Founding Engineer

Founding Engineer — The Machine Brain (TMB) Company: Olbrain Labs Location: Gurugram (strictly on-site) Type: Full-time — Founding engineering role Experience: 3–4 years (early-career) Compensation: ₹50,00,000 – ₹75,00,000 LPA (total package) — up to ₹1,00,00,000 for exceptional candidates Education: CS degrees preferred; candidates from top-tier institutes encouraged to applyAbout Olbrain LabsLLMs are superb reasoners, but reasoning alone does not produce a persistent self. Olbrain Labs is building The Machine Brain (TMB): the substrate that gives agents a persistent identity — memory, self-models, beliefs, values and drives — so they can act with continuity, accountability, and trustworthiness over time. We’re hiring a founding engineer to focus on the representation, persistence, and lifecycle of machine identity — the part of the brain that answers “who is this agent?” across interactions, sessions, and embodiments. The roleAs a Founding Engineer on TMB you’ll own how persistent identity and selfhood are engineered. You will design representations and systems that let agents remember who they are, revise beliefs coherently, maintain consistent values, and present a stable, accountable identity across channels and lifetimes.What you’ll work onDesign the Identity Substrate : durable, queryable representations for self (memory graphs, profile/state models, versioned self-models). Build identity lifecycle management: creation, evolution, reconciliation, merging, and archival of identity across sessions and modalities. Implement belief representation and revision mechanisms that support long-term coherence and Recursive Belief Revision-like flows. Anchor values, drives, and commitments to identity so agents act consistently and are auditable. Integrate persistent identity with LLM-based reasoning, multi-agent frameworks, and model orchestration to enable stateful decision-making. Define storage, retrieval, and consistency models (vector + symbolic hybrid retrieval, identity sharding, eventual/strong consistency tradeoffs). Build APIs, SDKs, and event contracts that expose identity, history, and provenance to agentic platforms. Design observability, testing, and safety controls for identity: explainability, privacy, reconciliation, and rollback. Productionize pipelines that convert experimental identity models into scalable, robust services. Collaborate closely with research to translate cognitive models into production systems and measurable guarantees. Who you are3–4 years of hands-on experience building AI systems, LLM products, knowledge graphs, or stateful infrastructure. Strong background in Python and practical experience with embedding frameworks, vector DBs, and knowledge-graph tooling. Demonstrable experience designing data models for long-lived state, memory systems, or complex graph structures. Systems-minded: you can design for durability, latency, scale, and recoverability in distributed environments. Comfortable integrating symbolic and vector approaches to retrieval and reasoning. Product-oriented: pragmatic engineer who ships, measures, and iterates. Excellent communication skills: you can translate cognitive/academic concepts into engineering specifications. CS degree preferred; candidates from top institutes encouraged to apply. Strong project work (portfolio, GitHub, papers, demos) can substitute for formal credentials. Nice to havePrior work on identity systems, user modeling, or persistent agent state. Experience with model serving and lifecycle infra, hybrid vector-symbolic retrieval, or multi-agent coordination. Familiarity with Rust/Go/C++ for performance-critical components. Background in privacy/security and accountable system design for long-lived state. Location & commitmentGurugram (strictly on-site) Full-time, founding engineering role with high ownership and impact Compensation & equity₹50,00,000 – ₹75,00,000 LPA (total package), negotiable up to ₹1,00,00,000 for exceptional candidates ESOPs / long-term incentives available for early team members Why joinYou’ll be a core architect of what “self” means for artificial agents — not just building reasoning components but creating the persistent identity that makes agents reliable, accountable, and human-compatible.How to applyEmail your story (not your résumé), a short note about the work you’re most proud of, and links to code/projects/demos to . Please include your current CTC.