Generative AI (GenAI) Engineer
Job Description
Location: Dallas, TX (Onsite / Hybrid – as per client requirement)
Employment Type: Full-Time / Permanent
Work Authorization: US Citizens (USC) and Green Card (GC) Holders Only
Experience: 5+ Years (Preferred)
Job Location: Dallas, Texas, USA
Job SummaryWe are seeking an experienced Generative AI (GenAI) Engineer to design, develop, and deploy innovative AI-powered applications and solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, Python, and cloud-based AI platforms.
The candidate will work closely with cross-functional teams to build scalable, secure, and production-ready Generative AI solutions that address business requirements.
Key Responsibilities- Design, develop, and deploy Generative AI applications using LLMs.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
- Implement prompt engineering techniques and LLM fine-tuning.
- Develop AI-powered chatbots, virtual assistants, and intelligent automation solutions.
- Integrate LLMs with enterprise applications, APIs, and databases.
- Work with vector databases such as Pinecone, FAISS, Weaviate, or ChromaDB.
- Develop scalable AI services using Python, FastAPI, and REST APIs.
- Implement model evaluation, monitoring, and performance optimization.
- Collaborate with data scientists, ML engineers, and software engineering teams.
- Ensure AI solutions meet security, scalability, and responsible AI standards.
- Strong programming experience in Python.
- Hands-on experience with Generative AI and Large Language Models (LLMs).
- Experience with OpenAI, Azure OpenAI, Anthropic Claude, or similar LLM platforms.
- Strong understanding of RAG architecture and implementation.
- Experience with LangChain or LlamaIndex.
- Knowledge of vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate.
- Experience with prompt engineering and model fine-tuning.
- Knowledge of REST APIs, FastAPI, and microservices.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Understanding of Machine Learning, NLP, and Deep Learning concepts.
- Experience with Hugging Face Transformers.
- Knowledge of AI agents and multi-agent frameworks.
- Experience with Docker and Kubernetes.
- Familiarity with MLOps and CI/CD pipelines.
- Experience deploying and monitoring production-grade AI applications.
- Knowledge of data processing and ETL pipelines.
Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.
Work AuthorizationOnly the following candidates will be considered:
- US Citizens (USC)
- Green Card Holders (GC)
No H-1B, OPT, CPT, or other visa sponsorship candidates.
Employment Details- Position: Full-Time / Permanent
- Location: Dallas, Texas
- Work Authorization: USC / GC Only
- Interested candidates: Please share your updated resume along with your current location, contact details, and work authorization status.
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A full-time year is 2,080 hours: $31 an hour is $64,480 a year before taxes, and $62,000 a year is $29.81 an hour. Pay calculator →
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