Pre-screened and vetted.
Mid-level AI Engineer specializing in ML, LLM applications, and data automation
“Data/ML practitioner who has built a production RAG-based knowledge assistant integrated into Microsoft 365/internal dashboards to help employees query internal documents in plain English. Experienced orchestrating and hardening ETL pipelines with Airflow and Azure Data Factory (validation, retries, monitoring) and running end-to-end model evaluation and production performance tracking via Power BI.”
Mid-level Customer Success & Strategic Account Manager specializing in FinTech and SaaS
“Enterprise Customer Success/implementation leader in fintech (Optimus) specializing in payment reconciliation platforms, complex integrations (API/SFTP), and data normalization across processors/banks/ERPs. Demonstrated measurable impact (60–70% reduction in manual reconciliation) and strong cross-functional/product influence, including roadmap improvements for exception management and successful land-and-expand into fee management.”
Junior AI/Full-Stack Software Engineer specializing in ad automation and LLM systems
“Full-stack engineer with deep ad-tech/marketing automation experience, building production tools that reduce programmatic ad waste and improve search ads performance. Shipped and operated AWS-deployed, Dockerized systems with Postgres/Redis and strong observability (Datadog/OpenTelemetry), and delivered measurable impact (25k campaigns processed, 50k sites negated, 3–4 hours/week saved). Built scalable abstractions for multi-platform ad integrations, enabling rapid onboarding of additional clients.”
Mid-level Full-Stack AI Engineer specializing in deployed LLM agents and RAG systems
“Built a real-time AI meeting assistant using a Chrome extension that streams audio to a backend LLM workflow with transcription and RAG, then hardened it for production with queue-based streaming, async pipelines, security controls, and full observability. Also has hands-on startup sales experience, partnering with customers to define measurable technical win conditions (latency/accuracy) to close deals and drive adoption.”
Senior Game Developer specializing in Unity and HTML5 game development
“Unity developer (3+ years) focused on mobile multiplayer/casual games, combining technical leadership with game design ownership. Has shipped modular gameplay systems, integrated monetization/analytics, and built a custom Unity Editor plugin for configurable combat/animation montage workflows (masking + blending). Not experienced with VR/Meta Quest yet.”
Mid-Level Full-Stack Software Developer specializing in web apps and payment systems
“Frontend engineer who led an end-to-end dashboard web app build, starting from UI sketches and user stories through design documentation and a proof-of-concept to align stakeholders. Uses a modern React/TypeScript stack (TanStack Query/Table/Form, shadcn/ui, Tailwind) with Zod validation, ESLint + CodeRabbit PR checks, and Vercel Analytics for performance monitoring.”
Principal Full-Stack Engineer specializing in MERN/MEAN and AWS cloud platforms
“Frontend engineer who has led customer-facing React + TypeScript products end-to-end, building complex dashboards with robust async state patterns (caching, deduping, cancellation, optimistic updates) and strong quality practices (TypeScript standards, layered testing, production monitoring). Experienced modernizing inherited codebases through modularization and performance work (code splitting/memoization) while aligning stakeholders and shipping safely via feature flags and staged rollouts.”
Junior Machine Learning Engineer specializing in cloud-based ML and automation
“Built and shipped a production multi-agent LLM system at Solena that automated internal project intake, validation, reporting, and stakeholder communications using Python, SQL, and LangChain, with strong emphasis on reliability (structured validation, safe defaults, logging, and state tracking). Also used LangGraph to orchestrate a multi-step video summarization pipeline, and has experience partnering with non-technical stakeholders to define “completion” criteria and reporting needs.”
Senior Data Scientist / AI Engineer specializing in LLMs, RAG, and production ML
“Data science professional who has built a production RAG-based LLM question-answering system ("Flash Query") to deliver fast, accurate answers over large document collections, focusing on retrieval quality and grounded responses. Also collaborates with non-technical retail/jewelry stakeholders to turn business questions into predictive models and dashboards for decision-making.”
Junior Business & Data Analyst specializing in automation, BI, and implementation
“Operations- and growth-oriented candidate who improves external partner workflows through standardization and measurement (cut turnaround time ~40% while maintaining 99% accuracy). Also launched and scaled a university Excel/data analysis workshop using ICP-driven GTM and a tracked acquisition loop, increasing attendance 15% and generating 95% repeat-demand intent.”
Mid-level GenAI Engineer specializing in LLM agents and RAG systems
“Built and deployed a production RAG-based LLM assistant that answers day-to-day operational questions from internal PDFs/SOPs, with strong emphasis on data consistency (metadata versioning, confidence thresholds, conflict handling) and low-latency retrieval at scale. Experienced designing and orchestrating multi-agent LLM workflows (retrieval/validation/generation) and pipeline orchestration for ingestion/embedding/vector-store updates, plus iterative delivery with non-technical operations/business stakeholders.”
Junior AI Engineer specializing in LLM evaluation, prompt engineering, and AI orchestration
“LLM workflow builder who has deployed a personalized GPT experience (including Delphi AI-based knowledge ingestion) and built a LangChain/LangGraph job-aggregation pipeline that ingests, normalizes/dedupes, filters, then uses an LLM to rank and summarize matches. Emphasizes production reliability with structured outputs, retries/fallbacks, metric-driven evaluation, logging/prompt versioning, and A/B testing, and collaborates with non-technical stakeholders through demo-driven iteration.”
Junior AI/ML Software Engineer specializing in Generative AI and scalable data pipelines
“Built and operated large-scale biodiversity/ecological research platforms, integrating 50+ heterogeneous global datasets into a unified BIEN 3 schema on PostgreSQL/PostGIS and improving data consistency by 35%. Strong production engineering background (Linux monitoring, CI/CD performance gates, Docker on AWS/Azure) plus applied AI work building a Python RAG system (0.90 precision) and halving latency with Elasticsearch.”
Senior Product Manager specializing in AI-driven engagement and gamification
“F2P product/game designer with live-ops experience on an NBC Group-owned mobile app in the MENA region (~200k users), driving personalization (segmented ads/trivia) and monetization (regional pricing, LTOs, season pass). Owns the full delivery lifecycle—PRDs/backlog through QA/UAT and release—and uses retention/conversion metrics and A/B testing to tune rewards and the game economy.”
Junior Software Engineer specializing in ML, RAG systems, and safety-critical risk modeling
“Backend/cloud engineer from Resilient Tech with hands-on experience deploying REST APIs and database migrations into a live ERP used by real customers while maintaining 99% uptime. Has debugged intermittent AWS container timeouts down to security group/load balancer misconfigurations, and has extended Python in an ERPNext system to meet GST/e-invoicing compliance requirements with strong customer collaboration.”
Senior Systems Analyst & PMO specializing in ERP and web content platforms
“Remote game QA tester with PlayStation and Xbox testing experience, using Jira to track bugs and create test case reports while collaborating directly with development teams. Has tested titles/projects including Valorant, Roblox, and Unity 3D games, and has self-studied Microsoft XR certification requirements.”
Mid-Level Software Developer specializing in .NET web applications on Azure
“Full-stack developer who built an end-to-end billing/allocation/payment and reporting system used daily by a major film-industry union, including queuing-based check assignment, admin auditing, data cleanup tools, and an external reports portal. Also delivered a factory production scheduling/analytics app for a lock manufacturer, and typically implements APIs in C#/.NET with DTO shaping and pub/sub messaging for microservices consistency.”
Mid-level Python Full-Stack Engineer specializing in AI microservices and cloud data platforms
“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.”
Mid-Level Software Developer specializing in API development and test automation
“Self-taught frontend developer with React/TypeScript project experience and strong QA background. Contributed as a QA tester on a Skunkworks web app by refining large story tickets, defining happy-path/edge test cases, and setting sprint metrics; also improved a legacy PHP web app by modularizing SFTP bulk upload code and enhancing page navigation.”
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.”
Mid-level IT Business Analyst specializing in QA, UAT, and ERP/CRM systems
“Manual QA tester with experience in black-box/white-box and positive/negative testing, using meeting minutes to translate requirements into executable test scenarios. Comfortable working in a structured workflow using Trello for task tracking and prioritizing urgent issues first; open to learning new standards and workflows.”
Junior Solutions Engineer specializing in full-stack automation and LLM prompt engineering
“Built and productionized an LLM-powered customer support system using a RAG architecture with structured document ingestion, embedding retrieval, and prompt templates for product-specific grounding. Experienced diagnosing live agent/workflow failures (e.g., retrieval regressions after new docs) by refactoring ingestion/chunking and adding grounding constraints plus evaluation benchmarks. Also supports go-to-market by joining discovery calls, shaping MVP workflows into demos/prototypes, and creating post-launch documentation to drive adoption.”
Senior Supply Chain & Procurement Professional specializing in operations optimization
“Procurement/sourcing professional at Brightmark owning end-to-end CAPEX sourcing for uptime-critical plant components, from RFQs and vendor onboarding through production tracking and delivery. Demonstrated measurable savings (10–12%), mitigated supplier credit and trade/duty risks (Incoterms/HS code/COO), and improved AP/vendor relationships by fixing PO/invoice scope and documentation issues using SAP, Asana, and eMaint.”
Mid-level Machine Learning & Generative AI Engineer specializing in AI agents and LLM workflows
“Customer-facing AppSec/solutions engineer with experience securing cloud-native AI/LLM deployments on Azure and Kubernetes. Led threat modeling and production hardening (Key Vault secrets migration, least-privilege IAM, rate limiting, structured logging/monitoring, LLM guardrails) and has supported retail search/catalog platforms using Elasticsearch, including performance triage and rollout playbooks that improved customer trust and enabled engagement expansion.”