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Job Description: Senior Software Engineer (GenAI)- job post
Scopewell Solutions
Atlanta, GA•Remote
$55 - $70 an hour
Scopewell Solutions
Atlanta, GA•Remote
$55 - $70 an hour

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Certifications

AWS Certified Developer – Associate

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Skills

Python
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JavaScript
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Pandas
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Education

Master's degree

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Job details
Here’s how the job details align with your profile.
Pay

$55 - $70 an hour
 
Full job description
[Confidential Healthcare Client]


Sr. Software Engineer – Generative AI

Location: REMOTE
Contract Term: 6 months+ with likely extensions
Employment Type: W2 (H1B sponsorship and C2C eligible)
Pay Rate: $55–$70/hr
Client Industry: Healthcare / Hospital Innovation


Role Overview:

A leading hospital system is seeking a Sr. Software Engineer – Gen AI to join its growing team. This role is ideal for a self-driven engineer who thrives in ambiguity and enjoys building end-to-end generative AI applications from the ground up. You’ll be developing solutions across AWS and Azure, with a strong emphasis on compliance, scalability, and production-level readiness in healthcare environments.


Key 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 using:
AWS: Bedrock, SageMaker, Kendra, Lambda, HealthLake
Azure: OpenAI, Azure ML, Cognitive Search, Functions, Health Data Services
Evaluate and integrate third-party platforms such as OpenAI, Anthropic, and Cohere.
Implement LLM evaluation frameworks (RAGAS, hallucination checks, human-in-the-loop).
Solve technical challenges related to scale, performance, and regulatory compliance.
Build internal tools and UIs using React, REST, and GraphQL to operationalize AI systems.

Required Experience:

3+ years of hands-on AI/ML development experience, with 1+ year in generative AI (LLMs, RAG pipelines, agents).
Proven ability to work independently and drive projects to completion in a fast-paced environment.
Expertise in Python, with experience in TypeScript or JavaScript.
Production experience with:
LLM frameworks such as LangChain and LlamaIndex
Vector databases (OpenSearch, Pinecone, FAISS, Weaviate)
Strong CI/CD pipeline experience using modern DevOps practices and Git workflows.
Familiarity with regulated environments (e.g., HIPAA) is a strong plus.
Exposure to traditional ML (e.g., pandas, scikit-learn, EDA).
Full-stack development proficiency (React, REST/GraphQL).
Experience with observability tools like CloudWatch and Grafana.

Preferred Certifications:

AWS Certified Developer or Solutions Architect
Microsoft Certified: Azure AI Engineer

Education:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field