This is a remote position. Please Note: 100% Remote Position within the United States

Position Summary: We are seeking a Senior AI/ML Engineer with deep experience building enterprise-grade AI systems and deploying LLM-powered applications.

This is a fully remote role requiring hands-on expertise with advanced AI/ML workflows, LLM integration, structured and unstructured data pipelines, and enterprise system integration.

The ideal candidate combines strong engineering skills, an iterative mindset, and the ability to translate ambiguous challenges into scalable, secure, and intelligent systems.

Requirements Key responsibilities: AI/ML & LLM Development

Integrate and fine-tune foundation models (OpenAI, Anthropic, Mistral, LLaMA, Mixtral)

Develop intelligent systems using agentic AI frameworks (LangChain, CrewAI, AutoGen, Semantic Kernel)

Implement RAG pipelines, prompt engineering, and hallucination mitigation techniques

Optimize open models using methods such as LoRA, PEFT

Data Ingestion & Entity Correlation

Build ingestion pipelines for diverse data types: CSV, PDFs, APIs, EHRs, logs, etc.

Engineer document loaders, chunking, and semantic search via FAISS, Weaviate, PGVector

Perform entity resolution and relationship mapping across structured/unstructured datasets

App & System Integration

Wrap AI models into scalable, modular backend services (FastAPI, Node.js, Python)

Develop APIs and optionally UIs (React) to expose AI functionality

Integrate with enterprise systems like Snowflake, SharePoint, Elastic, and ServiceNow

Security, Compliance & Deployment

Ensure compliance with PHI/PII/HIPAA data handling standards

Implement RBAC, secure APIs, and audit trails

Deploy via Docker, Kubernetes, or serverless platforms

Manage CI/CD and model versioning workflows

Experience, Skills & Technologies: Minimum 5 years of experience with proficiency in Languages & Frameworks:

Python, FastAPI, Node.js/TypeScript, React (bonus)

Pandas, Spark, Dask for data wrangling

Hands on experience in Orchestration & MLOps

Airflow, Prefect, Dagster (workflow orchestration)

MLflow, Nvidia Triton, or Ray (optional, for inference & model ops)

Expertise in Infrastructure & Tooling

Azure OpenAI, Vertex AI, GitHub Copilot

Vector DBs: Weaviate, PGVector, Pinecone, Chroma

Bonus Capabilities:

UX intuition for building data-discovery tools

Experience with multi-modal AI, agentic bots, or voice interfaces