Jobs via Dice
LLM/Prompt-Context Engineer Fullstack Python
Jobs via Dice, Atlanta, Georgia, United States, 30383
Overview
Job Title:
LLM/Prompt-Context Engineer Fullstack Python (AI Agents, LangGraph, Context Engineering) Location:
Atlanta, GA (onsite); Dallas, TX; Seattle, WA (onsite only) Duration:
Long term Interview:
Face to Face Responsibilities Prompt & Context Engineering: Design, optimize, and evaluate prompts for LLMs to achieve precise, reliable, and contextually relevant outputs across diverse use cases. Context Management: Architect and implement dynamic context management strategies, including session memory, retrieval-augmented generation, and user personalization to enhance agent performance. LLM Integration: Integrate, fine-tune, and orchestrate LLMs 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 multi-agent or multi-step solutions. Fullstack Development: Develop robust backend services, APIs, and (optionally) front-end interfaces to enable end-to-end AI-powered applications. Collaboration: Work with product, data science, and engineering teams to define requirements, run prompt experiments, and iterate quickly on solutions. Evaluation & Optimization: Implement testing, monitoring, and evaluation pipelines to continuously improve prompt effectiveness and context handling.
Required Skills & Qualifications
Deep experience with fullstack Python development (FastAPI, Flask, Django; SQL/NoSQL databases). Expertise in prompt engineering for LLMs (e.g., OpenAI, Anthropic, open-source LLMs). Strong understanding of context engineering, including session management, vector search, and knowledge retrieval strategies. Hands-on experience integrating AI agents and LLMs into production systems. Proficient with conversational flow frameworks such as LangGraph. Familiarity with cloud infrastructure, containerization (Docker), and CI/CD practices. Excellent analytical, problem-solving, and communication skills.
Preferred
Experience evaluating and fine-tuning LLMs or working with RAG architectures. Background in information retrieval, search, or knowledge management systems. Contributions to open-source LLM, agent, or prompt engineering projects.
Company & Equal Employment Opportunity
Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations are available in the hiring process for applicants with disabilities. Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Software Development
We hope this role fits your interests. Candidates can apply via the appropriate channel. #J-18808-Ljbffr
Job Title:
LLM/Prompt-Context Engineer Fullstack Python (AI Agents, LangGraph, Context Engineering) Location:
Atlanta, GA (onsite); Dallas, TX; Seattle, WA (onsite only) Duration:
Long term Interview:
Face to Face Responsibilities Prompt & Context Engineering: Design, optimize, and evaluate prompts for LLMs to achieve precise, reliable, and contextually relevant outputs across diverse use cases. Context Management: Architect and implement dynamic context management strategies, including session memory, retrieval-augmented generation, and user personalization to enhance agent performance. LLM Integration: Integrate, fine-tune, and orchestrate LLMs 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 multi-agent or multi-step solutions. Fullstack Development: Develop robust backend services, APIs, and (optionally) front-end interfaces to enable end-to-end AI-powered applications. Collaboration: Work with product, data science, and engineering teams to define requirements, run prompt experiments, and iterate quickly on solutions. Evaluation & Optimization: Implement testing, monitoring, and evaluation pipelines to continuously improve prompt effectiveness and context handling.
Required Skills & Qualifications
Deep experience with fullstack Python development (FastAPI, Flask, Django; SQL/NoSQL databases). Expertise in prompt engineering for LLMs (e.g., OpenAI, Anthropic, open-source LLMs). Strong understanding of context engineering, including session management, vector search, and knowledge retrieval strategies. Hands-on experience integrating AI agents and LLMs into production systems. Proficient with conversational flow frameworks such as LangGraph. Familiarity with cloud infrastructure, containerization (Docker), and CI/CD practices. Excellent analytical, problem-solving, and communication skills.
Preferred
Experience evaluating and fine-tuning LLMs or working with RAG architectures. Background in information retrieval, search, or knowledge management systems. Contributions to open-source LLM, agent, or prompt engineering projects.
Company & Equal Employment Opportunity
Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations are available in the hiring process for applicants with disabilities. Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Software Development
We hope this role fits your interests. Candidates can apply via the appropriate channel. #J-18808-Ljbffr