Gen AI Engineer

• Design, develop, and implement Generative AI solutions using LLMs and foundation models.
• Build AI applications such as chatbots, virtual assistants, document intelligence, and automated content-generation solutions.
• Develop and optimize prompts and prompt engineering strategies to improve model performance and accuracy.
• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise data sources.
• Integrate AI models through APIs and frameworks such as LangChain, LlamaIndex, or similar technologies.
• Fine-tune, evaluate, and optimize machine learning and language models where required.
• Work closely with data engineers, software developers, product teams, and business stakeholders to deliver AI solutions.
• Develop scalable and secure AI applications and deploy them in cloud environments.
• Monitor AI model performance, accuracy, reliability, and responsible AI considerations.
• Stay updated with the latest advancements in Generative AI, LLMs, and machine learning technologies., Role: AI/ML Software Engineer Location: Plano, TX Duration: 6 Months Contract Employment: W2 (USC/GC Only) Pay Rate: $65-70/hr w2 Interview: 2 rounds virtual; final round fac…
• 13 hours ago

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong programming experience in Python.
• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Experience with Prompt Engineering and optimizing prompts for different use cases.
• Knowledge of RAG architectures, embeddings, and vector databases.
• Experience with frameworks such as LangChain, LlamaIndex, Hugging Face, or similar.
• Understanding of machine learning and NLP concepts.
• Experience integrating AI/ML models through APIs and microservices.
• Knowledge of cloud platforms such as Azure, AWS, or Google Cloud.
• Experience with databases, APIs, Git, and software development best practices.

Preferred Skills

• Experience with OpenAI, Azure OpenAI, Anthropic, or open-source LLMs.
• Knowledge of vector databases such as Pinecone, FAISS, Chroma, or Weaviate.
• Experience with MLOps, Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of AI safety, responsible AI, and data privacy principles.
• Experience deploying AI solutions in enterprise environments.

Key Competencies

• Strong analytical and problem-solving skills.
• Ability to translate business requirements into AI-driven technical solutions.
• Excellent communication and collaboration skills.
• Passion for exploring and implementing emerging AI technologies.

Ideal Candidate: A hands-on engineer who can take a Generative AI solution from concept to production, with strong expertise in LLMs, Prompt Engineering, RAG, Python, and cloud-based AI services.