AI Agents Intern

9 hours ago

Chennai, Tamil Nadu, India Marcus Intelligence Full time ₹ 12,00,000 - ₹ 36,00,000 per year

About Marcus Intelligence:Marcus Intelligence builds AI-native platforms for real-world engineering. We're now on a mission to push the boundaries of agentic automation—combining distributed LLMs, vision, and reinforcement learning into end-to-end autonomous QA and development systems.Role Description:We need someone who has already built, led, or shipped multi-agent systems at scale, ideally with modern frameworks (LangGraph, LangChain, CrewAI, OpenAgents) and real knowledge of the tradeoffs in agent architecture.What You'll Own:Architect, implement, and scale multi-agent workflows for autonomous software QA/testingBuild and optimize LangGraph-based orchestrators (or similar), dynamically managing LLMs, utility agents, annotators, and feedback loopsDrive research→deployment: rapidly prototype and ship agentic RL/self-healing, tool-calling, and hybrid-memory integrationsMentor and code-review junior AI/infra teammates, guiding best practices for parallelism, persistence, security, and traceabilityIntegrate agent pipelines with CI/CD, vector stores, and log/monitoring stacks (e.g., Redis, Pinecone, OpenTelemetry)Must-Have Skills:deep experience shipping agentic LLM/AI workflows (not tutorials; real production)Expert with LangGraph/LangChain (incl. custom graph topologies, step handlers, streaming, persistent memory)Solidity with async orchestration, task queues, distributed systems (FastAPI, Celery, or event-native stacks)Hands-on with cross-agent state sharing, error isolation, and message routingSolid Python (>=3.10), with strong design and debugging habitsAbility to self-manage, engineer under ambiguity, and document for othersGood to Have:Real vision for long-running stateful agents (agents that persist across sessions/runs)Prior work on agentic RL/self-healing, or at least background in agentic PEFT techniquesExposure to advanced tool calling, sandboxing, or mechanical feedback (memory, retrievers)OSS contributions in agentic LLM frameworks (link portfolio/GitHub)Offer:Be the core designer and builder of Marcus Intelligence's next-gen agent layerFreedom to experiment, build, and shape system architecture from MVP to scaleFlexible remote/contractor options (if working from India timezone or willing to overlap)If desired, opportunity to transition to founding engineer, with equity and technical leadershipCompensation:First 2 months may be unpaid/trial (if part-time or contract), with clear paid/equity pathway after mutual fit/proven impactWill pay top-of-market for the right person, including incentives for OSS/community value

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