Title: Senior Developer
Location: Columbia, SC - Partially onsite - 3 days per week (Tue, Wed, Thurs) and as needed.
Duration: 6 months
Standard work hours: 8:00 AM – 5:00 PM

**Credit check will be required**

Job Description:
**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.**

Day to Day:

• 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.

Team:
The team is an innovative, collaborative, and empowering environment. We are building the next generation of AI solutions for the enterprise in a fast-paced, project-oriented setting. This is a multi-platformed environment that values creativity, continuous learning, and a customer-focused mindset. The new engineer will play a crucial role in shaping our AI strategy and building foundational tools and accelerators that will drive innovation across the company.

NOT Looking for: 
We are not looking for candidates whose primary experience is in data analytics or traditional machine learning (e.g., regression, classification) without significant exposure to Generative AI.

Job Requirement:
Minimum Required Education:
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

Minimum Required Work Experience:
8 years-of application development, systems testing or other job related experience. (6 yrs for Dev IV) 

Required Technologies: 

• 3–6 years of hands-on experience in Artificial Intelligence, Machine Learning, or related fields.
• Python & AI/ML Libraries: Deep hands-on experience in Python for AI/ML development.
• Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
• Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
• Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).

Tech Stack-

• Python
• JavaScript/TypeScript
• AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
• AI Models (e.g. Claude, OpenAI, etc.)
• AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
• Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
• Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
• API Design

Nice to Have: 

• 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.

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 55.00/hr.