Applied AI Engineer
5 Jun 2025
Verified by Turrior
Content + Source + Freshness • 16 Dec 2025 • 95% confidence
75 / 100
Offer value
Job offers moderate value with a focus on impactful AI projects but lacks comprehensive information about salary and benefits.
- Hands-on role in a tech-focused environment.
- Opportunity to contribute to impactful AI projects.
- Lack of clear salary and benefits information may be a concern.
Pros
- Involvement in transforming business challenges into AI solutions.
- Opportunity for hands-on work with real-time applications.
- Collaboration with cross-functional teams.
Cons
- No clear salary range or benefits provided.
- Potential high workload in a fast-paced environment.
- On-site work expected may deter some candidates.
Who it's for
Mid-level • On-site
Good fit
- Mid-level software engineers interested in AI.
- Individuals excited by collaborative tech environments.
- Professionals who appreciate direct project impact.
Not recommended for
- Inexperienced candidates looking for guidance.
- Job seekers preferring remote flexibility.
- Those averse to a dynamic and changing work setting.
Motivation fit
Interest in direct impact through AI technologies.Willingness to engage deeply with technical challenges.Desire to work in a team-centric environment.
Key skills
Software developmentAI/ML applicationsCollaborationProblem-solving
Score: 75/100 AI verified analysis
About the job
Job Summary
As an Applied AI Engineer, you’ll work closely with customers and internal teams to translate business problems into AI-driven solutions. You’ll be hands-on with AI workflows, and help bridge the gap between model capabilities and real-world impact.
Responsibilities
- Implement workflows and configure model behavior for customer solutions.
- Build integrations between AI logic and deterministic building blocks.
- Work with platform and research teams to surface platform-level improvements.
Requirements
- 4+ years experience in software engineering or research roles.
- Experience building or integrating LLM-based solutions.
- Ability to rapidly understand complex domains and translate them into structured prompts.
- Comfortable working with real-time applications and production systems.
Nice to Have
- Experience working with AI or LLM-based applications.
- Experience working with B2B or enterprise customers.
If you’re a strong, independent builder who thrives on ownership, cares deeply about quality, and wants to have a real impact — we’d love to meet you.
