Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Hands-on senior IC building features end to end at TWINii, an AI app that turns experts' knowledge into conversational digital twins. Day to day: Node.js/Python backend services, LangChain/LangGraph AI orchestration with LangSmith observability, React/Next.js web, plus shipping features in the Flutter mobile app.
A 3-month remote internship for freshers (0–1 year) at CRUV in Bangalore, assisting with building, testing, and deploying AI/ML solutions including chatbots, Generative AI, LLM, and NLP applications. Core stack: Python, NumPy/Pandas, Scikit-learn/TensorFlow/PyTorch, Git, and LLM APIs like OpenAI, LangChain, and Hugging Face.
Senior full-stack developer building features end to end across Projekt Network's Django API, Next.js web app, and React Native mobile apps for a construction-trades networking and job marketplace platform, including owning its AI/LLM-powered features. Remote role (Montreal timezone preferred); requires existing Canadian work authorization.
Founding-team full-stack engineer at a Canada-based AI studio, building and shipping agentic AI products on GCP: Python/FastAPI backends, Next.js frontends, Vertex AI/LangGraph agents, and RAG pipelines across eight live products. Primarily an equity-focused role with a small monthly stipend.
Remote (anywhere in India) senior engineer role at EazyML to research and build agentic, LLM-powered features for its Responsible AI platform: prompt engineering, AI agent design, NLQ-to-SQL, and end-to-end ML pipelines using Python, LangChain/LangGraph, and OpenAI/Llama models.
Designs and deploys secure, production-grade AI agents and RAG services on the Google Cloud AI stack (Vertex AI, Gemini, ADK) — building Python/FastAPI backends, vector-search retrieval pipelines, prompt/tool-calling logic, and LLM evaluation and observability. Requires 6+ years in AI/ML/software with ~3 years in GenAI/LLM work.
Mirian AI is hiring a Founding AI Engineer to build production agentic AI systems that automate accounting work (accruals, reconciliation, journal entries) for PE-backed mid-market companies. The role centers on multi-step LLM pipelines using Python, FastAPI, PostgreSQL, Temporal, Anthropic Claude APIs, and Langfuse on AWS.
Early-stage engineer building IrukaDark, a desktop AI assistant for quick daily tasks like summarizing, translating, and rewriting text. Day to day you develop the cross-platform desktop app, integrate LLM APIs, and polish speed and UX using TypeScript/JavaScript, Electron or Tauri, and AI services.
Hands-on Generative AI engineer building production RAG pipelines and LLM-powered features for a healthcare SaaS clinical assistant. Day to day: experimenting with open-source and hosted LLMs, tuning retrieval/embeddings, running evaluation and hallucination checks, and deploying on AWS/GCP/Azure with Docker/Kubernetes.
TalentRover is hiring its first engineer to architect and build an AI-native recruiting platform for SMB/mid-market hiring from scratch — agents, RAG, multi-tenant backend, and data/ranking infrastructure — in Python, working directly with the three founders and later hiring engineers 2–5. Fully remote with a preference for India-based time zones.
Hands-on AI engineering role at an education platform company in Noida (remote-friendly): design and own the LLM intelligence layer — RAG, agents, model routing, personalization, evaluation, and observability — building production-grade, cost-efficient systems in Python across OpenAI, Anthropic, and Gemini APIs.
Remote contract role building AI-powered products for small and medium-sized businesses — AI agents, RAG systems, voice AI, and AI-driven SaaS — owning features end-to-end from architecture to deployment. Core stack: Next.js/React/TypeScript, Node/Supabase/PostgreSQL, and LLM APIs (OpenAI, Anthropic, Gemini).
An associate-level (2–4 yrs) role at Emplay owning end-to-end delivery of agentic AI automation use cases for enterprise clients: translating business requirements into LLM copilots with RAG pipelines and agent orchestration (LangChain/LangGraph), plus prompt engineering, SQL/Python validation, client communication, and mentoring juniors. Remote (India), ₹12–15 LPA.
First engineering hire at an early-stage, AI-native accounting and financial operations company, working directly with the founder to build AI agent workflows, orchestration layers, and automation infrastructure from scratch. Day-to-day is Python-heavy backend/automation work with APIs, LLM platforms, and internal tooling; $60k-$90k plus 1-5% equity.
Govio.ai is hiring a Senior Full-Stack Engineer to build and scale its customer-facing AI platform, owning features end-to-end across a React/Next.js frontend, Python/FastAPI backend, and production LLM systems (RAG, agents, CI/CD, multi-tenant APIs) in a small, remote-friendly NYC team. Pays $90k–$140k plus 2–7% equity.
A 6-month full-time internship at the intersection of AI engineering and customer deployment: the intern fine-tunes and evaluates ML/LLM models, builds training/evaluation data pipelines, and helps deploy and integrate AI agents into enterprise ERP environments (SAP, Oracle, ERPNext) using Python and APIs.
Finzo AI, a fintech building autonomous AI agents for financial operations, is hiring a 6-month remote Full Stack Developer Intern to build backend services and APIs with Nest.js/TypeScript and Python, plus SQL, AI workflows, and ERP integrations (SAP/Oracle) under senior mentorship, with potential full-time conversion.
Founding applied AI research engineer at an early-stage startup building an AI platform for behavioral healthcare — the role splits between AI research (LLMs, RAG, agents, clinical datasets, publications, federal proposals) and building production AI systems for clinician decision support and digital therapeutics. Core stack: Python, modern LLM/agent frameworks, and cloud platforms. Equity-heavy f
Builds AI-native applications and data pipelines that extract, normalise, and validate trade compliance data (customs duties, VAT/excise, tariff measures) from EU and member-state government sources. Day to day mixes document parsing (structured and unstructured), LLM integration for extraction, PostgreSQL data modelling, and automated testing/validation, with proficiency in at least two programmi
Internship building the AI/ML layer of Eshal AI's enterprise digital-employee platform: hands-on Python work on LLM applications, RAG pipelines, agent workflows, and production APIs. You'll design prompts, work with vector databases and LLM APIs, and ship production AI features.
We couldn't check your fit for this role — add a CV to your profile to see it next time.