Data Quality developer, PYTHON

About Us: American Technology Consulting (ATC) is a service-first tech company dedicated to helping businesses unlock their full potential through innovative technology solutions. We empower organizations to leverage data for smarter decisions and meaningful impact. At ATC, we foster a culture of growth and invite passionate individuals to join our team, contribute to impactful projects, and excel as data-driven problem solvers.

We embrace diversity and welcome candidates from all educational and professional backgrounds, including recent Master’s graduates without prior technical experience. Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application. We are seeking a skilled AI Developer to design, build, and deploy autonomous AI agents from scratch.

You will leverage machine learning, Python, and specialized frameworks like LangChain and LangGraph to develop scalable AI agents for applications such as automation, robotics, virtual assistants, or multi-agent simulations. Architect and implement AI agents from the ground up using frameworks such as LangChain for chaining LLMs and tools, and LangGraph for stateful, graph-based agent workflows, including perception modules (e.g., using computer vision or NLP), decision-making logic (e.g., via reinforcement learning or planning algorithms), and action execution components. Develop and train machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn to enable agent learning and adaptation, integrating with LangChain/LangGraph for advanced agent orchestration.

Integrate AI agents with external systems, APIs, databases, and environments (e.g., Optimize agents for performance, scalability, and robustness, including handling edge cases, ethical considerations, and safety protocols within graph-structured agent designs. data scientists, software engineers) to iterate on agent designs based on feedback and testing. Document code, architectures, and methodologies for reproducibility and team knowledge sharing. Stay current with advancements in AI agent technologies, such as large language models (LLMs), multi-agent systems, and emerging frameworks like LangChain and LangGraph.

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proficiency in Python programming, with strong experience in ML libraries (e.g., LangChain, LangGraph, AutoGen, RLlib, Hugging Face Transformers). Hands-on experience building AI agents from scratch using LangChain for tool integration and agent chains, LangGraph for multi-step reasoning and state management, including reinforcement learning, state machines, graph-based planning, or evolutionary algorithms.

Solid understanding of data structures, algorithms, software engineering principles, and version control (e.g., Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying agents, and tools like Docker/Kubernetes for containerization. Strong problem-solving skills, with the ability to debug complex systems and work in agile, fast-paced environments.

Experience with specialized domains like natural language processing (NLP), computer vision, robotics (e.g., ROS), or game AI, integrated with LangChain/LangGraph. Knowledge of big data tools (e.g., Spark, Hadoop) or databases (SQL/NoSQL) for handling large-scale agent data. Prior work with multi-agent systems, ethical AI, or real-time applications using advanced frameworks.

Contributions to open-source AI projects or a portfolio demonstrating agent-building expertise (e.g., GitHub repos showcasing LangChain/LangGraph implementations).