Hi ,

Integration Engineer / Backend/Agent Engineer /LLM/Prompt-Context Engineer

Seattle, Dallas, Atlanta, (Onsite from Day 1)

12+ months contract

Drive on Thursday 18-Sep-2025

Total 3 Positions looking with Python Full stack Developer

(AI Agents, LangGraph, Context Engineering)

Position Overview:

We are looking for a highly skilled LLM/Prompt-Context Engineer with a strong fullstack Python background to design, develop, and integrate intelligent systems focused on large language models (LLMs), prompt engineering, and advanced context management. In this role, you will play a critical part in architecting context-rich AI 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.

• 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 closely 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).

• Demonstrated 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.

• Exceptional 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.

Gaurav Mote | Tekgence Inc

Direct: 469-575-8666, Ext- 145 • gaurav.mote@tekgence.com

6655 Deseo Dr, Suite 104, Irving, TX , 75039 • www.tekgence.com

Tekgence is an equal opportunity employer. Applicants must be authorized to work in the U.S. U.S. citizens and Green Card holders are strongly encouraged to apply.

Tekgence Inc

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