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GenAI Engineer
Job in
Irving, Dallas County, Texas, 75039, USA
Listed on 2026-06-03
Listing for:
SGA Inc.
Full Time
position Listed on 2026-06-03
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Responsibilities :
- AI Agent Development:
Build and orchestrate AI agents using frameworks like Lang Chain, Auto Gen, or CrewAI, implementing self-healing workflows (e.g., Act-Verify-Refine loops).
LLM Integration & Backend:
Develop robust backend systems using Python and Type Script, integrating LLMs into microservices architectures.
Data Management for LLMs:
Utilize vector databases (Pinecone, Milvus, Weaviate) for agent memory and architect Retrieval-Augmented Generation (RAG) pipelines to enhance LLM accuracy and contextual understanding.
Prompt Engineering:
Design and optimize prompt strategies, including automated evaluation frameworks, for high-quality LLM output.
Context Engineering:
Manage LLM information ecosystems, including system prompts, RAG implementation, and conversation history.
MLOps & Deployment:
Oversee the end-to-end lifecycle of generative models, focusing on inference speed, cost-efficiency, and scalability on cloud platforms (AWS, GCP, Azure).
AI Ethics & Compliance:
Ensure adherence to security standards, IP regulations, and safety guidelines for all generative models.
Tool Orchestration:
Define and manage the API/tool access for AI agents to optimize accuracy.
- Technical Proficiency:
Strong command of Python, PyTorch, Tensor Flow, and Hugging Face libraries.
GenAI
Experience:
Hands-on experience with Lang Chain, Llama Index, vector databases, and fine-tuning techniques (LoRA, QLoRA).
API & Backend:
Proven ability to integrate AI models into web applications via APIs (OpenAI, Anthropic).
Software Engineering:
Solid understanding of software engineering best practices, including Git, CI/CD, and Docker.
- Experience with multimodal AI models (image, video, audio generation).
Published AI/LLM research or contributions to open-source AI projects.
Background in AI governance or safety policy development.
Be yourself, love what you do and find your passion ase find us at .
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities.
Please visit our company to request an accommodation or assistance regarding our policy.
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