TealiumHiring

Senior Software Engineer, Applied AI

  • Remote, Poland
  • Full-time
  • Senior
  • Posted 10 days ago
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In one line

Senior role on an insights engineering team, building LLM-powered features for analytics and workflow automation, with the stack running on AWS.

About the role

Ownership covers LLM features from architecture through evaluation and monitoring, working with existing foundation models rather than training new ones. The team ships analytics, recommendations and automation used by enterprise customers.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, Poland
Seniority
Senior
Employment
Full-time
Skills
AWS, Bedrock, Lambda, Kinesis, ECS, EKS
Posted
19 Oct 2026
Last checked
28 Oct 2026

What you will do

  • Take technical ownership of LLM features end to end, from architecture to monitoring
  • Design scalable production systems and AI agents on top of large language models
  • Handle prompt engineering, context retrieval, tool use, guardrails and evaluation
  • Review other engineers' designs and help set technical direction for the team

What they look for

  • Experience taking prototypes through to production-grade systems
  • Familiarity with LLM application work: prompts, retrieval, tool use and evaluation
  • Awareness of data privacy and guardrails in AI features
  • Comfort collaborating with product and platform teams and sharing knowledge

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.

ClaudeConnectorChatGPTConnectorMuseby Meta

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 k6y47ptafb
How to connect

Questions about this job

Can I do this job remotely, and from which countries?

Yes. The posting lists Senior Software Engineer, Applied AI as a remote role for candidates in Poland.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a senior role. The posting asks for: experience taking prototypes through to production-grade systems; familiarity with LLM application work: prompts, retrieval, tool use and evaluation; awareness of data privacy and guardrails in AI features. Skills it names include AWS, Bedrock, Lambda, Kinesis.

How do I apply with Keywordise AI?

Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.

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