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Job Description
AI/ML Engineer (Contract to Hire | Plano, TX,) Position Overview We are seeking a highly experienced AI/ML Engineer with a strong background in software development, AI/ML architecture, and production deployments . This role is part of an innovative initiative within the Chase Travel domain , focused on leveraging AI to enhance customer and business experiences.
This is a contract-to-hire opportunity (603 level) offering exposure to cutting-edge AI technologies. Due to confidentiality, detailed project information will be shared during the interview process. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions in production environments Architect and implement RAG-based systems for enterprise use cases Build and integrate APIs and microservices supporting AI-driven applications Develop conversational AI systems including chatbots and voicebots Implement robust CI/CD pipelines and deployment strategies Collaborate with cross-functional teams on cloud-native AI solutions (AWS) Ensure responsible AI usage including guardrails, content filtering, and evaluation frameworks Required Skills & Qualifications
Core Experience 10+ years of software development experience ( Java or Python required ) 2+ years of hands-on experience building AI/ML applications in production Strong experience in AI/ML architecture and deployment strategies
AI/ML & LLM
Expertise Strong proficiency in RAG architectures Chunking strategies Embedding models Vector databases: Pinecone, OpenSearch, pgvector, FAISS Experience with AI orchestration frameworks : LangChain, LlamaIndex, Semantic Kernel, or CrewAI Hands-on experience with AWS Bedrock , Anthropic Claude models , and model invocation APIs Strong prompt engineering capabilities: System prompts, few-shot learning, chain-of-thought reasoning, structured outputs AI Application Development Experience building conversational AI systems (chatbots and/or voicebots) Knowledge of speech-to-text and text-to-speech integrations Cloud & DevOps Proficiency with AWS services : Lambda, Step Functions, API Gateway, S3, DynamoDB, SQS Experience with CI/CD pipelines , containerization ( Docker ), and orchestration (ECS/EKS) Infrastructure-as-code exposure Software Architecture Strong understanding of: API design (REST, GraphQL) Microservices architecture Event-driven systems Additional Expertise Familiarity with LLM evaluation frameworks Experience implementing AI guardrails and responsible AI practices Must-Have Skills (Summary) Java or Python Production-level AI/ML experience AI/ML architecture expertise CI/CD pipelines API development Additional Notes Project details are confidential and will be disclosed during the interview process Strong emphasis on hands-on experience in production environments