The Role
As SDE Agentic AI, you'll design and ship autonomous AI systems that power real user experiences across two distinct product domains. You'll own everything from memory architecture to multi-agent orchestration reasoning deeply about why agents fail and building systems that don't.
What You'll Build
You'll own the full spectrum of agentic experiences from intimate one-on-one companion interactions to large-scale interactive entertainment and learning flows :
- Persistent Memory Agents long-term recall of user preferences, emotional milestones, relationship history, and behavioural patterns across sessions using layered vector + episodic memory stores
- Emotional Context Synthesis agents that continuously model a user's emotional state from conversation signals and adapt tone, pacing, and depth of engagement in real time
- Proactive Engagement Agents systems that detect disengagement signals, relationship drift, or mood shifts and autonomously initiate contextually appropriate interactions
- User Intent & Goal Tracking multi-session agents that track evolving user goals (wellness, learning, entertainment) and surface timely nudges or check-ins
- Persona Consistency Engine retrieval-augmented pipelines that keep AI character personality, memory, and voice stylistically coherent across thousands of concurrent users
- Knowledge Synthesis Agents systems that dynamically assemble and compress information from multiple sources into coherent, engaging narratives tailored to a user's knowledge level
- Interactive Learning Agents conversational agents that guide users through structured learning paths, adapt difficulty in real time based on comprehension signals, and proactively fill knowledge gaps
- Tonality Synthesis agents that modulate emotional register, energy level, and cultural flavour of generated content from playful and casual to authoritative and instructive
- Learning Retention Agents spaced repetition and active recall systems embedded in entertainment flows, so users absorb knowledge without feeling like they're studying
- Live Interaction Agents event-driven agents that respond to real-time signals (live sessions, audience reactions, quiz events) with contextually intelligent interventions
Must-Have
What We're Looking For :
- 2 to 5 years of hands-on software engineering experience
- Deep fluency in agentic AI concepts ReAct loops, tool use, planning, self-reflection, multi-agent orchestration, agent failure modes
- Strong grasp of memory architecture short-term buffers, long-term vector stores, episodic vs. semantic vs. procedural memory, and hybrid retrieval strategies
- Production experience with vector embeddings semantic search, dense + sparse hybrid retrieval, re-ranking, and embedding evaluation
- Hands-on with at least one agent framework LangGraph, CrewAI, AutoGen, or equivalent and the depth to go beyond them when needed
- Solid Python and comfort with frontier LLM APIs (OpenAI, Anthropic, Gemini, or open-source)
- Experience building RAG pipelines chunking, metadata filtering, query transformation, eval-driven iteration
Good To Have
- Experience with multilingual NLP especially Hindi / Hinglish language understanding and generation
- Familiarity with voice AI pipelines (STT - LLM - TTS) and low-latency agentic integration
- Prior work in consumer AI with real user traffic at scale
- Exposure to personalisation systems user embeddings, preference modelling, collaborative filtering
- Knowledge of graph databases (Neo4j, Memgraph) for relationship-aware memory or knowledge graphs
(ref:hirist.tech)
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