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.
Moneyview is hiring an SDE I - AI Engineer (1-2 years experience) in Bangalore to build AI features using Python, RAG, MCP, evals, AI memory, and Langchain, including fine-tuning and building small language models. Prior Java experience is a plus.
Antrino Labs, a Swedish seed-stage startup backed by Nvidia, Microsoft and AWS, is hiring an AI Backend Engineer (fully remote within India) to build the Python/TypeScript backend services, graph-to-execution-plan compiler/runtime, and LLM-driven Agent behind its computer-vision platform, using FastAPI, PostgreSQL/Supabase, and real-time video pipelines.
Senior Java Developer (7+ yrs) at UST building services around Agentic AI and GenAI: day-to-day work spans Core Java, Spring Boot microservices, REST APIs, Kafka, and Docker/Kubernetes, plus LLM-driven agents using LangChain/LangGraph, prompt engineering and RAG. Immediate joiners preferred; open to any UST location.
A Noida-based DevOps engineer who owns repository governance, CI/CD pipelines, and infrastructure as code (GitHub Actions/GitLab CI/Azure DevOps, Docker, Kubernetes, Terraform) while building AI-driven coding, testing, and code-review agents using tools like Claude Code, the Anthropic SDK, and GitHub Copilot.
Senior Python developer building GenAI/LLM-powered applications: designing RAG architectures, multi-agent workflows with LangGraph, integrating LLMs with vector databases (Chroma, FAISS, Pinecone), and deploying on AWS (Lambda, S3, DynamoDB, CloudWatch) and Kubernetes. Immediate joiners preferred; open to any UST location including Bangalore.
Gleantap is hiring a backend engineer to maintain and improve its existing PHP SaaS backend while building AI-native features: Python-based AI agents, LLM integrations (OpenAI/Claude/Gemini), RAG with vector databases, and ETL/data pipelines powering ML-driven product capabilities.
Hands-on technical lead building and deploying production Python AI applications — LLM integrations, RAG pipelines, agentic systems, and backend APIs — while mentoring developers. Core stack: Python (FastAPI/Flask/Django), LangChain/LangGraph, OpenAI/Azure OpenAI, vector databases, and AWS/Azure/GCP.
Senior .NET full stack developer (7-10 yrs, remote in India) building enterprise cloud-native apps with C#/.NET Core, REST APIs and microservices, plus React frontends and AI-powered features using LLMs, RAG, and agentic AI frameworks on Azure.
Backend developer role (5+ yrs) in Kochi building and maintaining scalable Python/FastAPI services — REST APIs, microservices, PostgreSQL, AWS, Docker and CI/CD — with GenAI work integrating LLM APIs (OpenAI, AWS Bedrock, LangChain, RAG, vector databases).
Python Developer in Hyderabad building backend infrastructure and agentic AI features — memory layers, RAG pipelines, and ontologies for an AI co-pilot aimed at logistics professionals. Core stack: asynchronous Python (FastAPI/Pydantic), LangGraph/DSPy/LangChain, vector databases, and GCP.
UST is hiring a hands-on full-stack developer to build Python backends (FastAPI/Flask/Django) and React frontends, with mandatory Agentic AI/LLM work: AI agents, RAG pipelines, prompt engineering, and LLM API integration with vector databases. Immediate joiners preferred; any UST location in India.
UST is hiring a Python Developer to build Agentic AI/Generative AI applications using frameworks like LangChain, LangGraph, CrewAI, and AutoGen, deploying on AWS/Azure/GCP with CI/CD pipelines (Jenkins, GitHub Actions), REST APIs, Docker, and microservices. Requires 7+ years of experience and immediate availability.
Senior Python Developer in Chennai building scalable backend platforms, IoT solutions, and data-driven applications. Day to day: designing Django/DRF APIs and event-driven systems using MQTT, Kafka, Redis, and Snowflake, with growing involvement in AI agent frameworks like LangChain and CrewAI.
Senior Python developer at Teceze in Chennai (office/hybrid) building scalable backend services, REST APIs, and SaaS platforms, including AI/LLM-driven features like RAG pipelines and vector search. Core stack: Python (FastAPI/Django/Flask), PostgreSQL/MongoDB/Redis, AWS/Azure/GCP, Docker, CI/CD, with mentoring and architecture duties.
Builds websites, dashboards, AI tools, internal systems, and MVPs from scratch as an in-house engineer at pharma company Ajanta Pharma in Andheri, Mumbai, owning projects end-to-end. Core stack is JavaScript/TypeScript with React/Next.js, Node.js backends, and heavy use of AI coding tools like Claude Code, Cursor, and Copilot.
Build and own the data foundation for Anthropic's quote-to-cash lifecycle, designing canonical data models from Salesforce, CPQ, and billing systems so GTM and Finance teams get reliable, self-serve analytics. Core stack: SQL, Python, dbt, Airflow, GitHub, and Hex.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of…
Senior hands-on AI Solutions Architect (remote, based in Mexico) who designs, builds, and operates internal AI solutions — AI agents, RAG pipelines, and Microsoft 365/Copilot integrations on Azure. The role splits roughly 50/50 between technical delivery and business engagement, from discovery through production, governance, and cost control.
Senior Software Developer building AI-powered offensive security tooling — agentic workflows, RAG/vector retrieval, and production APIs supporting Red Team operations from recon to reporting. Requires 4+ years backend engineering with agent frameworks (LangGraph, OpenAI Agents SDK), AI observability tooling, AWS/Azure, Docker/Kubernetes; Toronto-based hybrid role.
**Software, the fuel for mobility** We bring bold digital visions to life. So we’re on the lookout for more curious and creative engineers who want to create change – one line of high-quality code at a time. Our…
We couldn't check your fit for this role — add a CV to your profile to see it next time.