Senior AI/ML Developer

Vsg Business Solutions
Plano, United States of America
yesterday

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Plano, United States of America

Tech stack

Java
.NET
API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Cloud Computing
Amazon DynamoDB
Python
Machine Learning
Software Engineering
Chatbots
Large Language Models
Multi-Agent Systems
Prompt Engineering
State Machines
Generative AI
Event Driven Architecture
Containerization
Information Technology
GraphQL
Api Gateway
REST
Amazon Web Services (AWS)
Docker
Web Api
Microservices

Job description

  • Design and develop AI/ML applications using Java or Python.
  • Build and optimize Retrieval-Augmented Generation (RAG) solutions using vector databases and embedding models.
  • Develop conversational AI solutions, including chatbots and voicebots.
  • Build scalable APIs and microservices for AI applications.
  • Work with AWS Bedrock, Anthropic Claude models, and model invocation APIs.
  • Implement prompt engineering techniques, structured outputs, and tool integrations.
  • Design and deploy cloud-native solutions using AWS services.
  • Build and maintain CI/CD pipelines and containerized deployments using Docker and ECS/EKS.
  • Collaborate with cross-functional teams to deliver production-ready AI solutions.
  • Implement responsible AI practices, guardrails, and LLM evaluation frameworks., Our Client, an IT Services and Consultant company, is looking for a .Net Web API Senior Developer for their Plano, TX/Hybrid location. Responsibilities: Develop and maintain en…
  • 7 days ago

Requirements

  • 6-10 years of software development experience using Java or Python.
  • 2+ years of hands-on experience building production AI/ML applications.
  • Strong experience with RAG architectures, including chunking strategies, embedding models, and vector stores (Pinecone, OpenSearch, pgvector, FAISS).
  • Experience with AI orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI.
  • Hands-on experience with AWS Bedrock, Anthropic Claude models, and model invocation APIs.
  • Strong prompt engineering skills, including system prompts, few-shot prompting, tool use, and structured outputs.
  • Experience building conversational AI solutions (chatbots and/or voicebots).
  • Strong AWS experience with Lambda, Step Functions, API Gateway, S3, DynamoDB, and SQS.
  • Experience with CI/CD pipelines, Docker, ECS/EKS, and Infrastructure as Code.
  • Strong understanding of REST APIs, GraphQL, Microservices, and Event-Driven Architecture.
  • Familiarity with LLM evaluation frameworks and responsible AI practices.

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