Engineering Manager

Engineering Manager at Conservice

• Knowledge of AI/ML technologies and architectures including: LLM integration and deployment, vector databases (Pinecone, Weaviate, Chroma), RAG (Retrieval-Augmented Generation) systems, model serving platforms, and AI orchestration frameworks (Lang Chain, Llama Index, etc.)
• Experience with the Conservice technology stack as it applies to AI systems:
  Microservices, .Net Core, C#, React, Single Spa, Postgre
  
  SQL, Azure AI services, Docker, ML pipelines, AI model deployment, data pipelines, and real-time inference systems.
• Understanding of MLOps practices including model versioning, A/B testing for models, monitoring and observability for AI systems, and CI/CD for machine learning.
• Familiarity with responsible AI practices, bias detection and mitigation, model explainability, and AI governance frameworks.
• Demonstrate and drive the adoption of advanced knowledge of AI/ML engineering practices, including experiment tracking, model evaluation metrics, prompt engineering strategies, and testing methodologies for non-deterministic systems.
• Established track record of being the go-to person for AI/ML initiatives, able to navigate both the technical complexities and organizational change management required for AI adoption.
• Experience optimizing AI development processes including experimentation workflows, model training pipelines, and deployment strategies to ensure efficient iteration and production reliability.
• Strong communication skills with the ability to explain AI/ML concepts, model behavior, limitations, and risks in ways that make sense to customers, executives, and non-technical stakeholders.
• Ability to adjust and adapt to the rapidly evolving AI landscape, communicating effectively about new capabilities, changing best practices, and strategic pivots in AI technology.
• Show that you have the ability and desire to mentor others in AI/ML skills, from foundational concepts to advanced techniques.

• Have hands‑on experience building and deploying LLM‑based applications, implementing RAG architectures, or fine‑tuning models for domain‑specific applications.
• Experience with AI platforms and tools such as OpenAI API, Azure OpenAI, Anthropic Claude, Hugging Face, or similar.
• Background in deploying AI systems in regulated industries or environments requiring high reliability and explainability.
• Demonstrate extraordinary communication skills for discussing AI capabilities and limitations with engineers, executives, customers, and everyone in between.
• Convince us that you have successfully led measurable improvements in AI/ML team execution, model performance, or platform maturity, and that you have the passion to drive AI innovation at Conservice.
• Show that you anticipate challenges unique to AI systems—such as data quality issues, model drift, ethical concerns, or scalability bottlenecks—and proactively provide solutions.
• Share stories about how you've led teams through the uncertainty of AI development, helped them learn rapidly in a fast‑moving field, and delivered production AI systems that created real business value.

Mid‑Senior level

Full‑time

Information Technology

Utilities