around an AI-first development model, increasing execution speed by more than 3x through hands-on coaching and human-in-the-loop practices. Has led architecture for a multi-tenant platform and built an AI system for fashion businesses that generates content, imagery, and operational recommendations, combining technical depth with product and UX judgment.”
Senior Backend Engineer specializing in cloud-native microservices and AI backend systems
“Backend-leaning full-stack engineer who has repeatedly built web products end-to-end, including an artist booking and event management platform with complex location-based pricing, search, and booking flows. Strongest signal is ownership of backend architecture, API design, database modeling, performance optimization, and production stabilization while also partnering on frontend integration and UX improvements.”
Senior Software & AI Engineer specializing in full-stack development and FinTech AI
“Startup-focused full-stack engineer who has worked across fintech and digital health, including Pivotxy and Cybele Health. They combine backend/API development with AI integration, including GPT-powered financial reporting and a finance agent benchmark, and have helped turn manual report workflows that took weeks into outputs generated in minutes.”
Junior Full-Stack Engineer specializing in AI-powered web platforms
“Full-stack engineer with hands-on experience shipping multiple AI-powered products, including donor recommendation systems, RAG-based document Q&A, and cybersecurity threat analysis tools. Stands out for combining TypeScript/React and backend API development with practical LLM evaluation, grounding, and production optimization—driving measurable outcomes like 30% higher donor engagement and 87% answer accuracy under 2-second latency.”
Senior Game Platform Engineer specializing in Unity mobile games
“Unity engineer with 8+ years of experience who owned Pitch5T end-to-end, spanning core gameplay systems, data-driven bot AI, mobile optimization, and custom real-time PvP networking. Particularly strong in building designer-friendly LiveOps workflows using telemetry and remote config so balancing could happen without repeated engineering intervention.”
Mid-level Software Engineer specializing in integrations and automation
“Union College robotics graduate with hands-on ROS experience building an independent “waiter bot” that took spoken orders (Mozilla DeepSpeech), used OpenCV, and navigated via SLAM on a TurtleBot with LiDAR. Also led the Union College Robotics crew for four years and implemented PID control for micromouse maze robots; has additional software deployment experience with Dockerized FastAPI and CI/CD from coursework.”
Mid-Level Software Engineer specializing in cloud-native microservices and full-stack development
“Full-stack engineer with deep startup experience building products from scratch under ambiguous requirements. Delivered a scalable, admin-configurable notification platform (Spring Boot/Java/Kafka) supporting 50+ notification types across 3 channels for 10k+ users, cutting new notification setup to ~5 minutes. Also built a Tinder-meets-LinkedIn job-swiping app (React/TS + Node/Prisma) and has hands-on AWS production ops (ECS/EKS, RDS, CloudWatch) plus multiple third-party integrations (Stripe, QuickBooks, Twilio).”
Senior Full-Stack AI/ML Engineer specializing in MLOps and GenAI
“Senior backend/data engineer who has built and maintained HIPAA-compliant, real-time clinical FastAPI services on AWS, orchestrating ML/LLM and vector DB calls with strong reliability patterns (auth, timeouts/retries, graceful degradation, idempotency). Also delivered AWS IaC/CI-CD (Terraform/Helm/GitHub Actions) across EKS/Lambda/SageMaker and built Glue/Spark ETL with schema evolution and data quality controls, plus demonstrated large SQL performance wins (15 min to <9 sec) and hands-on incident ownership.”
Junior AI/ML Software Engineer specializing in automation and healthcare imaging
“Backend-focused engineer who built a Python-based automation system leveraging Gemini AI and prompt-driven PDF field extraction to replace a previously manual third-party workflow. Drove stakeholder alignment around accuracy/acceptance thresholds and added production-minded safeguards like graceful failure handling and backup model contingencies.”
Mid-level Full-Stack & XR Developer specializing in GenAI and immersive AR/VR systems
“Built and deployed a "personal second brain" product (CloneMind) with an end-to-end RAG pipeline for retrieving information across PDFs, URLs, images, and audio using Next.js/Node.js/Postgres/Supabase/Redis. Demonstrates strong practical depth in retrieval quality tuning, latency reduction via caching, and stateful orchestration with LangChain/LangGraph, plus experience persuading a non-technical professor stakeholder by shipping a working prototype.”
Junior Full-Stack Java Developer specializing in Spring Boot microservices and cloud DevOps
“Software engineer with hands-on production experience deploying Spring Boot services to AWS using Docker and Jenkins CI/CD, focused on stable releases, easy rollback, and performance improvements through monitoring/logging and query optimization. Has proven cross-layer troubleshooting skills (identified packet loss causing intermittent timeouts via network traces) and experience collaborating on-site with operators in industrial/IoT-style environments, including working alongside robotics/PLC teams.”
Junior Full-Stack Software Engineer specializing in AI/ML platforms and microservices
“Graduate-school lab engineer who built and owned the final architecture of a Microservices Hub that integrates REST APIs, issues API keys, monitors 10+ Linux servers, and visualizes service dependencies via a topology graph. Strong in bridging legacy and modern stacks (Dockerized and non-Dockerized services like Apache/screen) using deep Linux/networking knowledge, plus practical real-time audio streaming for STT/TTS and experience mentoring others.”
Senior Full-Stack & AI Developer specializing in Python/React, AWS, and LLM/RAG systems
“Backend Python engineer who owned the full backend build of an AI-driven platform for UK golf clubs, including FastAPI microservices, vector search, and a tuned LangChain+Pinecone RAG pipeline focused on cost and hallucination reduction. Experienced deploying Django/FastAPI/Flask stacks on AWS-backed Kubernetes with GitOps/ArgoCD-style delivery, plus executing legacy-to-AWS migrations and building Kafka-based real-time analytics pipelines.”