Robert Half · 3 weeks ago
AI Engineer – Agentic & Generative AI
Richardson, TX
Full-time
Hybrid
Senior Level
$180K/yr - $200K/yr
5+ years expRobert Half is at the forefront of the Generative AI revolution, dedicated to shaping the future of artificial intelligence. They are seeking an AI Engineer to develop, deploy, and scale advanced AI applications that address real-world challenges, focusing on designing and building AI applications with cutting-edge technologies.
ConsultingHuman ResourcesRecruitingSecurity
No H1B
Hiring Manager
Alexandra Brice
Responsibilities
Evaluate and use LLMs and multimodal models from multiple providers (e.g., OpenAI, Google, Anthropic, etc.) for: Conversational assistants, task-based copilots, and AI agents
Summarization, content generation, document understanding, generative analytics
Basic multimodal use cases (text + image, text + document, and soon video/audio)
Design and implement agentic workflows (e.g., tool-calling, multi-step reasoning, multi-agent orchestration) using: LangChain, OpenAI Agents SDK, Google ADK or similar frameworks
Design and optimize prompts and system instructions to: Improve task completion, reliability, and latency
Minimize hallucinations and toxic/unsafe outputs
Implement structured outputs (JSON/JSON Schema)
Develop function/tool calling and prompts that help AI call them properly
Integrate safety/guardrail layers (e.g., content moderation APIs, Guardrails AI, Rebuff, custom policies) to keep conversations focused
Architect and implement RAG pipelines: Choose and configure vector databases (e.g., PGVector, Vertex AI Search, Pinecone, etc.)
Build ingestion pipelines for internal data (documents, tickets, logs, property data, etc.)
Implement knowledge retrieval process that draws from multiple sources and uses reranking to improve the response quality
Explore emerging retrieval techniques (semantic caching, knowledge graphs, long-context models, memory systems)
Build or integrate front-end experiences (React / Vue / Svelte / Web RTC) for AI agents and copilots
Develop back-end services to orchestrate AI calls using REST, gRPC, WebSockets, or MCP; ensure scalability and observability
Integrate with internal systems and data sources using secure APIs and data contracts
Design and maintain evaluation pipelines and benchmarks for LLM-based features: Offline metrics (accuracy, relevance, latency, cost)
Human-in-the-loop evaluations where needed
Use AI observability and tracing tools (e.g., LangSmith, OpenTelemetry, etc.) to monitor quality
Optimize for performance, reliability, latency, and cost through: Model selection and routing (e.g., small vs. large models, Google vs. OpenAI)
Prompt/token optimization and caching strategies
Collaborate with cross-functional teams (Product, Design, Domain Experts, Data Science, Platform Engineering) to define requirements and success metrics
Participate in architecture and design reviews; write clear technical documentation and runbooks
Contribute to shared libraries, templates, and best practices for AI development
Work in an Agile environment and own features from design through deployment and maintenance
Qualification
Required
5+ years of total experience in Software Engineering and/or Data Science, with at least 2 years focused on Generative AI/LLMs
Degree in Computer Science, Machine Learning, Data Science, or related field, or equivalent practical experience
Strong proficiency in Python for AI/ML, data pipelines, and back-end services
JavaScript/TypeScript for front-end and/or Node services
SQL and experience working with relational databases and basic data modeling
Working with coding assistants like Windsurf, Cursor, Codex, etc
Proven experience building production-grade software: Writing clean, testable, maintainable code
Using CI/CD pipelines, code reviews, and Git workflows
Hands-on experience with at least one agentic/orchestration framework (OpenAI Agents SDK, Google ADK, LangChain, etc.)
LLM APIs and/or open-source models (e.g., via OpenAI, Google, Hugging Face, Ollama)
Vector embeddings, vector databases, and RAG architectures
Experience with one or more major cloud platforms (GCP, Azure, and AWS) and: Docker for containerization
Kubernetes or a managed container service (e.g., EKS, GKE, AKS)
Strong communication skills and ability to collaborate with both technical and non-technical stakeholders
Preferred
Experience with voice-enabled AI agents (STT, TTS, WebRTC, Twilio Voice, Socket.IO, VAPI)
Multimodal models (e.g., GPT models including Realtime, Gemini Pro Vision, etc.)
Orchestrating multiple models (routing, ensembles, fallback strategies)
Familiarity with AI experiment tracking and evaluation frameworks (e.g., OpenAI Evals, Langsmith Evals, etc.)
Feature stores, data versioning (e.g., Feast, DVC), and MLOps workflows
Browser automation software such as PlayWright
Background in AI security, privacy, and compliance (PII handling, SOC2, GDPR considerations)
A/B testing and online experimentation for AI features
Company
Robert Half
🔒 At Robert Half, we prioritize your security—if you believe you've encountered a scam or fraudulent recruiter, please report it immediately to https://www.roberthalf.com/us/en/fraud-alert.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-01-13IPO
Leadership Team
Keith Waddell
President and CEO
Paul Gentzkow
President and Chief Executive Officer, Talent Solutions
Recent News
EIN Presswire
2025-04-14
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