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# Sr AI/ML Engineer with Python + AWS - Plano, TX

- **Company:** American CyberSystems
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Salary:** $70,400.0 - $105,600.0
- **Contract:** Temporary to permanent
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Continuous Integration, Amazon DynamoDB, Python (Programming Language), Machine Learning, Software Engineering, Speech Recognition, Chatbots, Large Language Models, Multi-Agent Systems, Prompt Engineering, State Machines, Web Filtering, Event Driven Architecture, Containerization, Graphql, Speech Synthesis, Api Design, Api Gateway, Amazon Simple Queue Service (SQS), Docker, Microservices
- **Published:** August 11, 2026
- **Apply:** https://www.jofdav.com/jobs/59187953-sr-ai-ml-engineer-with-python-aws-plano-tx

## About the Role

java or python
proficient with AI_ML architecture - hands on work in production
CICD pipeline
API building

 - 10+ years of software development experience (Java or Python)
 - 2+ years hands-on experience building AI/ML applications in production
 - Strong proficiency with RAG architectures - chunking strategies, embedding models, vector stores (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
 - Proven prompt engineering skills - system prompts, few-shot, chain-of-thought, tool use, structured outputs
 - Experience building conversational AI: chatbots (text) and voicebots (speech-to-text, text-to-speech integration)
 - Proficiency with AWS services (Lambda, Step Functions, API Gateway, S3, DynamoDB, SQS)
 - Experience with CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code
 - Strong understanding of API design (REST, GraphQL), microservices architecture, and event-driven systems
 - Familiarity with evaluation frameworks for LLM outputs
 - Experience with guardrails, content filtering, and responsible AI practices



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