Senior Software Engineer (GenAI)

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