What are the responsibilities and job description for the AI Software Engineer position at Advanced Tech Placement?
Responsibilities:
- Design, develop, and optimize AI agents capable of reasoning, decision-making, tool usage, and autonomous workflows
- Build and optimize RAG (Retrieval-Augmented Generation) pipelines and vector search architectures
- Develop agentic AI workflows and multi-agent orchestration systems
- Integrate OpenAI, Claude, Gemini, or open-source LLM technologies into enterprise applications
- Build scalable backend APIs and AI services using Python and modern frameworks
- Leverage AI development tools such as Cursor AI and modern agent orchestration platforms
- Collaborate with engineering, product, and business teams to identify AI use cases and solution strategies
- Optimize AI system performance, latency, scalability, and reliability
- Contribute to prompt engineering, tool calling, evaluation frameworks, model testing, and AI governance initiatives
- Support AI automation, copilots, intelligent search, NLP, and workflow optimization initiatives
- Work within cloud environments such as AWS, Azure, or GCP to deploy and maintain AI solutions
Requirements:
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related technical field preferred
- Contract, Contract-to-Hire, and Permanent opportunities available depending on client needs
Required Skills:
- Strong Python development experience
- Experience building AI/ML or LLM-powered applications
- Hands-on experience with modern AI technologies and frameworks
- Experience building and consuming RESTful APIs
- Experience with prompt engineering and AI agent workflows
- Strong understanding of LLMs, AI/ML fundamentals, fine-tuning strategies, and evaluation frameworks
- Experience building scalable production AI applications and APIs
- Knowledge of cloud platforms (AWS, Azure, GCP)
- Strong backend engineering and system design fundamentals
Preferred Skills:
- Experience integrating AI solutions into enterprise production environments preferred
- Experience with AI orchestration frameworks, AI agents, autonomous agents, and multi-agent systems
- Experience with tool calling frameworks
- Familiarity with AI development tools such as LangChain, LangGraph, AutoGen, MCP (Model Context Protocol), OpenAI APIs, Claude / Anthropic APIs, Cursor AI, Pinecone, FAISS, Weaviate, Vector databases, RAG architectures, FastAPI, Docker / Kubernetes