AI/ML Engineer
Plano, Texas, United States of America
Contract
2 days ago
Key skills
PythonJavaAIMLLLMClaudeAnthropicRAGLangChainLlamaIndexPineconeGraphQLAWSDockerECSEKSLambdaS3DynamoDBSQSBedrockAPI GatewayCI/CD
About this role
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