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AI Engineer - Advanced Experience

Decca Consulting

  • 30+ days ago
  • Remote

    Highlights

    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.

    Numbers & Facts

    Location (
    Remote
    )
    IndustryOther/Not Classified
    Company Size50 to 99 employees
    Year Founded2007
    Websitehttp://www.deccaconsulting.com

    Description

    Replies within 24 hours
    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.

    Compensation: $128,000.00 - $169,000.00 per year




    About Company

    At Decca Consulting, we believe that success begins with exceeding our clients’ expectations in both service and advice. Our target is to establish a long-term, trusted relationship with each of our clients, by continually providing staffing solutions that meet each organization’s unique needs.

     

    Founded in 2006, Decca Consulting has more than 50 years combined experience in staffing solutions. We believe in these three steps to successful staffing:

    1. Find the Best-Fit Talent
    2. Deliver on time
    3. Follow through with onsite support

     

    Our Mission: With a focus on timely delivery of the best candidates for the job, Decca Consulting is proud to serve the unique staffing needs of the gas and oil industry through targeted solutions and onsite support.

     

    Our Specialty: Providing IT/Engineering staffing solutions for the gas and oil industry, delivering exceptional candidates experienced in the information technology arm that serves the ever-expanding world of the gas and oil industry. With more than a decade of experience in solving the unique staffing needs for the gas and oil industry, we are primed to meet the challenge of sourcing the right candidate in a timely, professional manner.

     

    A Step Beyond: Because of the trusted connection developed with our long-time, satisfied gas and oil clients, they asked for our assistance in sourcing the right candidates throughout their companies. So, we’ve expanded our services to provide staffing solutions beyond the realm of IT.

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