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Vetted AI & Machine Learning Professionals in Remote
Pre-screened and vetted in Remote.
Junior Full-Stack Software Engineer specializing in AI/LLM backend systems
Mid-level Backend/Full-Stack Software Engineer specializing in APIs, data systems, and AWS
Mid-level QA Automation Engineer specializing in data validation, API testing, and cloud ETL
Senior Data Scientist and ML Engineer specializing in NLP, LLMs, and AI systems
Mid-level Backend & AI Engineer specializing in agentic systems and scalable microservices
Mid-level AI & Data Engineer specializing in RAG and analytics platforms
Adithya Sharma
Mid-level AI/ML Engineer specializing in MLOps, NLP, and Generative AI
“Built and deployed a production LLM-powered text-to-SQL/document intelligence chatbot on AWS that lets non-technical business users query complex enterprise databases in plain English. Demonstrates deep practical expertise in schema-aware prompting, embeddings-based schema retrieval, SQL safety/validation guardrails, and rigorous offline/online evaluation with human-in-the-loop approvals for risky queries.”
Eranda Sooriyarachchi
Mid-level AI Engineer specializing in RAG, conversational AI, and agentic systems
“Built and deployed a production RAG-based clinical decision support assistant at MedLib, focused on fast, trustworthy answers from large medical documents. Demonstrates deep practical experience improving retrieval accuracy (semantic chunking + metadata-aware search), controlling hallucinations with grounded generation and thresholds, and adding clinician-requested citations using chunk metadata, with evaluation driven by healthcare professional review.”
Srikar Tharala
Mid-level AI/ML Engineer specializing in Generative AI and RAG systems
“Currently at ProShare and reports building an AI/LLM-powered system deployed to production, aimed at helping with status-related difficulties and reducing misunderstandings across transactions. Also cites prior collaboration at Porsche with marketing teams, focusing on translating marketing goals into technical requirements and communicating solutions clearly to non-technical stakeholders.”
Senior AI/ML Engineer specializing in Generative AI, NLP, and MLOps
Mid-level Graphic Designer & Creative Director specializing in brand systems and spatial media
Shreyas Krishnareddy
Junior AI/Software Engineer specializing in NLP, RAG, and resume parsing
“Backend/AI engineer who built and refactored a production RAG system over IRS Form 990 filings for 60 nonprofits, using a dual-path architecture (deterministic financial ranking + TF-IDF semantic retrieval) to keep latency sub-2s and reduce hallucinations. Demonstrates strong API craftsmanship in FastAPI (contract-first, OpenAPI-driven) plus production-grade security for multi-tenant systems (JWT, RBAC, Supabase-style RLS) and careful migration practices (feature flags, traffic mirroring, incremental rollout).”
Mid-level Machine Learning Engineer specializing in NLP and LLM evaluation
Mid-level Data Scientist / AI Research Engineer specializing in LLMs, RAG, and applied ML
Principal Full-Stack AI Engineer specializing in LLM-powered web and mobile products
Mid-level Digital Marketing & Social Media Specialist with web, SEO/SEM, and content strategy expertise
Harshit Vashisth
Junior AI Engineer specializing in LLMs, RAG systems, and MLOps
“Robotics software engineer who built an end-to-end system ("justmatrix"), focusing on multi-agent orchestration and a multi-RAG retrieval backend/API. Has hands-on ROS experience, including a custom node for reliable high-frequency sensor data routing, plus deployment automation using Docker, Kubernetes, and CI/CD.”