Senior AI Engineer – LLM & Agentic Systems (Python)
Spectraforce
US
Remote
a day ago
Job Description
Job Title: Senior AI Engineer – LLM & Agentic Systems (Python)
Location: Remote
Duration: 6 Months
Job Summary: We are seeking a senior AI engineer to design and build production-grade LLM-powered applications and agentic systems. This role owns the end-to-end development of intelligent solutions—from architecture to deployment—leveraging Python, modern LLM frameworks, and scalable system design.
? Key Responsibilities
? Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python
? Design and implement RAG pipelines over enterprise data using embeddings and vector databases
? Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain or LangGraph
? Integrate AI systems with APIs, backend services, and cloud platforms
? Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)
? Key Qualifications
? Strong Python expertise with experience building and deploying production-grade backend systems
? Hands-on experience developing applications using LLMs, including prompt engineering and orchestration
? Proven experience with RAG architectures, embeddings, and vector databases
? Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen)
? Strong system design skills with experience building and scaling cloud-based applications
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: $ 57.14/hr.
Location: Remote
Duration: 6 Months
Job Summary: We are seeking a senior AI engineer to design and build production-grade LLM-powered applications and agentic systems. This role owns the end-to-end development of intelligent solutions—from architecture to deployment—leveraging Python, modern LLM frameworks, and scalable system design.
? Key Responsibilities
? Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python
? Design and implement RAG pipelines over enterprise data using embeddings and vector databases
? Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain or LangGraph
? Integrate AI systems with APIs, backend services, and cloud platforms
? Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)
? Key Qualifications
? Strong Python expertise with experience building and deploying production-grade backend systems
? Hands-on experience developing applications using LLMs, including prompt engineering and orchestration
? Proven experience with RAG architectures, embeddings, and vector databases
? Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen)
? Strong system design skills with experience building and scaling cloud-based applications
Applicant Notices & Disclaimers
- For information on benefits, equal opportunity employment, and location-specific applicant notices, click here
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: $ 57.14/hr.