[Remote] Generative AI Engineer

Note: The job is a remote job and is open to candidates in USA. SPECTRAFOR is seeking a Generative AI Engineer to establish a core competency in agentic AI systems. This role involves designing and deploying advanced AI agents, hands-on coding in Python, and collaborating with data scientists to ensure ethical AI deployment.

Responsibilities

• This is a new role to establish a core competency in agentic AI systems. This engineer will be pivotal in designing and deploying advanced AI agents and will build the foundational frameworks for future AI use cases across the organization
• A typical day will involve a mix of hands-on coding, architectural design, and research. The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain
• This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment
• They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions

Skills

• Bachelor's degree-in Computer Science, Information Technology or other job related degree or 4 years relevant experience or Associates degree + 2 years relevant experience
• 8 years-of application development, systems testing or other job related experience. (6 yrs for Dev IV)
• 3–6 years of hands-on experience in Artificial Intelligence, Machine Learning, or related fields
• Deep hands-on experience in Python for AI/ML development
• Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment
• Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes
• Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use)
• Proficiency in Python development and FastAPI/Flask frameworks, along with SQL
• Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings
• Experience developing autonomous agents using cloud-based AI services
• Experience with prompt engineering techniques and model fine-tuning
• Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems
• Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale

Company Overview

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