
AI Native Service Architect
2 semanas atrás
We are seeking a skilled Senior AI Engineer to join our team. This role combines applied AI/ML expertise with strong back-end engineering skills, ensuring scalable, secure, and production-ready AI-native services.
">Key Responsibilities:
- Design and implement AI systems that transform the utility sector.
- Develop back-end integration APIs, microservices, and orchestration frameworks.
- Own the complete AI pipeline ingestion, embeddings, retrieval, evaluation, and continuous deployment.
- Address vulnerabilities unique to AI, such as model drift, bias exploitation, adversarial robustness, and hallucination control.
Required Skills and Qualifications:
- Excellent English communication skills
- 5+ years of applied ML/AI engineering experience, ideally with exposure to enterprise/mission-critical systems.
- Strong proficiency in Python and either Golang, Node.js, or Java (non-Golang developers will learn and adopt Golang on the job).
- Expertise with ML/LLM frameworks, such as PyTorch, TensorFlow, LangChain, or equivalent.
- Experience with vector databases, orchestration frameworks, and modern MLOps practices.
- Track record of deploying AI services in production.
- Strong grounding in cloud-native architectures (AWS, GCP, Azure).
Ideal Candidate:
- A team player who enjoys collaboration and open communication.
- Comfortable with uncertainty and able to adapt quickly.
- Passionate about innovation and eager to take ownership of their work.
- Committed to continuous learning and professional growth.
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