Senior AI Engineer

Accountabilities • Design, develop, and maintain AI agents and LLM-powered applications using Python and AWS services.

• Implement and optimize prompt engineering, agent orchestration, structured outputs, and intelligent decision-making workflows.

• Develop evaluation frameworks to measure agent accuracy, reliability, consistency, and overall performance.

• Establish performance baselines, automated tests, and regression validation processes to assess changes in agent behavior.

• Implement guardrails and validation mechanisms to promote safe, accurate, and reliable AI-generated outputs.

• Build intelligent information retrieval, filtering, ranking, and selection strategies using LLMs.

• Investigate and resolve issues involving hallucinations, incorrect interpretations, and inconsistent agent responses.

• Develop end-to-end AI features that integrate LLMs with backend APIs, document processing, and cloud infrastructure.

• Improve agent observability through execution tracing, session tracking, and production monitoring.

• Collaborate with engineering and product teams to deliver scalable, production-ready AI solutions.

• Optimize LLM performance, latency, and operational costs through experimentation and measurable improvements.

Requirements:

• Solid professional experience in AI engineering, machine learning engineering, or software development involving production AI applications.

• Strong proficiency in Python, including experience developing APIs, integrations, and automated tests.

• Hands-on experience building applications powered by Large Language Models (LLMs) and implementing agentic AI workflows.

• Experience with prompt engineering, LLM orchestration, and structured output generation.

• Practical experience evaluating LLM outputs, designing testing strategies, and measuring AI application quality.

• Understanding of LLM limitations, including hallucinations, response variability, and reliability challenges.

• Experience with AWS services such as Bedrock, Lambda, S3, CloudWatch, or similar cloud technologies.

• Strong knowledge of software engineering best practices, CI/CD, and cloud-based application development.

• Strong analytical, troubleshooting, and problem-solving skills, particularly when investigating complex agent behavior.

• Advanced or fluent English communication skills, both written and verbal, to collaborate effectively in a remote environment.

Benefits:

• Health and dental insurance.

• Meal and food allowances.

• Childcare assistance.

• Extended paternity leave.

• Gym, fitness, and wellness partnerships through platforms such as Wellhub (Gympass) and TotalPass.

• Profit Sharing and Results Participation (PLR).

• Life insurance.

• Access to a continuous learning platform.

• Discount club membership.

• Online resources supporting physical, mental, and overall well-being.

• Pregnancy and responsible parenting courses.

• Partnerships with online learning platforms.

• Access to a language-learning platform.

• Remote work arrangement.

• Additional benefits and employee support initiatives.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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