JabilHiring

Python & Java Full Stack Developer

  • Remote, United States
  • Senior
  • Posted 8 days ago
In one line

Full stack role building AI-assisted platforms for manufacturing test and debug automation, spanning cloud, Python and Java services, LLM workflows and an Angular frontend.

About the role

Features here run end to end, from AWS infrastructure and event-driven backends through an agentic LLM pipeline to the web frontend. Engineers use AI coding agents as tools, but still write and review code themselves.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
Python, Java, AWS, Amazon Bedrock, Angular, Lambda, RAG, TypeScript
Posted
21 Oct 2026
Last checked
28 Oct 2026

What you will do

  • Ship features across AWS infrastructure, Python and Java services, LLM workflows and Angular UI.
  • Build agentic workflows on Amazon Bedrock with tool calling, RAG, prompts and fallbacks.
  • Own backend services in Python serverless (Lambda, event-driven) and Java microservices.

What they look for

  • Can read, debug and correct generated code, and justify architecture choices without a tool's help.
  • Break features into specs, designs and tasks that people and agents can execute against.
  • Set up reusable agent capabilities like skills, steering docs and custom tools to encode team standards.
  • Give agents the right context and validate their output instead of trusting it.

Nice to have

  • Experience building systems without AI and knowing when to skip the agent.

How Keywordise applies for you

  1. 1Upload your CVAdd your CV once. It takes about a minute.
  2. 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
  3. 3The form fills itselfName, email, experience and screening questions, field by field.
  4. 4Application sentYou get a receipt and follow it in your dashboard.

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Connect Keywordise to your assistant once, then send it the prompt. It applies for you.

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.

Muse is available in the US only for now.

Prompt
Apply to Keywordise job ybpbnh546q
How to connect

Questions about this job

Is this job fully remote, and from where?

The posting lists it as remote for people in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: can read, debug and correct generated code, and justify architecture choices without a tool's help; break features into specs, designs and tasks that people and agents can execute against; set up reusable agent capabilities like skills, steering docs and custom tools to encode team standards. Skills it names include Python, Java, AWS, Amazon Bedrock.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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