Back-End Engineer - Team Agents

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Hybrid From the posting source checked Jun 20, 2026

In-office days

2 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Back-End Engineer - Team Agents Berlin Office | Hybrid | Iasi Office | London Office | Remote About the role Taktile is building a platform for creating, publishing, and executing AI-powered agents that help teams automate complex workflows in financial services. The Agents team owns the agent execution runtime, tool orchestration, and platform infrastructure that makes this possible. We are hiring a Back-End Engineer to help build and ship production features across this stack. You'll work alongside experienced engineers, contribute to real product impact from day one, and grow your skills in a fast-moving, high-ownership environment. Taktile is a hybrid company. This role requires working at least 3 days per week from our Berlin HQ. What You'll Do - Build and ship backend features for Taktile's AI agent platform in Python (FastAPI), deployed on AWS serverless infrastructure. - Own your work end-to-end: collaborate on scope, implement, test, release, and iterate based on real usage and customer feedback. - Improve how agents run, how they connect to external tools, and how they behave when something goes wrong. - Use leading-edge AI tools (e.g. Claude) on a daily basis to move faster, improve quality, and build AI-native capabilities where it makes sense. - Review pull requests with depth, improve test coverage and CI/CD, and raise the bar on reliability and engineering excellence. - Engage actively in team rituals such as daily syncs, planning sessions, demos, and technical deep-dive discussions. - Grow as an individual and accelerate your career by learning from experienced

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