Pre-screened and vetted.
Mid-level Software Engineer specializing in backend, full-stack, and network automation
Junior Software Engineer specializing in full-stack, systems, and AI development
Engineering Manager and Full-Stack Engineer specializing in SaaS platforms
Mid-Level Full-Stack & Mobile Engineer specializing in AI-powered web and mobile apps
Junior Software Engineer specializing in cloud-native backend and LLM applications
Junior Machine Learning Engineer specializing in scalable ML systems and LLMs
Mid-level AI Engineer specializing in LLM safety, red teaming, and evaluation
Mid-level Python Developer specializing in web APIs and cloud deployments
Junior AI/ML Engineer specializing in LLM applications, RAG, and multimodal computer vision
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Senior Data Engineer specializing in Machine Learning and Healthcare Data Platforms
Mid-level Software Engineer specializing in high-performance systems and hardware validation
Junior Software Engineer specializing in backend systems and RAG applications
Intern Full-Stack Software Engineer specializing in cloud, microservices, and ML/NLP
Junior AI/ML Engineer specializing in LLM automation and NLP
“Built and shipped a production LLM hallucination detection and monitoring pipeline using semantic-level entropy (embedding-clustered multi-generation variance) to flag unreliable outputs in downstream automation. Implemented a scalable async architecture (FastAPI + Docker + Redis/Celery) with strong observability (structured logs + PostgreSQL) and developed evaluation loops combining controlled prompts and human review; also partnered with non-technical stakeholders on AI-driven form validation/document processing.”
Intern Full-Stack Software Engineer specializing in web apps and healthcare APIs
“Full-stack developer who built an end-to-end e-commerce application with admin/blog/announcement features using Node/Express and AWS S3, emphasizing security via expiring presigned URLs. Also has strong distributed-systems fundamentals from implementing the Raft consensus algorithm (replication logs, majority acks, leader elections) and has created build automation tools (GNU Makefiles/scripts) to streamline team workflows.”
Junior AI/ML Engineer specializing in Python ML, NLP, and model deployment
“Built and productionized a real-time social-media sentiment analysis system used by a marketing team to monitor brand/campaign performance. Experienced in orchestrating LLM workflows with LangChain (validation → prompting → parsing → post-processing), plus monitoring, retraining, and RAG-style retrieval using embeddings/vector stores to keep outputs reliable over time.”