Senior AI/ML Engineer — Python & AWS in Production

Innova Solutions Inc

Plano (TX)

On-site

USD 102,000 - 146,000

Part time

14 days+
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Benefits offered by this job

Medical & pharmacy coverage
Dental & vision insurance
401(k)
HSA & FSA
Life Insurance
Disability coverage
Legal protection
Paid time off

Job summary

Innova Solutions is seeking a Software Engineer for a Plano, TX engagement with a 6+ month contract-to-hire. The role requires Java or Python expertise, 10+ years in software development, and 2+ years building AI/ML apps in production.

Expect hands-on work with AI/ML architectures, RAG models, and production CI/CD pipelines. Candidates should be proficient with cloud services (AWS), modern APIs (REST/GraphQL), and containerization (Docker, ECS/EKS).

Qualifications

  • 10+ years of software development experience in Java or Python.
  • 2+ years building AI/ML applications in production.
  • Proficient in Java or Python with AI/ML architecture.
  • Experience with production CI/CD pipelines and API building.
  • Strong knowledge of RAG architectures and embedding models.
  • Familiar with vector stores (Pinecone, OpenSearch, pgvector, FAISS).
  • Experience with LangChain, LlamaIndex, Semantic Kernel, or CrewAI.
  • Hands-on with AWS Bedrock and Claude models.
  • Proficient in API design (REST, GraphQL) and microservices.
  • Experience with guardrails, responsible AI practices.

Skills

Java
Python
AI/ML development
Prompt engineering
REST APIs
GraphQL
CI/CD pipelines
Docker
Kubernetes
AWS Lambda
LangChain
LlamaIndex
Semantic Kernel
CrewAI
Vector stores

Tools

Pinecone
OpenSearch
pgvector
FAISS
CrewAI
Semantic Kernel
AWS Bedrock
Claude
DynamoDB
S3
API Gateway
ECS/EKS

Job description

Innova Solutions is seeking a Software Engineer for a Plano, TX engagement with a 6+ month contract-to-hire. The role requires Java or Python expertise, 10+ years in software development, and 2+ years building AI/ML apps in production.

Expect hands-on work with AI/ML architectures, RAG models, and production CI/CD pipelines. Candidates should be proficient with cloud services (AWS), modern APIs (REST/GraphQL), and containerization (Docker, ECS/EKS).

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