Apolis
Location
Atlanta, GA - Join a dynamic team in the heart of a vibrant city known for its rich history, diverse culture, and thriving tech scene. Enjoy the benefits of a fully remote work environment while contributing to impactful projects.
Work Environment
100% remote. Collaborate closely with a leader and two other developers.
Job Type
Contract (6 Months)
Pay Range
$75 - $80/Hour
Interview Process
2 Steps
Must Haves Java AWS Python Azure Software Development Cloud Job Summary
Seeking a self-driven Sr. Software Engineer to independently design, develop, and optimize AI solutions on AWS and Azure. You'll own end-to-end development of generative AI applications, from prototyping to production, with a focus on healthcare-compliant deployments.
Job Responsibilities
Design and implement generative AI applications using LLMs (e.g., GPT, Claude, LLama), foundation models, and agentic frameworks (LangChain, Amazon Bedrock Agents, Azure Semantic Kernel, AutoGen). Develop and deploy AI systems on:
AWS: Bedrock, SageMaker, Kendra, Lambda, HealthLake. Azure: OpenAI, Azure ML, Cognitive Search, Functions, Health Data Services.
Evaluate and integrate third-party AI platforms (OpenAI, Anthropic, Cohere) based on project requirements. Design and implement LLM evaluation frameworks (RAGAS, hallucination checks, human-in-the-loop). Solve complex technical challenges related to scalability, performance, and compliance in AI systems. Build and maintain internal tools/UIs (React, REST/GraphQL) to operationalize AI capabilities. Experience
3 years of hands-on experience in AI/ML development, with 1 year focused on generative AI (LLMs, RAG, agents). Proven ability to work independently-you thrive in ambiguity and drive projects to completion. Expertise in Python and experience in other programming languages such as TypeScript/JavaScript. Production experience with:
LLM frameworks (LangChain, LlamaIndex). Vector databases (OpenSearch, Pinecone, FAISS, Weivate).
Experience in designing, implementing, and maintaining CI/CD pipelines using modern DevOps tools, with strong proficiency in Git for version control, branching strategies, and collaboration workflows. Familiarity with integrating security best practices throughout the software development lifecycle. Familiarity with regulated data environments (e.g., HIPAA) is a plus. Exposure to traditional ML (scikit-learn, pandas, EDA). Full-stack development (React, REST/GraphQL). Knowledge of observability tools (CloudWatch, Grafana) for monitoring AI systems.
Atlanta, GA - Join a dynamic team in the heart of a vibrant city known for its rich history, diverse culture, and thriving tech scene. Enjoy the benefits of a fully remote work environment while contributing to impactful projects.
Work Environment
100% remote. Collaborate closely with a leader and two other developers.
Job Type
Contract (6 Months)
Pay Range
$75 - $80/Hour
Interview Process
2 Steps
Must Haves Java AWS Python Azure Software Development Cloud Job Summary
Seeking a self-driven Sr. Software Engineer to independently design, develop, and optimize AI solutions on AWS and Azure. You'll own end-to-end development of generative AI applications, from prototyping to production, with a focus on healthcare-compliant deployments.
Job Responsibilities
Design and implement generative AI applications using LLMs (e.g., GPT, Claude, LLama), foundation models, and agentic frameworks (LangChain, Amazon Bedrock Agents, Azure Semantic Kernel, AutoGen). Develop and deploy AI systems on:
AWS: Bedrock, SageMaker, Kendra, Lambda, HealthLake. Azure: OpenAI, Azure ML, Cognitive Search, Functions, Health Data Services.
Evaluate and integrate third-party AI platforms (OpenAI, Anthropic, Cohere) based on project requirements. Design and implement LLM evaluation frameworks (RAGAS, hallucination checks, human-in-the-loop). Solve complex technical challenges related to scalability, performance, and compliance in AI systems. Build and maintain internal tools/UIs (React, REST/GraphQL) to operationalize AI capabilities. Experience
3 years of hands-on experience in AI/ML development, with 1 year focused on generative AI (LLMs, RAG, agents). Proven ability to work independently-you thrive in ambiguity and drive projects to completion. Expertise in Python and experience in other programming languages such as TypeScript/JavaScript. Production experience with:
LLM frameworks (LangChain, LlamaIndex). Vector databases (OpenSearch, Pinecone, FAISS, Weivate).
Experience in designing, implementing, and maintaining CI/CD pipelines using modern DevOps tools, with strong proficiency in Git for version control, branching strategies, and collaboration workflows. Familiarity with integrating security best practices throughout the software development lifecycle. Familiarity with regulated data environments (e.g., HIPAA) is a plus. Exposure to traditional ML (scikit-learn, pandas, EDA). Full-stack development (React, REST/GraphQL). Knowledge of observability tools (CloudWatch, Grafana) for monitoring AI systems.