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AI Agents Engineer - Python, FastAPI, RAG & Tool Calling (On-site Bay Area)

  • AI Agents Engineer - Python, FastAPI, RAG & Tool Calling (On-site Bay Area) job type Posted on: Nov 10, 2026
  • AI Agents Engineer - Python, FastAPI, RAG & Tool Calling (On-site Bay Area) experience level MaxIT Consulting - Max Corporate Group
  • AI Agents Engineer - Python, FastAPI, RAG & Tool Calling (On-site Bay Area) employment type Los Altos, California
  • AI Agents Engineer - Python, FastAPI, RAG & Tool Calling (On-site Bay Area) employment type Remote
  • AI Agents Engineer - Python, FastAPI, RAG & Tool Calling (On-site Bay Area) salary Full-time

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Job Title :

AI Agents Engineer - Python, FastAPI, RAG & Tool Calling (On-site Bay Area)

Job Type :

Full-Time

Job Location :

Los Altos California United States

Remote :

Yes

Jobcon Logo Job Description :

Job Description

Job Description

Los Altos, CA (San Francisco Bay Area) | On-site | Full-time

MaxIT Consulting is looking for a Backend Engineer, Applied Agents to join a venture-backed, early-stage AI company building an AI-native operating system for drug development programs, already used by leading biopharma companies.

The Opportunity

You will design, build and operate the agent layer and the backend systems that power it: agents that carry out multi-step tasks inside real workflows, call tools reliably, run code in sandboxed environments, keep context and deliver verifiable results.

Key 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.
Required 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 (Claude Code, Cursor) daily.
Nice to Have
  • Built an in-house agentic harness or internal tools to boost a team's agentic development.
  • LangGraph or agent frameworks in production; AWS, Terraform and Kubernetes.
  • Enterprise SaaS, healthcare or life sciences products; seed or early-stage startup experience.
Work Arrangement

On-site role in Los Altos, CA (San Francisco Bay Area); fully remote is not possible. Candidates must live in or relocate to the Bay Area and must already be authorized to work in the United States.

HOW TO APPLY

Apply through this same channel with your updated resume and your expected gross annual base salary in USD.

Jobcon Logo Position Details

Posted:

Nov 10, 2026

Reference Number:

8eaaf3e0

Employment:

Full-time

City:

Los Altos

Job Origin:

ziprecruiter

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Job Description

Job Description

Los Altos, CA (San Francisco Bay Area) | On-site | Full-time

MaxIT Consulting is looking for a Backend Engineer, Applied Agents to join a venture-backed, early-stage AI company building an AI-native operating system for drug development programs, already used by leading biopharma companies.

The Opportunity

You will design, build and operate the agent layer and the backend systems that power it: agents that carry out multi-step tasks inside real workflows, call tools reliably, run code in sandboxed environments, keep context and deliver verifiable results.

Key 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.
Required 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 (Claude Code, Cursor) daily.
Nice to Have
  • Built an in-house agentic harness or internal tools to boost a team's agentic development.
  • LangGraph or agent frameworks in production; AWS, Terraform and Kubernetes.
  • Enterprise SaaS, healthcare or life sciences products; seed or early-stage startup experience.
Work Arrangement

On-site role in Los Altos, CA (San Francisco Bay Area); fully remote is not possible. Candidates must live in or relocate to the Bay Area and must already be authorized to work in the United States.

HOW TO APPLY

Apply through this same channel with your updated resume and your expected gross annual base salary in USD.

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