Remote Unity Vr Developer Jobs in Philadelphia, PA

Job Overview:

Pay Range: $55/hr - $60/hr

Requirement/Must Have:

• Expertise in LangChain, LlamaIndex, Semantic Kernel, AutoGen, or equivalent.
• Strong experience with Unity Catalog, Delta Lake, Vector Search, Databricks Workflows, and Model Serving.
• Hands-on with Lakehouse architecture patterns.
• Experience with open-source LLMs (Llama, Mistral, etc.), prompting techniques, and fine-tuning approaches.
• Strong knowledge of RAG architectures and embedding strategies.
• Expertise in LangChain, LlamaIndex, Semantic Kernel, AutoGen, or equivalent.
• Experience building agentic workflows and multi-agent systems.
• Advanced Python proficiency (APIs, web apps, orchestration, data processing).
• Familiarity with REST APIs and microservices architecture.
• Experience with MLflow, CI/CD pipelines, model lifecycle management, and observability tools.
• Knowledge of drift detection and model performance monitoring.
• Experience with Spark, SQL, and large-scale data processing.
• Familiarity with streaming frameworks (Kafka, Structured Streaming).
• Expertise in AI security risks (prompt injection, jailbreaks, data leakage).
• Experience implementing governance frameworks and compliance controls.

Responsibilities:

• Build and orchestrate autonomous AI agents with multi-step reasoning, tool usage, and workflow chaining using frameworks like LangChain, CrewAI, AutoGen, Semantic Kernel, or LlamaIndex.
• Deploy, fine-tune, and serve open-source LLMs (e.g., Llama 3) using Databricks Model Serving; optimize latency, throughput, and cost.
• Design advanced RAG pipelines leveraging vector search, embeddings, semantic ranking, and enterprise data sources (structured + unstructured).
• Develop prompt strategies, memory frameworks, and metadata tagging to improve contextual accuracy and response quality.
• Build intuitive AI-driven applications using Databricks Apps (Streamlit/Dash) or modern web frameworks to enable business consumption.
• Build reliable data pipelines (batch & streaming) supporting training, inference, and feature generation using Delta Lake.
• Implement enterprise-grade controls using Unity Catalog (row/column-level security, lineage, auditability) aligned with compliance standards.
• Implement guardrails (e.g., NeMo Guardrails) for prompt injection prevention, hallucination mitigation, and safe output handling.
• Establish CI/CD pipelines for AI models and agents, including versioning, monitoring, drift detection, observability, and incident response.
• Optimize model performance, GPU/compute usage, and inference cost efficiency across environments.
• Testing & Evaluation.
• Collaboration & Stakeholder Engagement.
• Documentation & Knowledge Transfer.