SR GEN AI Engineer

Job Title: SR GEN AI Engineer

Location: Dallas Tx

Duration: 12 Months + Extension

Bill Rate: $87/hour

Job Type: W-2 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

POSITION OVERVIEW :

Job Description :

• We are looking for a talented Generative AI Engineer to design, develop, and deploy AI-powered applications using large language models, generative AI techniques, and modern machine-learning technologies.
• The ideal candidate will have strong software engineering skills, practical experience with LLMs, and the ability to translate business requirements into reliable, scalable AI solutions.

Key Responsibilities

• Design and develop generative AI applications using large language models and multimodal models.
• Build and optimize Retrieval-Augmented Generation (RAG) systems, AI agents, and conversational applications.
• Develop prompt-engineering strategies, evaluation frameworks, and model fine-tuning workflows.
• Integrate commercial and open-source models through APIs and machine-learning frameworks.
• Work with vector databases, embeddings, document-processing pipelines, and knowledge bases.
• Develop scalable, secure, and production-ready AI services and APIs.
• Evaluate model performance for accuracy, relevance, latency, cost, safety, and reliability.
• Implement monitoring, observability, guardrails, and responsible-AI practices.
• Collaborate with product managers, data scientists, software engineers, and domain experts.
• Conduct research and stay current with developments in LLMs, foundation models, agentic systems, and AI infrastructure.
• Contribute to technical documentation, architecture decisions, testing, and code reviews.

Required Qualifications

• Bachelor s or master s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• [2 5] years of experience in software engineering, machine learning, or AI development.
• Strong programming skills in Python and experience with software development best practices.
• Hands-on experience with LLMs, prompt engineering, embeddings, and RAG architectures.
• Experience with frameworks such as LangChain, LlamaIndex, Semantic Kernel, Hugging Face, PyTorch, or TensorFlow.
• Experience working with APIs, microservices, REST, databases, and cloud platforms.
• Knowledge of vector databases such as Pinecone, Weaviate, Milvus, Chroma, or pgvector.
• Understanding of machine-learning concepts, model evaluation, and data-preparation techniques.
• Familiarity with Git, CI/CD, testing, containers, and deployment workflows.
• Strong analytical, problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Experience fine-tuning or adapting foundation models using techniques such as LoRA or PEFT.
• Experience with AI agents, tool calling, function calling, and workflow orchestration.
• Knowledge of multimodal AI, speech models, computer vision, or document intelligence.
• Experience with cloud AI services such as AWS Bedrock, Amazon SageMaker, Azure OpenAI, Google Vertex AI, or Google Cloud AI.
• Familiarity with Kubernetes, Docker, MLflow, model serving, and MLOps.
• Knowledge of AI security, privacy, governance, bias mitigation, and content-safety practices.
• Experience building enterprise-grade AI products or customer-facing applications.
• Contributions to open-source projects, technical publications, or AI research.

Technology Stack

• Languages: Python, SQL, JavaScript/TypeScript
• AI/ML: OpenAI, Anthropic, Gemini, Hugging Face, PyTorch, TensorFlow
• Frameworks: LangChain, LlamaIndex, FastAPI
• Databases: PostgreSQL, Redis, vector databases
• Cloud: AWS, Microsoft Azure, or Google Cloud
• DevOps: Docker, Kubernetes, GitHub Actions, CI/CD, monitoring platforms
  Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.