GEN AI Engineer

Propertyvalue Quantum Technologies Llc

Dallas, TX, United States

20 days ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Compensation

$180,960.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon S3 Systems Engineering Bioinformatics C++ (Programming Language) Cloud Engineering Data Structures Distributed Systems Amazon DynamoDB

+24 more

Python (Programming Language) Knowledge Management Machine Learning Open Source Technology Software Safety Search Technologies Software Engineering Systems Integration Datadog Large Language Models Prompt Engineering State Machines Caching Cloudformation Build Management Containerization AI Platforms Operational Systems Machine Learning Operations Virtual Agents Functional Programming Terraform Amazon Redshift Golang

Job description

Title: GenAI / Agentic AI Engineer (Production Operations)
Goal: Build and deploy secure agentic AI solutions that diagnose, remediate, and optimize large-scale production environments while reducing operational risk, support effort, and cost
Agentic AI Systems Engineering Proven ability to design and productionize tool-calling LLM agents with RAG, secure action execution, guardrails, evaluation frameworks, and integrations into operational systems.
Design and implement agentic AI systems using retrieval, structured reasoning, function calling, policy enforcement, and MCP-based integrations.
Productionize LLM-powered applications with evaluation pipelines, monitoring, response validation, self-correction, and continuous improvement mechanisms.
Integrate AI agents with observability, incident management, deployment, and production support ecosystems.
Build RAG architectures including knowledge curation, data quality validation, retrieval optimization, and feedback loops.
Implement governance controls including validator models, adversarial testing, deterministic fallbacks, rollback strategies, and auditability.
Optimize AI platform performance, scalability, latency, and cost through model routing, caching, context management, batching, streaming, and parallel execution.

Requirements

Software Engineering Experience 5+ years developing production-grade applications in Python, C/C++, Go, or Java; strong hands-on Python experience preferred.
Production ML Systems 3+ years designing, deploying, monitoring, and maintaining production ML systems including serving, evaluation, pipelines, and model lifecycle management.
Agentic AI Development Experience building tool-using AI agents with function calling, secure tool execution, orchestration, and automated workflows.
RAG Architecture Hands-on implementation of retrieval pipelines, vector search, knowledge management, prompt synthesis, and retrieval optimization.
LLM Engineering Practical experience integrating and adapting LLMs through APIs, prompt engineering, evaluation, and application development.
Multi-Model Expertise Working knowledge of commercial and open-source models such as OpenAI, Gemini, Claude, Llama, and Qwen.
AI Safety & Governance Experience implementing guardrails, policy enforcement, validation layers, risk controls, monitoring, and compliance mechanisms.
Systems Integration Ability to connect AI services with operational platforms, observability tooling, incident workflows, and deployment ecosystems.
Data Structures & ML Foundations Strong understanding of algorithms, statistics, ML concepts, and efficient system design.
Production Ownership Demonstrated problem-solving, collaboration, communication, and delivery of measurable business outcomes in complex environments
AWS Cloud Expertise Experience with ECS, EKS, Lambda, S3, DynamoDB, Redshift, Step Functions, SageMaker, and cloud-native architectures.
Infrastructure as Code Experience using Terraform or CloudFormation for repeatable deployments.
Containerization & Distributed Systems Experience operating scalable containerized workloads in production environments.
Technical Leadership Experience mentoring engineers, leading design reviews, and driving engineering standards Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.