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

Innova Solutions•Plano, TX

16h•Onsite

About The Position

We are looking for a Software Engineer in Plano, TX for a Contract to Hire position with a duration of 6+ Months. The ideal candidate must be proficient in Java or Python with hands-on experience in AI/ML architecture, production deployment, CICD pipelines, and API building. This role requires extensive software development experience and a strong background in building AI/ML applications in a production environment.

Requirements

Java or Python proficiency
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

Responsibilities

Hands-on work in production AI/ML architecture
CICD pipeline development and maintenance
API building
Building AI/ML applications in production
Implementing RAG architectures including chunking strategies, embedding models, and vector stores
Utilizing AI orchestration frameworks like LangChain, LlamaIndex, Semantic Kernel, or CrewAI
Working with AWS Bedrock, Anthropic Claude models, and model invocation APIs
Applying prompt engineering skills (system prompts, few-shot, chain-of-thought, tool use, structured outputs)
Building conversational AI, including chatbots and voicebots with speech-to-text and text-to-speech integration
Proficiency with AWS services such as Lambda, Step Functions, API Gateway, S3, DynamoDB, and SQS
Experience with CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code
Designing APIs (REST, GraphQL) and understanding microservices architecture and event-driven systems
Implementing guardrails, content filtering, and responsible AI practices