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 apply About Olbrain Labs LLMs 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 role As 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 on Design 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 are 3–4 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 have Prior 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 & commitment Gurugram (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 join You’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 apply Email your story (not your résumé), a short note about the work you’re most proud of, and links to code/projects/demos to smartest-16@olbrain.com . Please include your current CTC.
Job Title: Content & Social Media Intern (Documentarian) Company: Olbrain Labs Location: Sec-65, Gurugram — Strictly on-site, immediate joining (non-negotiable) Type: Internship — Full-time, 2 months Experience : 0-1 Year Stipend: ₹20,000 / month (fixed) About us Olbrain Labs is building The Machine Brain (TMB). We want someone to document our daily work, capture the team, and publish those stories on social media and our blog. What you’ll do (day-to-day) Take photos and short videos of daily activities: demos, meetings, team moments, events. Write short social posts for LinkedIn and X (1–2 daily micro posts). Create 1 weekly feature (400–800 words) about a person, demo, or milestone. Edit photos & short videos for social (basic cropping/color and adding captions). Schedule and publish posts (Notion/WordPress + native socials). Keep an organized folder of assets and collect simple photo-consent from teammates. Work directly with engineers/researchers to write accurate but readable posts. Who should apply Comfortable writing clear, engaging English. Able to shoot decent photos/video with a smartphone and edit them. Knows basic social media best practices (hashtags, captions, tags). Fast, reliable, and can publish often (daily + weekly cadence). Portfolio required: 2 writing samples + 5 photo/video samples (smartphone work is fine). Currently studying or recently graduated in Communications / Media / English / Journalism / related, or equivalent practical experience. Available for immediate on-site joining in Sec-65, Gurugram. Nice to have Experience with Canva/Figma, Notion/WordPress, basic analytics. Prior experience documenting a team, startup or event. How to apply Email: internship@olbrain.com Subject: Content & Social Media Intern — Olbrain Labs Attach: short note about why you want this role + portfolio (2 writing samples, 5 photos/videos). Shortlisted candidates will be called for an on-site task.