Pre-screened and vetted.
Senior DevOps & Cloud Engineer specializing in multi-cloud infrastructure and compliance automation
Mid-level Machine Learning Engineer specializing in LLMs and ML at scale
Mid-level AI/ML Engineer specializing in LLM agents, RAG, and cloud-native ML systems
Senior Generative AI Engineer specializing in LLM platforms, RAG, and MLOps
Mid-level AI/ML Engineer specializing in cloud MLOps and agentic RAG systems
Mid-Level Software Engineer specializing in AWS reliability and data platforms
Mid-Level Software Engineer specializing in AWS data pipelines and full-stack development
Mid-level Software Engineer specializing in distributed systems for Healthcare and E-commerce
Mid-level Software Engineer specializing in backend systems, data pipelines, and GenAI automation
Senior AI/ML Engineer specializing in healthcare AI, LLMs, and MLOps
Senior AI/ML Data Scientist specializing in cloud-deployed NLP, CV, and MLOps
Mid-level Software Engineer specializing in full-stack and cloud-native systems
Mid-level Backend Software Engineer specializing in AWS microservices and REST APIs
Mid-level Data Engineer specializing in cloud data pipelines and analytics platforms
Intern Software Engineer specializing in cloud, backend systems, and LLM-powered tooling
Mid-level AI/ML Engineer specializing in GenAI, RAG, and cloud-native ML platforms
Mid-level AI/ML Engineer specializing in NLP, RAG, and agentic AI
Mid-level Full-Stack Developer specializing in React, Node.js, and cloud-native AWS systems
Senior Data Engineer specializing in cloud data platforms and real-time pipelines
Mid-Level Full-Stack Software Engineer specializing in cloud-native data platforms
“LLM/agentic systems practitioner who specializes in moving customer prototypes into production within microservices environments, emphasizing reliability, latency, security, and measurable success metrics. Experienced in real-time troubleshooting using logs/traces and in enabling adoption through hands-on developer workshops (including live coding in Java Spring Boot) and pre-sales POCs that address technical objections and integration risk.”
Senior DevOps/DevSecOps Engineer specializing in AWS & Azure cloud infrastructure
“Infrastructure/DevOps-focused engineer working across Linux-based enterprise platforms that include IBM Power/AIX in a broader OpenShift/Kubernetes and cloud ecosystem. Built Azure DevOps CI/CD for containerized deployments and resolved a production deployment failure by tracing ImagePullBackOff to outdated registry credentials in Kubernetes secrets. Uses Terraform (with modular structure) plus Ansible to provision and standardize production environments with pipeline-based validation.”
Senior DevOps Engineer specializing in AWS cloud platform engineering and Kubernetes
“Cloud-focused DevOps/Infrastructure engineer with hands-on AWS high availability, migration cutovers, and production automation. Built Jenkins-based CI/CD pipelines (Git, SonarQube, Artifactory) and manages Terraform IaC with S3/DynamoDB remote state, PR-based reviews, and staged environment promotion; targets $160k base. No direct IBM Power/AIX/PowerHA experience.”
Senior AI/ML Data Scientist specializing in NLP, computer vision, and MLOps
“Applied LLMs and a graph-RAG architecture in Neo4j to automate an accounting firm's cross-checking of transactional books against tax regulations, indexing 1,000+ pages into a knowledge graph with vector search. Combines agentic LLM workflows with classical NER (Hugging Face/NLTK) and validates using expert-labeled held-out data plus precision/recall and measured accountant time savings after deployment.”