Need :: LLM/Prompt-Contest Engineer :: Remote

[Daud Khan]

Hi Team,

 

I hope this email finds you well. My name is Daud and I’m a Recruiter with Aroha Technologies; a leading information technology services and Engineering solutions company. I'm sharing an incredible opportunity that aligns perfectly with your skills and aspirations.  

  

Job Location: LLM/Prompt-Contest Engineer - Exlktack Python (ATAgents, LangGraph, Context Engineering)

Location - 1st Atlanta, 2nd Dallas, Srd Seattle (Onsite)

About the Role:

We are looking for a highly skilled LLM/Prompt-Context Engineer with a strong fellack Python background to deriga, develop, and integrate intelligent systems focused on large language models (LLMs), prompt engineering, and advanced contert management. In this role, you will play a critical part in architecting context-rich Al solutions, crafting effective prompts, and ensuring seamless agent interactions using frameworks like LangGraph Key Responsibilities:

• Prompt & Context Engineering:
  Design, optimize, and evaluate prompts for LLMs to achieve precise, reliable, and contextually relevant outputs across a variety of use cases.
• Context Management:
  Architect and implement dynamic context management strategies, including session memory, retrieval-augmented generation, and user personalization, to enhance agent performance.
• LEM Integration:
  Integrate, fine-tune, and orchestrate LL Ms within Python-based applications, leveraging APIs and custom pipelines for scalable deployment.
• LangGraph & Agent Flows:
  Build and manage complex conversational and agent workflows using the LangGraph framework to support muit-agent or mult step solutions.
• Eullstack Derelopment:
  Develop robust backend services, APIs, and (optionally) front-end interfaces to enable end-to-end Al-powered applications.
• Collaboration:
  Work closely with product, data science, and engineering teams to define requirements, run prompt experiments, and iterate quickly on solutions.
• Evaluation & Optimization:
  Implement testing, montoring, and evaluation pipelines to continuously improve prompt effectiveness and contest handling:

Required Skills & Qualifications:

• Deep experience with fullstack, Python development (FastAPL Flask, Django; SQLNoSQL databases).
• Demonstrated expertise in prompt engineering for LIMs (e g., OpenAI, Anthropie, open-source LL Ms).
  Strong understanding of context engineering, including session management, vector search, and knowledge retrieval strategies Hands-on experience integrating Al agents and LLMs into production systems Proficient with conversational flow frameworks such as LangGraph Familiarity with cloud infrastructure, containerization (Docker), and CL CD practices.
• Exceptional analytical, problem-solving and communication skills.

Preferred:

Experience evaluating and fine-tuming LLMs of working with RAG architectures.

• Background in information retrieval, pearch, or knowledge management systems
• Contributions to open-source LLM, agent, or prompt engineering projects.
• 
  

Best regards,

Daud Khan (David)

Aroha Technologies

5000 Hopyard RD, Suite 415
Pleasanton, CA 94568