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Vetted Software Development Engineers
Pre-screened and vetted.
Mid-level Software Engineer specializing in AI/ML, GenAI agents, and cloud microservices
Mid-level Backend Software Engineer specializing in FinTech and scalable APIs
Mid-Level Software Engineer specializing in full-stack and cloud microservices
Mid-Level Backend Engineer specializing in microservices and high-scale APIs
Senior Software Engineer specializing in cloud-native backend systems and data platforms
Mid-Level Full-Stack Software Engineer specializing in AI and data platforms
Mid-level Backend Software Engineer specializing in AWS microservices and REST APIs
Mid-level Software Development Engineer specializing in FinTech distributed systems
Mid-level Software Engineer specializing in backend systems and LLM applications
Mid-level Software Engineer specializing in full-stack cloud and embedded systems
Senior Full-Stack Software Engineer specializing in Java/Spring Boot and AWS
Intern Software Engineer specializing in cloud-native distributed backend systems
Mid-Level Software Engineer specializing in FinTech trading and portfolio platforms
Mid-Level Software Engineer specializing in cloud backend and GenAI assistants
Junior Full-Stack Software Engineer specializing in Real Estate SaaS and AI automation
Mid-level Software Engineer specializing in event-driven backend and on-device ML for robotics
Mid-Level Software Engineer specializing in full-stack systems and cloud platforms
Vidhi Chhatbar
Mid-level Full-Stack Software Engineer specializing in microservices, cloud, and GenAI
“Software engineer with experience across enterprise (AIG, MSCI) and an early-stage startup (Job Map), owning production systems end-to-end. Built secure insurance microservices on Spring Boot with JWT/RBAC and AWS-based CI/CD/observability, plus Kafka streaming pipelines for financial data. Also shipped a GenAI personalization MVP using FastAPI and LLM APIs in a high-ambiguity startup environment.”
Hari Kiran Reddy Rommala
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.”
Meet Merchant
Mid-level Software Engineer specializing in LLM agents and full-stack systems
“At Esri, the candidate is building a production LLM-powered WebGIS AI framework that embeds an AI assistant into web maps and routes natural-language requests into ArcGIS JavaScript SDK functions via a LangGraph-orchestrated, multi-agent system. They emphasize production reliability and scale (strict tool calling/JSON, live schema validation, query guardrails) and rigorous evaluation/observability using LangSmith, offline prompt datasets, and latency/tool-call accuracy tracking.”