# Senior AI Engineer (m/f/d) at Jobgether

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design, deploy and maintain production L

- **Company:** Jobgether (https://jobs.trythestack.co/companies/jobgether)
- **Location:** Romania
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** LLM, RAG, Python, TypeScript, JavaScript, Node.js, Angular, AWS, Docker, Distributed systems, API design, Observability, Vector search, Agentic systems, CI/CD, Software engineering
- **Posted by employer:** 2026-08-31
- **Added to The Stack:** 2026-08-31
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.lever.co/jobgether/f5d0aa81-558c-42ad-a7c9-2c7b73baefa4 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-ai-engineer-mfd-jobgether

## About the role

Responsibilities:
- Design, deploy and maintain production LLM programs integrated into products and internal flows.
- Build backend services, APIs and integrations to operationalize AI capabilities at scale.
- Implement production-ready RAG, embeddings, vector search, agents and tool-calling architectures.
- Develop reusable modules and engineering patterns to improve consistency and delivery speed.
- Set up evaluation frameworks, observability, monitoring and user feedback mechanisms for AI features.
- Optimize for performance, reliability, scalability and inference cost; investigate and resolve production incidents.
- Work with Product and ML teams to prototype quickly and convert validated concepts into robust systems.
- Drive architecture choices, trade-offs and long-term technical sustainability.

Requirements:
- Proven hands-on experience delivering LLM-powered features into production environments.
- Practical familiarity with RAG, embeddings, vector search, agentic systems, LLM APIs and orchestration.
- Strong grasp of production LLM concerns: evaluation, telemetry, failure modes, latency, reliability and cost.
- Excellent software engineering skills (backend, APIs, cloud deployments, Docker, CI/CD) and distributed systems experience.
- Experience with Python and modern web stacks (TypeScript/Node.js) and cloud platforms (e.g., AWS).
- Product-oriented communicator able to collaborate across Product, ML and Engineering.

## Responsibilities

Architect, develop, and maintain production-grade LLM capabilities integrated into customer-facing products and internal workflows. Establish robust evaluation, observability, and monitoring frameworks to ensure the quality, reliability, and scalability of AI systems.

## Requirements

Requires hands-on experience shipping LLM-powered applications into production with expertise in RAG, agents, and vector search. Strong software engineering background is essential, with proficiency in backend services and cloud infrastructure.

## FAQ

- **Is this Senior AI Engineer (m/f/d) role still open?** It was posted on 2026-08-31. Listings more than 30 days old may no longer be active, so check Jobgether's site before applying.
- **Does Jobgether offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Jobgether's site.
- **Where is this role located?** The listing gives the location as Romania. It is marked on-site.
- **What skills does this role ask for?** The listing names: LLM, RAG, Python, TypeScript, JavaScript, Node.js, Angular, AWS, Docker, Distributed systems, API design, Observability, Vector search, Agentic systems, CI/CD, Software engineering.

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## About The Stack

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## Notes for agents

- Apply on the employer's page (https://jobs.lever.co/jobgether/f5d0aa81-558c-42ad-a7c9-2c7b73baefa4). The Stack does not take applications.
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- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
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