Urgent Opening For Agentic Ai Engineer

Immediate contract opportunity for a Agentic AI Engineer / AI Developer with Business Intelligence & Reporting. The Agentic AI Engineer will collaborate with Data Scientists, Product Managers, Business Analysts, and stakeholders to build and deploy AI agents that automate and optimize labor-intensive workflows while enabling data-driven decision making through business intelligence and reporting solutions.

Required Skills

** AI & Software Engineering **
- 3+ years of experience building production-level AI or ML systems, including LLMs, AI agents, or complex automation frameworks.[KN1.1]
- 3+ years of experience with Python and Python libraries such as Pandas, NumPy, and related data processing tools.
- Experience with Large Language Models (LLMs), Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL).[KN2.1]
- Strong understanding and hands-on experience with Natural Language Processing (NLP).
- Experience with AI agent frameworks and tools such as LangGraph, LangChain, TensorFlow, or PyTorch.
- Experience optimizing workflows through intelligent automation and AI-driven solutions.
- Experience integrating AI agents with APIs, cloud platforms, enterprise applications, and databases.[KN3.1]
- Experience building and deploying AI pipelines on AWS SageMaker with Aurora PostgreSQL for data ingestion, analytics, and operational reporting.
- Experience performing automated testing, troubleshooting, and application maintenance.
- Experience with Software Development Lifecycle (SDLC) methodologies, including DevSecOps practices.
- Experience with cloud platform - Amazon Web Services (AWS).[KN4.1]
- Experience developing RESTful services using Java and Spring Boot.
- Experience managing CI/CD pipelines and containerized deployments using Kubernetes, Docker, Jenkins, or similar technologies.
- Preferred experience using GitHub and collaborative development platforms.

** Business Intelligence & Analytics **
- 3+ years of experience designing and developing business intelligence solutions and enterprise reporting platforms.
- Experience creating interactive dashboards and reports using tools such as Power BI, Tableau, or similar BI platforms.[KN5.1]
- Hands-on expertise with SQL, data querying, and relational database concepts.
- Experience developing data models, semantic layers, KPIs, scorecards, and performance metrics for business stakeholders.
- Experience integrating and transforming data from multiple enterprise systems and APIs for reporting and analytics purposes.
- Knowledge of data warehousing, ETL/ELT processes, data governance, and data quality management.
- Ability to analyze business requirements and translate them into meaningful visualizations and actionable insights.
- Experience building operational, executive, and analytical reports that support strategic decision-making.
- Understanding of data visualization best practices, reporting standards, and storytelling with data.
- Experience measuring and reporting AI solution performance, adoption metrics, operational efficiencies, and business outcomes.
- Strong communication skills with the ability to present technical and analytical findings to both business and executive audiences.

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