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Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformJavaScriptKubernetesNode.jsPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Develop and deliver AI-driven enterprise quality software applications.
- Build scalable applications integrating Large Language Models and other AI tools (e.g. voice recognition, document parsing, image parsing, text to speech, RAG) into new and legacy codebases.
- Design and optimize data pipelines and datasets for AI system development and testing.
- Communicate modern AI concepts (LLMs, vector databases etc.) to non-technical audiences.
- Iteratively craft effective prompts to maximize LLM performance and implement prompt caching strategies.
- Maintain prompt libraries & benchmark performance.
- Fine-tune & serve GPT-family, Llama.
- Develop AI agents.
- Semantic Kernel.
- Prototype co-pilot experiences & autonomous workflows.
- Fully document all work at both the code level and application level.
- Collaborate with other staff and outside stakeholders on large projects.
- Adapt in a changing environment.
Requirements
What you’ll need- Minimum 4+ years of experience in Software development
- B.S. degree in Computer Science or related engineering discipline, or equivalent experience
- Minimum 4+ years of experience in developing AI-enhanced applications using LLMs, voice, image, or speech models.
- Proficiency in Python and AI related python libraries such as openai, tensorflow, pytorch
- Proficient in sensitivity metrics (precision, recall, F1-score, AUC-ROC) and MLOps for scalable, cost-efficient AI deployment.
- Skilled in building RAG systems from scratch or with LangChain / LlamaIndex, using vector databases for context-aware LLM applications.
- Experience using AI coding tools (e.g. Github Copilot, Cursor, Codeium /Windsurf)
- Expert in managing LLM costs (token pricing, input/output rates) via prompt caching, batching, and quantization.
- Deep understanding of LLM advancements (GPT-3.5 vs GPT-4 vs o1/”thinking” models) for informed model selection and tuning.
- Exceptional analytical skills to extract actionable insights from data
- Healthcare Domain Expertise, Translate clinical/business needs into AI solutions.
- Proficiency in creating Node.js web apps (e.g. Express.js)
- Experience with cloud (AWS/GCP/Azure)
- Effective communication skills to collaborate with technical, DevOps and product management teams.
- Experience with Git, Docker, and Kubernetes.
Benefits
Comp & perks- Competitive compensation package
- Annual bonus or long-term incentive opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonopenaitensorflowpytorchsensitivity metricsMLOpsRAG systemsLangChainLlamaIndexNode.js
Soft Skills
effective communicationanalytical skillscollaborationadaptability