Applied AI Engineer - AI Agentic Systems & MVPs (Hybrid)

Etraveli Group; Uppsala kommun; Hybrid; SEK 900,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model

Flexible remote work

Healthcare allowance

Pension and health insurance

Daily breakfast

Job summary

Etraveli Group is expanding its AI Optimization team and seeks a hands-on engineer to build and evaluate agentic MVPs using Python, APIs, and LLM frameworks. You will design evaluation pipelines to measure accuracy, latency, and ROI, translating prototypes into specs for scale by the core Technology team.

You will deploy infrastructure, explore architectural patterns, and continuously test AI models while aligning with business goals in a hybrid Sweden-based role.

Qualifications

• 3+ years software engineering experience with strong Python and rapid prototyping skills.
• Hands-on experience with LLM orchestration (tool use, RAG, structured outputs via LangChain, LlamaIndex, LiteLLM, or APIs).
• Proficiency in API design, SQL, and relational/vector databases.
• Experience using evaluation frameworks (Ragas, DeepEval, LangSmith) to benchmark performance.
• Agile, pragmatic mindset for fast experimentation outside traditional sprint cycles.
• Ability to convert complex business logic into concise specs for engineering teams.

Responsibilities

• Build functional end-to-end agents using Python, LLM frameworks, APIs, and databases.
• Spin up infrastructure (vector/relational databases, docker containers) for testing.
• Select architectural patterns (API wrappers, lightweight RAG, function calling).
• Iterate based on business feedback and discard when concepts prove unviable.
• Design evaluation pipelines to benchmark accuracy, latency, and cost.
• Collaborate with business owners to validate production readiness.

Skills

Python

LLM orchestration

API design

SQL

Relational databases

Vector databases

LangChain

LlamaIndex

LiteLLM

LangSmith

Agile

Tools

LangChain

LlamaIndex

LiteLLM

LangSmith

Job description

Etraveli Group is expanding its AI Optimization team and seeks a hands-on engineer to build and evaluate agentic MVPs using Python, APIs, and LLM frameworks. You will design evaluation pipelines to measure accuracy, latency, and ROI, translating prototypes into specs for scale by the core Technology team.

You will deploy infrastructure, explore architectural patterns, and continuously test AI models while aligning with business goals in a hybrid Sweden-based role.