Pyramid Consulting, Inc · 5 months ago
AI Adoption Engineer-API Platform
Irving, TX
Full-time
Onsite
Mid Level
$65/hr - $70/hrPyramid Consulting, Inc. is seeking a talented AI Adoption Engineer-API Platform for a long-term contract opportunity. The role involves driving AI use cases in the software development lifecycle across multiple teams, focusing on API and platform management, and developing AI agents and frameworks.
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Responsibilities
Need is for someone who is technically adept at both API and platform management and can drive AI use cases in the SDLC process across multiple teams
Strong experience in using AI
Someone good with Java, React, NSA stack technology
Someone who understand the potential use cases they can build to drive AI adoption
Good experience with APIs in the platform
Conceptualize, design, architect, and develop Spring boot reactive microservices with spring webflux
Knowledge of service oriented multi-tier applications
Conceptualize, design, architect & develop AI agent frameworks and systems, including defining agent capabilities, interaction flows, and decision-making logic
Select appropriate AI models (LLMs, machine learning models, etc.), tools, and technologies for agent development
Design and implement agent memory systems, knowledge bases, and context management mechanisms
Develop, code, and test AI agents using programming languages such as Python, and relevant AI/ML libraries and frameworks (e.g., LangChain, LlamaIndex, TensorFlow, PyTorch, scikit-learn)
Integrate agents with various data sources, APIs, and external systems
Implement Natural language Understanding (NLU) and natural language generation (NLG) components for human-like interaction
Develop and fine-tune LLM prompts and orchestrate LLM interactions within agent workflows
Develop and utilize tools for agent creation, management, and orchestration
Implement mechanisms for agents to use external tools and APIs to augment their capabilities (e.g., web search, code execution, database queries)
Design and implement robust testing and evaluation frameworks for AI agents, focusing on performance, accuracy, reliability, and safety
Monitor agent performance in production, identify areas for improvement, and implement optimizations
Conduct A/B testing and other experiments to refine agent behavior and effectiveness
Deploy AI agents to scalable and reliable infrastructure (cloud platforms like AWS, GCP, Azure, or on-premise)
Ensure agents adhere to security best practices and data privacy regulations
Qualification
Required
Need is for someone who is technically adept at both API and platform management and can drive AI use cases in the SDLC process across multiple teams
Strong experience in using AI
Someone good with Java, React, NSA stack technology
Someone who understand the potential use cases they can build to drive AI adoption
Good experience with APIs in the platform
Conceptualize, design, architect, and develop Spring boot reactive microservices with spring webflux
Knowledge of service oriented multi-tier applications
Conceptualize, design, architect & develop AI agent frameworks and systems, including defining agent capabilities, interaction flows, and decision-making logic
Select appropriate AI models (LLMs, machine learning models, etc.), tools, and technologies for agent development
Design and implement agent memory systems, knowledge bases, and context management mechanisms
Develop, code, and test AI agents using programming languages such as Python, and relevant AI/ML libraries and frameworks (e.g., LangChain, LlamaIndex, TensorFlow, PyTorch, scikit-learn)
Integrate agents with various data sources, APIs, and external systems
Implement Natural language Understanding (NLU) and natural language generation (NLG) components for human-like interaction
Develop and fine-tune LLM prompts and orchestrate LLM interactions within agent workflows
Develop and utilize tools for agent creation, management, and orchestration
Implement mechanisms for agents to use external tools and APIs to augment their capabilities (e.g., web search, code execution, database queries)
Design and implement robust testing and evaluation frameworks for AI agents, focusing on performance, accuracy, reliability, and safety
Monitor agent performance in production, identify areas for improvement, and implement optimizations
Conduct A/B testing and other experiments to refine agent behavior and effectiveness
Deploy AI agents to scalable and reliable infrastructure (cloud platforms like AWS, GCP, Azure, or on-premise)
Ensure agents adhere to security best practices and data privacy regulations
Key Skills: Java 17 & Spring
AI/ML & LLM Integration – hands-on with LangChain, LlamaIndex, prompt engineering, and model fine-tuning
API Development & Platform Management – expertise in REST/GraphQL APIs, large-scale integrations, and SDLC automation
Strong proficiency in Java 17 & above, Spring WebFlux, Python
Solid understanding of machine learning concepts, algorithms, and best practices
Hands-on experience with Large Language Models (LLMs), including prompt engineering, fine-tuning, and integration (e.g., OpenAI GPT series, Anthropic Claude, Google Gemini, open-source models)
Experience with AI agent frameworks and libraries (e.g., LangChain, LlamaIndex, AutoGen, Microsoft Semantic Kernel)
Proficiency in developing and consuming APIs (REST, GraphQL)
Experience with database technologies (SQL, NoSQL)
Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes)
Understanding of software engineering principles, including data structures, algorithms, version control (Git), testing, and agile methodologies
Knowledge of Natural Language Processing (NLP) techniques and libraries (e.g., spaCy, NLTK, Hugging Face Transformers)
Experience with REST services with various methods like GET, POST, PUT using JSON structures
Benefits
Health insurance (medical, dental, vision)
401(k) plan
Paid sick leave (depending on work location)
Company
Pyramid Consulting, Inc
Pyramid Consulting, a global leader in workforce and technology solutions, empowers individuals and organizations to transform and thrive in the most challenging and competitive markets.
Founded in 1996
5001-10000 employees
H1B Sponsorship
Pyramid Consulting, Inc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (178)
2024 (112)
2023 (95)
2022 (62)
2021 (50)
2020 (117)
Funding
Current Stage
Late StageLeadership Team
Ramesh Maturu
President and Co-Founder
Manish Kaushik
Chief Financial Officer
Recent News
2025-08-18
Company data provided by crunchbase