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Job Title: Generative AI / Machine Learning Engineer
Experience: 3–8 Years
Location: Irving, TX
Work Authorization: Open to all visa holders
Job Overview
We are seeking a highly skilled Generative AI / Machine Learning Engineer to design, develop, and deploy cutting-edge AI solutions. The ideal candidate will have strong expertise in GenAI technologies, LLMs, and scalable ML systems, along with hands-on experience in modern AI frameworks and cloud platforms.
Key Responsibilities
- Design, develop, and implement scalable Generative AI solutions and machine learning models.
- Build and optimize prompt engineering strategies to enhance LLM performance and output quality.
- Develop and implement Retrieval-Augmented Generation (RAG) architectures for AI-driven applications.
- Integrate and fine-tune Large Language Models (LLMs) into production environments.
- Develop APIs and microservices for seamless integration of AI models into applications.
- Work on end-to-end AI/ML pipelines, including data ingestion, processing, and deployment.
- Collaborate with cross-functional teams to deliver robust AI-driven use cases.
- Deploy and manage AI solutions in cloud environments such as AWS, Azure, or Google Cloud.
- Stay current with advancements in Generative AI, machine learning, and cloud technologies.
Required Skills & Qualifications
- Strong experience in Generative AI and Machine Learning.
- Proficiency in programming languages such as Python, Java, or similar.
- Hands-on experience with GenAI tools and frameworks (e.g., LangChain, OpenAI, TensorFlow).
- Solid experience in Python frameworks such as Streamlit and FastAPI.
- Strong background in NLP techniques and tools (NLTK, SpaCy, BERT, SBERT).
- Experience working with vector databases (e.g., PGVector, Milvus, FAISS, Pinecone, Vespa).
- Experience in designing and deploying applications in cloud environments (AWS, Azure, Google Cloud Platform).
- Familiarity with AI/ML pipelines, APIs, and data integration techniques.
Preferred Skills
- Experience with LLM fine-tuning and optimization.
- Understanding of scalable architecture and distributed systems.
- Exposure to enterprise-level AI solution design.
Soft Skills
- Excellent communication and presentation skills.
- Strong analytical and problem-solving abilities.
- Ability to manage multiple priorities in a fast-paced environment.
- Proactive mindset with a passion for continuous learning and innovation.