Implement retrieval-augmented generation pipelines using enterprise data sources * Build and orchestrate agent-based workflows to automate targeted tasks Model Integration and System Behavior
Implement retrieval-augmented generation pipelines using enterprise data sources * Build and orchestrate agent-based workflows to automate targeted tasks Model Integration and System Behavior
Senior Gen AI Developer -Vice President
Tampa, FL · On-site
$113K - $170K/yr
Implement and experiment with advanced generative AI methods, including prompt engineering and Retrieval-Augmented Generation (RAG). * Support the integration of AI models into production ...
Senior Gen AI Developer -Vice President
Tampa, FL · On-site
$113K - $170K/yr
Implement and experiment with advanced generative AI methods, including prompt engineering and Retrieval-Augmented Generation (RAG). * Support the integration of AI models into production ...
Gen AI Technology Lead
Tampa, FL · On-site
$113K - $170K/yr
Retrieval-Augmented Generation (RAG) systems * Vector databases (PostgreSQL + pgvector, Pinecone, Weaviate, FAISS, etc.) * Advanced retrieval strategies (hybrid search, re-ranking, metadata filtering)
Gen AI Technology Lead
Tampa, FL · On-site
$113K - $170K/yr
Retrieval-Augmented Generation (RAG) systems * Vector databases (PostgreSQL + pgvector, Pinecone, Weaviate, FAISS, etc.) * Advanced retrieval strategies (hybrid search, re-ranking, metadata filtering)
AI & Machine Learning Engineer
Saint Petersburg, FL · On-site
$105K - $127K/yr
Designs, builds, and maintains Retrieval-Augmented Generation (RAG) GPT applications by integrating enterprise knowledge sources (documents/databases) with embeddings, vector search, and prompt ...
AI & Machine Learning Engineer
Saint Petersburg, FL · On-site
$105K - $127K/yr
Designs, builds, and maintains Retrieval-Augmented Generation (RAG) GPT applications by integrating enterprise knowledge sources (documents/databases) with embeddings, vector search, and prompt ...
Gen AI Engineer
Lake Mary, FL · Hybrid
... Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. * Work closely with the MLOps ...
Gen AI Engineer
Lake Mary, FL · Hybrid
... Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. * Work closely with the MLOps ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Designs, builds, and maintains Retrieval-Augmented Generation (RAG) GPT applications by integrating enterprise knowledge sources (documents/databases) with embeddings, vector search, and prompt ...
New
Designs, builds, and maintains Retrieval-Augmented Generation (RAG) GPT applications by integrating enterprise knowledge sources (documents/databases) with embeddings, vector search, and prompt ...
New
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
AI & Machine Learning Engineer
$105K - $127K/yr
Designs, builds, and maintains Retrieval-Augmented Generation (RAG) GPT applications by integrating enterprise knowledge sources (documents/databases) with embeddings, vector search, and prompt ...
New
AI & Machine Learning Engineer
$105K - $127K/yr
Designs, builds, and maintains Retrieval-Augmented Generation (RAG) GPT applications by integrating enterprise knowledge sources (documents/databases) with embeddings, vector search, and prompt ...
New
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Gen AI Engineer
Lake Mary, FL · Hybrid
... Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. * Work closely with the MLOps ...
Gen AI Engineer
Lake Mary, FL · Hybrid
... Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. * Work closely with the MLOps ...
... retrieval-augmented generation (RAG), embeddings, vector search, model serving, monitoring, and technical governance. The role works closely with IT, infrastructure, business data owners, the AI ...
Quick apply
... retrieval-augmented generation (RAG), embeddings, vector search, model serving, monitoring, and technical governance. The role works closely with IT, infrastructure, business data owners, the AI ...
Role Overview An Azure AI Foundry AI Engineer designs, builds, and deploys intelligent generative AI, agentic workflows, and RAG (Retrieval-Augmented Generation) applications. This role requires ...
Role Overview An Azure AI Foundry AI Engineer designs, builds, and deploys intelligent generative AI, agentic workflows, and RAG (Retrieval-Augmented Generation) applications. This role requires ...
Data Engineer
West Palm Beach, FL · On-site
$90K - $150K/yr
Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns. * Implement data quality, validation, and lineage ...
Data Engineer
West Palm Beach, FL · On-site
$90K - $150K/yr
Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns. * Implement data quality, validation, and lineage ...
Director, AI Platform and Development Engineering
Hollywood, FL · On-site
$231K/yr
... retrieval-augmented generation (RAG), embeddings, vector search, model serving, monitoring, and technical governance. The role works closely with IT, infrastructure, business data owners, the AI ...
Quick apply
Director, AI Platform and Development Engineering
Hollywood, FL · On-site
$231K/yr
... retrieval-augmented generation (RAG), embeddings, vector search, model serving, monitoring, and technical governance. The role works closely with IT, infrastructure, business data owners, the AI ...
Applied AI Field Engineer (Orlando)
Orlando, FL · On-site
$155K - $190K/yr
Implement retrieval-augmented generation pipelines using enterprise data sources * Build and orchestrate agent-based workflows to automate targeted tasks Model Integration and System Behavior
Applied AI Field Engineer (Orlando)
Orlando, FL · On-site
$155K - $190K/yr
Implement retrieval-augmented generation pipelines using enterprise data sources * Build and orchestrate agent-based workflows to automate targeted tasks Model Integration and System Behavior
.NET Solution Architect
Doral, FL · On-site
$58.25 - $76.75/hr
Retrieval-Augmented Generation (RAG) * Prompt Engineering * AI orchestration frameworks * Vector databases * AI agents and autonomous workflows * Experience implementing AI-enabled SDLC and developer ...
.NET Solution Architect
Doral, FL · On-site
$58.25 - $76.75/hr
Retrieval-Augmented Generation (RAG) * Prompt Engineering * AI orchestration frameworks * Vector databases * AI agents and autonomous workflows * Experience implementing AI-enabled SDLC and developer ...
Director, AI Platform and Development Engineering
Miramar, FL · On-site
$231K/yr
... retrieval-augmented generation (RAG), embeddings, vector search, model serving, monitoring, and technical governance. The role works closely with IT, infrastructure, business data owners, the AI ...
Director, AI Platform and Development Engineering
Miramar, FL · On-site
$231K/yr
... retrieval-augmented generation (RAG), embeddings, vector search, model serving, monitoring, and technical governance. The role works closely with IT, infrastructure, business data owners, the AI ...
Engineering Manager
Aventura, FL · Hybrid
Practical understanding of building applications using Generative AI, including prompt orchestration, retrieval-augmented generation (RAG), LLM APIs, and vector databases. * Operational Execution ...
Engineering Manager
Aventura, FL · Hybrid
Practical understanding of building applications using Generative AI, including prompt orchestration, retrieval-augmented generation (RAG), LLM APIs, and vector databases. * Operational Execution ...
Data Engineer
West Palm Beach, FL · On-site
$110K - $133K/yr
Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns. * Implement data quality, validation, and lineage ...
Data Engineer
West Palm Beach, FL · On-site
$110K - $133K/yr
Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns. * Implement data quality, validation, and lineage ...
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Job description
Trilon is building a supercharged, technology-enabled future for our people and partners. The Applied AI Engineer plays a critical role in that mission by building the AI-powered features that enable our tools to compress real engineering labor across our operating companies.
This role sits at the intersection of software engineering and applied AI, focused on designing and implementing the intelligence layer of our products. You translate product requirements and architectural patterns into working AI capabilities by building prompt frameworks, retrieval-augmented generation pipelines, and agent-based workflows that operate against real engineering data and deliverables.
Working within a product pod, you partner closely with the Lead Engineer, Software Engineer, and QA Engineer to deliver production-ready solutions. You own how the system reasons, including prompt design, context management, model integration, and orchestration logic. You also help define how quality is measured for AI outputs, ensuring tools are accurate, reliable, and usable in real-world workflows.
You will engage directly with engineers across our operating companies to understand workflows, validate solutions, and iterate quickly based on feedback. You may also participate in field-based project hackathons, embedding with teams to identify high-impact opportunities and rapidly prototype solutions that inform platform development.
This role requires strong software engineering fundamentals, deep hands-on experience with modern AI tooling, and the ability to operate in a fast-moving environment where both the technology and the product are evolving. You are comfortable with ambiguity, rigorous about output quality, and focused on delivering AI that engineers trust and use.
AI Application Development
- Design and build AI-powered features using large language models and related tooling
- Develop and maintain prompt architectures that drive consistent, high-quality outputs
- Implement retrieval-augmented generation pipelines using enterprise data sources
- Build and orchestrate agent-based workflows to automate targeted tasks
Model Integration and System Behavior
- Integrate LLM APIs such as Anthropic Claude and OpenAI into production systems
- Design context management strategies to ensure outputs are grounded, relevant, and accurate
- Manage tradeoffs across latency, cost, and performance in AI workflows
- Continuously improve system behavior through prompt iteration and architecture refinement
Pod Collaboration and Delivery
- Partner with Software Engineers to integrate AI capabilities into applications, APIs, and user interfaces
- Align with the Lead Engineer on technical direction, architecture, and implementation decisions
- Work with QA Engineers to define evaluation criteria, testing strategies, and quality thresholds for AI outputs
- Translate product requirements into scalable, production-ready AI solutions
Evaluation and Quality Optimization
- Define and implement approaches for evaluating non-deterministic AI outputs
- Build test cases, benchmarks, and evaluation pipelines to track output quality over time
- Identify failure modes and iterate on prompts, pipelines, and orchestration logic
- Ensure consistency and reliability as models, prompts, and data sources evolve
Continuous Improvement and Innovation
- Stay current with advancements in LLMs, vector databases, and agent frameworks
- Experiment with new tools and techniques to improve speed, quality, and capability
- Contribute reusable patterns, components, and best practices across pods
- 4+ years of experience in software engineering, applied AI, or machine learning development
- Strong programming skills in Python and/or JavaScript
- Hands-on experience working with LLM APIs such as Anthropic Claude, OpenAI, or similar
- Experience designing and implementing prompt architectures and prompt engineering techniques
- Experience building retrieval-augmented generation pipelines and working with vector databases
- Familiarity with agent orchestration frameworks and multi-step AI workflows
- Experience integrating AI capabilities into applications via APIs and backend systems
- Strong understanding of handling structured and unstructured data in AI systems
- Ability to evaluate, debug, and improve non-deterministic AI outputs
- Experience working in a fast-paced, product-oriented development environment
- Strong problem-solving skills and ability to operate in ambiguous, evolving contexts
- Ability to collaborate closely with engineers, product managers, and QA within a pod structure
- Excellent communication skills and ability to explain technical concepts clearly
- Curiosity and willingness to learn domain-specific workflows, particularly within engineering and AEC contexts
About Trilon Group
Sourced by ZipRecruiter
Industry
Civil engineering construction
Company size
201 - 500 Employees
Headquarters location
Aurora, CO, US
Year founded
2021