AI Developer
BAM Technologies
Full-time
Remote
United States
Technology & Development
AI Developer II
BAM is a dynamic, multi-disciplinary firm with leading-edge skills in information technology, software development and applied research. Serving government and commercial markets, BAM is committed to its customers and to delivering strong leadership, sound solutions, and innovative thinking.BAM is seeking an AI Developer to join its team. The AI Developer II is a mid-level technical centered on integrating, configuring, and deploying advanced agentic systems within enterprise applications. The AI Developer II works closely with software engineers, product teams, and stakeholders to ensure seamless adoption and optimal performance of agentic components tailored to specific business needs.
Key Responsibilities:
- Configure and integrate agentic technologies (e.g., MCP, RAG) within new and existing applications.
- Facilitate code development and automation by leveraging agentic tools for end-user solutions.
- Design workflows that enable real-time reasoning, retrieval, and decision-making in deployed systems.
- Collaborate across teams to identify opportunities for agentic solutions and drive implementation efforts.
- Monitor and optimize the effectiveness of agentic features to ensure reliability and scalability.
- Document configurations, workflows, and best practices for agentic components.
- Participate in Agile development cycles, providing technical expertise in agentic integration.
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
- 3+ years of experience in AI/ML development.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes).
- Strong understanding of supervised and unsupervised learning techniques.
- Familiarity with REST APIs and microservices architecture.
- Excellent problem-solving and communication skills.
- Master’s degree or certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Professional ML Engineer).
- Experience with NLP, computer vision, or reinforcement learning.
- Familiarity with data governance, privacy, and ethical AI frameworks.
- Experience working in regulated industries (e.g., healthcare, finance, defense).