AI Agents Engineer — Python, RAG & Tooling (Bay Area)

MaxIT Consulting - Max Corporate Group; Los Altos (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

MaxIT Consulting - Max Corporate Group in Los Altos, CA is seeking a Backend Engineer, Applied Agents to join a venture-backed, early-stage AI company building an AI-native operating system for drug development programs. You will design, build and operate the agent layer and backend systems powering multi-step tasks inside real workflows.

The role emphasizes building runtime and tooling, ensuring reliability, creating APIs with Python, FastAPI and Postgres, and grounding AI outputs with

Qualifications

• 2+ years shipping and operating production backend systems end to end.
• Strong fundamentals in API design, data modeling, databases and system reliability.
• Hands-on production experience with LLM systems: RAG, vector databases and agents.
• Has built, or deeply traced, an agent runtime or harness: tool calling, sandboxing, memory.
• Ships fast on incomplete specs and uses AI coding tools daily.

Responsibilities

• Build the agent runtime and harness, tool-calling infrastructure, sandboxed code execution and agent memory.
• Own reliability and observability of multi-step agent tasks.
• Design and build backend services and APIs on Python, FastAPI and Postgres.
• Design and operate vector databases, semantic search and RAG systems, tuning quality and latency.
• Build large-scale ingestion, cleaning and indexing pipelines for scientific and regulatory documents.
• Ground AI outputs in source data with traceable, verifiable citations.
• Work directly with founders, domain experts and early customers, owning outcomes.

Skills

API design

Data modeling

Databases

System reliability

LLM systems

Vector databases

Agent runtime

Tool calling

Sandboxing

Memory

AI coding tools

Tools

Claude Code

Cursor

Job description

MaxIT Consulting - Max Corporate Group in Los Altos, CA is seeking a Backend Engineer, Applied Agents to join a venture-backed, early-stage AI company building an AI-native operating system for drug development programs. You will design, build and operate the agent layer and backend systems powering multi-step tasks inside real workflows.

The role emphasizes building runtime and tooling, ensuring reliability, creating APIs with Python, FastAPI and Postgres, and grounding AI outputs with