[Hiring] AI Architect @Meeru AI Inc

Role Description

We are looking for an AI Architect to help design and build the intelligence engine at the core of our platform, and the conversational AI agents that sit on top of it and serve answers deterministically.

• Our output sits adjacent to externally reported financials. "Sounds plausible" is never good enough.
• The engine you help architect turns connected enterprise data into answers that are computed, reproducible, and traceable to verified source data — not improvised by a model.
• The agents that sit on top interpret what a user is asking, route it to the engine, and present the result in natural language without ever inventing the substance of the answer.
• This is a deeply hands-on architecture role.
• You set technical direction for the engine and agent layer.
• Partner closely with US-based AI leadership and the Staff AI Engineer on grounding and evaluation rigor.
• Raise the bar for how deterministic, auditable AI gets built across the team.

What makes this role different

• Deterministic by design — the engine computes answers from verified data. The same question against the same data returns the same grounded, explainable answer.
• A clear separation of concerns — the engine reasons and decides; the conversational agents orchestrate and narrate, but never fabricate the substance.
• Auditable end to end — every answer traces back to its source data and the logic that produced it, because our customers' auditors will ask.
• Deploys in customer clouds — including managed LLMs in-VPC, so customer data never leaves their environment.

Qualifications

• Senior or staff-level applied AI/ML experience.
• Deep fluency in modern LLM patterns.
• Hands-on experience with retrieval-augmented generation (RAG), tool-using agents, and structured output (e.g., JSON schemas, function calling).
• Agent orchestration experience, including building multi-step agent workflows with LangGraph or a similar framework.
• Systems architecture skills — design an engine, its data interfaces, and the agent layer as one coherent, maintainable system.
• Experience with grounding, hallucination control, and evaluation.
• Understanding of determinism on top of probabilistic models.
• Clear judgment about what a model can legitimately claim.
• Production software engineering in Python.
• Structured data and retrieval tooling knowledge.
• Technical leadership experience — mentor engineers and run design reviews.
• Strong communication skills.
• Location and working hours flexibility — based in Hyderabad (preferred) or remote elsewhere.
• Flexible engagement options — open to full-time, contract, or contract-to-hire.

Requirements

• Experience shipping production AI systems, not just prototypes.
• Ability to document decisions (e.g., architecture decision records).
• Experience measuring faithfulness and hallucination with automated evaluations.
• Comfort with containerized deployment.
• Working knowledge of vector stores (pgvector, Pinecone, Weaviate, or Qdrant).

Nice-to-Haves

• Experience in finance, accounting, or other audited domains.
• Knowledge of knowledge graphs and reasoning engines.
• Experience designing human-in-the-loop systems.
• Hands-on experience with managed LLMs inside customer clouds.
• Experience shipping AI to AWS, Azure, and GCP.
• Experience with AI observability.