Note: The job is a remote job and is open to candidates in USA. Decca Recruiting is an IT staffing company seeking an Artificial Intelligence Engineer III. The role designs, delivers, and owns complex production-grade AI systems, including LLM applications, machine learning models, and automated workflows. It also guides architecture, evaluation, production readiness, risk mitigation, cross-functional delivery, and mentoring.
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
Skills
- 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
Benefits
- Health insurance
- Opportunity for advancement
- Paid time off
- Parental leave
- Training & development
- Vision insurance
- Wellness resources
- 401(k)
- Dental insurance
- Fully remote work
Company Overview
Company H1B Sponsorship