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Backend/model-layer AI engineer at Monte Carlo (agent & data observability) who takes ambiguous problems end to end: researching, prototyping, and shipping agent-powered features, eval infrastructure, and retrieval/context pipelines in Python with LLMs. No frontend; remote-first in the US.
Forward Deployed Engineer (AI) at Memorang works directly with customers and subject-matter experts to design and deploy AI-powered education solutions, taking ideas from POC to pilot to production. Day-to-day centers on LLMs, agent orchestration, knowledge graphs, and modern frontend/API development; reports to the founder, fully remote.
An unpaid, remote internship at an early-stage SaaS startup where you write precise requirements in Claude Desktop, build features by directing Claude Code/CLI, then QA-test and document your own work. Stack is Laravel (PHP), Inertia.js, React, Tailwind CSS, and PostgreSQL.
An intern who owns features end to end at an AI-first SaaS startup: translating epic overviews into precise requirements in Claude Desktop, building by directing Claude Code, QA-testing their own work, and documenting it. Stack is Laravel (PHP), Inertia.js, React, Tailwind CSS, and PostgreSQL; fully remote but US-based only.
Senior backend engineer (10+ yrs) at DoctusTech, a US healthcare-focused tech company. Day to day: architecting and hands-on coding Python/Django/FastAPI services, building Agentic AI/LLM/RAG applications, and mentoring engineers. Remote role in India paying ₹45L–₹50L.
Consultbae is hiring a full stack engineer for a 6-month remote contract (EST) with a confidential client. Day to day: build web apps and platform features across frontend (Angular/React), backend APIs (Python/Node/Golang), SQL/NoSQL databases, AWS cloud, and CI/CD, meeting WCAG accessibility standards, with preferred AI/LLM integration work.
Veloxio Technologies builds web apps and AI automation for clients and seeks a senior engineer to own the full lifecycle: MERN-stack development (Node, React, MongoDB), LLM integration (OpenAI/Anthropic, LangChain, RAG), and web scraping/automation pipelines with Puppeteer/Playwright, Docker, and cloud deploys. Pays ₹8–14L/year, remote from Gurugram.
Founding engineer at a healthcare AI startup rebuilding the hospital medical supply chain. You'd own the full technical foundation end to end — architecture, frontend, backend, and LLM-powered agentic workflows — working directly with hospital customers. Core stack: TypeScript, Python, Next.js/React, FastAPI, and LangGraph.
Part-time (~20 hrs/week, remote) applied AI engineer at an early-stage startup, paid equity-only. You'd ship AI features into the company's and partners' products using LLM APIs (OpenAI, Anthropic, AWS Bedrock), RAG pipelines, and Python/Django services.
Build and scale an agentic AI platform: an always-on cloud orchestrator coordinating hundreds of dedicated Mac Mini nodes running personal AI agents over SMS, WhatsApp, Slack, email, and iMessage. Full-stack and infrastructure work with Python, FastAPI, TypeScript, PostgreSQL, AWS, and Terraform on a small, remote Argentina-based team.
Internship owning features end-to-end at a proprietary SaaS startup: writing precise build-ready requirements in Claude Desktop, building features by directing Claude Code, then QA-testing and documenting the result. Stack is Laravel (PHP), Inertia.js, React, Tailwind CSS, and PostgreSQL; fully remote within the US.
Full-stack engineer at Celeix Digital building AI-native products (mailbox/document intelligence, AI classification, data-extraction pipelines). You own features end-to-end across a NestJS/TypeScript backend and React frontend, including LLM pipelines (OpenAI/Anthropic), BullMQ workers, and real-time delivery via Socket.IO.
ProdE AI is hiring a software engineer to design and ship production AI agents for enterprise software planning — writing scalable Python and building supporting infrastructure like data pipelines, retrieval, and evaluation harnesses. Core work involves LLM agent patterns (ReAct, planning loops, multi-agent, RAG) plus MongoDB.
Senior forward-deployed engineer at AZX who scopes, builds, deploys, and measures agentic AI systems (document intelligence, guardrails, eval harnesses) inside client environments in utilities, real estate, and logistics. Day-to-day is full-stack delivery with Python/FastAPI, React/TypeScript, Postgres/pgvector, and LLM/RAG tooling deployed in client clouds.
Senior generalist engineer at ISHI Health who ships product features across the backend stack (Python/Go/Java/TypeScript on AWS) while specializing in evaluation and validation harnesses for AI agents and LLM-powered clinical features, including prompt regression suites, RAG quality metrics, and verification documentation supporting an FDA SaMD regulatory pathway.
Senior engineer to own Terrabase's production agent infrastructure: extending a LangGraph orchestration harness with typed handoff contracts, building eval suites and CI release gates, triaging failures from LangSmith traces, and ensuring SQL/artifact correctness for enterprise customers. Core stack: Python, LangGraph/LangChain, LangSmith, TypeScript.
Senior engineer to own Terrabase's Python/FastAPI platform end to end: agent orchestration services, async Celery workers, enterprise data connectors (Snowflake, BigQuery, Databricks, etc.), and observability on AWS. Fully remote startup serving enterprise customers, paying $25k–$55k plus 0.1%–1.0% equity.
Senior Software Engineer to design, build, and own features of SitScape's DEEP no-code enterprise platform, leading projects from concept through deployment and mentoring junior engineers. Day-to-day is full-stack work with JavaScript/ES6+ and PHP, MySQL/PostgreSQL, REST APIs, and AWS, with AI/ML work like RAG and LLM integration as a plus.
Internship building the platform behind Paddox's AI 'digital employees': full-stack features with Next.js/TypeScript, a Node/Postgres backend on Supabase/Google Cloud, plus an LLM agent layer, role-scoped memory, third-party integrations, and governance/audit tooling. Pays $80k–$110k plus 2–10% equity.
Contract software engineer building Paddox's AI digital-employee platform end to end: Next.js/TypeScript front end, Node + Postgres backend on Supabase deployed to Google Cloud, plus an LLM agent layer (Anthropic/OpenAI APIs), per-client memory, governance, and tool/communication integrations.
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