AI Engineer – Advanced Experience

Decca Consulting LLC; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Opportunity for advancement

Paid time off

Parental leave

Training & development

Vision insurance

Wellness resources

401(k)

Dental insurance

Job summary

Decca Consulting LLC is seeking an Artificial Intelligence Engineer III to design, deliver, and own production-grade AI systems addressing high-impact business problems. This role applies advanced software, data science, machine learning, and LLM engineering to build AI-powered apps, model-driven solutions, and automated workflows.

The AI Engineer III operates with a high degree of autonomy, making architectural and technical decisions while ensuring solutions are reliable, secure, and aligned

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related field, or equivalent practical experience.
• 5+ years of professional experience spanning software engineering, data science, ML engineering, or AI system development.
• Advanced proficiency in software engineering, including Python, APIs, testing, and system design.
• Experience with large scale data platforms such as Snowflake, Databricks, Redshift, Synapse.
• Strong applied knowledge of ML/AI concepts, evaluation techniques, and failure modes.
• Hands-on experience designing, building, and deploying LLM-based systems using enterprise-grade platforms.
• Experience with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel.
• Deep understanding of data quality, feature relevance, and model behavior across data types.
• Experience deploying, monitoring, and iterating on AI systems in production.

Responsibilities

• Designs and owns end-to-end AI solutions, including LLM-based applications and hybrid models.
• Builds and operates complex AI systems like agentic workflows and RAG platforms.
• Evaluates business problems and selects AI patterns and architectures.
• Defines evaluation strategies, metrics, and feedback loops for model impact.
• Leads data pipelines, feature strategies, and evaluation datasets for AI systems.
• Owns production readiness including performance, reliability, and observability.
• Mitigates risks related to bias, data leakage, and AI behavior.
• Collaborates with product, platform teams, and stakeholders on solution design.
• Mentors and guides other team members and contributes to standards.

Skills

Python

APIs

Testing

System design

ML concepts

Production AI

LLM systems

AI orchestration frameworks

Data quality

Observability

Education

Bachelor’s degree in Computer Science/Software/ Data Science

Tools

Snowflake

Databricks

Amazon Redshift

Microsoft Synapse

LangChain

LangGraph

LlamaIndex

Semantic Kernel

Job description

Benefits

• Health insurance
• Opportunity for advancement
• Paid time off
• Parental leave
• Training & development
• Vision insurance
• Wellness resources
• 401(k)
• Dental insurance

Position: Artificial Intelligence Engineer III

Duration: Full-time position

Location: Full Remote work mode

Job Description

Summary

This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence systems that address ambiguous and high impact business problems. This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The AI Engineer III operates with a high degree of autonomy, making architectural and technical decisions while ensuring solutions are reliable, measurable, secure, and aligned with enterprise AI standards.

Responsibilities

• Designs and owns end-to-end AI solutions, including LLM-based applications, classical machine learning models, and hybrid approaches.
• Builds and operates complex AI systems such as agentic workflows, retrieval-augmented generation (RAG) platforms, and decision-support solutions.
• Evaluates ambiguous business problems and determines appropriate AI patterns, modeling techniques, and system architectures.
• Defines and implements evaluation strategies, metrics, and feedback loops to measure model effectiveness and business impact.
• Leads the development of data pipelines, feature strategies, and evaluation datasets required to support AI systems.
• Owns production readiness, including performance, reliability, cost, observability, and failure handling.
• Identifies and mitigates risks related to bias, hallucination, data leakage, and unintended AI behavior.
• Collaborates cross-functionally with product management, platform teams, and stakeholders to guide solution design and delivery.
• Mentors and provides technical guidance to other team members.
• Contributes to the establishment and evolution of AI engineering standards, patterns, and best practices.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent practical experience.
• Five or more years of professional experience spanning software engineering, data science, machine learning engineering, or AI system development.
• Advanced proficiency in software engineering, including Python, APIs, testing, and system design.
• Advanced proficiency in one or more large scale data platform such as Snowflake, Databricks, Amazon Redshift, Microsoft Synapse, or similar.
• Strong applied knowledge of machine learning and artificial intelligence concepts, evaluation techniques, and failure modes.
• Hands-on experience designing, building, and deploying LLM based systems using enterprise grade platforms and frameworks.
• Experience with one or more AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar.
• Deep understanding of data quality, feature relevance, and model behavior across structured and unstructured data.
• Experience deploying, monitoring, and iterating on AI systems in production environments.
• Ability to make and defend technical tradeoff decisions balancing accuracy, cost, risk, and scalability.
• Strong communication and leadership skills, with the ability to influence technical direction and mentor others.

This is a remote position.