AI Engineer

AI Engineer at Confie

The AI Engineer is responsible for designing, developing, and deploying production-grade AI solutions including autonomous agents, generative AI applications, and RAG-based systems. This role leverages large language models, agentic frameworks, and advanced machine learning techniques to automate workflows, improve customer experiences, and drive business innovation.

Essential Duties & Responsibilities

• Design and deploy autonomous AI agents using frameworks like LangGraph, AutoGen, CrewAI, or OpenAI Assistants API.
• Implement function calling, tool use, and API integrations with enterprise systems.
• Design agent memory systems for conversational memory and context management.
• Build advanced RAG systems with vector databases and hybrid search techniques.
• Develop generative AI for text generation, summarization, transcription, and call center insights.
• Utilize advanced prompting strategies including chain-of-thought and few-shot learning.
• Integrate with platforms like Snowflake Cortex, OpenAI, Azure AI Studio, AWS Bedrock, and Anthropic Claude.
• Implement AI observability, guardrails, and evaluation frameworks to ensure quality and safety.
• Experiment and fine-tune models using techniques such as LoRA and QLoRA.
• Deploy solutions using containerization (Docker, Kubernetes), CI/CD and cloud-native architectures.
• Continuously monitor and improve AI solution performance.
• Create design documentation including architecture diagrams and rationale.
• Collaborate with cross-functional teams to identify high-impact AI opportunities.
• Mentor junior team members and maintain high quality engineering standards.
• Stay updated with advances in AI technology and best practices in data privacy and security.

Qualifications

A minimum of 3 years of professional experience in AI engineering is required, with expertise in AI/ML solution development on platforms like Snowflake, Azure, AWS, OpenAI, and Databricks. Hands-on experience with Generative AI, LLM applications, and production deployments is essential, along with proficiency in Python, LangChain/LlamaIndex, and vector databases.

Soft Skills & Preferred Skills

Strong analytical, problem-solving, and communication skills are needed. The candidate should be self-motivated, creative, well-organized, and have a continuous learning mindset. A Bachelor's or Master's degree in Computer Science or related field and relevant certifications are preferred.

Other Information

This role offers benefits such as generous PTO, annual bonus, work from home/hybrid model, enablement funds, recognition programs, and corporate social responsibility programs. Confie uses advanced AI systems for various employment decisions. For questions regarding AI use, contact Human Resources at employeerelations@confie.com.

Key Skills/Competency

Autonomous AI, Generative AI, RAG systems, LLM, Python, Containerization, Cloud Platforms, Prompt Engineering, Vector Databases, Evaluation Frameworks