Senior AI Engineer

TechDigital Group; Camden (NJ); Vor Ort; USD 110.000 - 150.000; Vollzeit

Zusammenfassung

TechDigital Group is seeking a skilled professional to develop AI systems using frameworks like LangChain and Databricks. Responsibilities include optimizing performance and creating advanced pipelines for AI data processing.

The ideal candidate should be proficient in Python, familiar with LLMs, and knowledgeable about AI security measures. Strong experience in MLOps and data engineering is crucial.

Qualifikationen

• Advanced Python proficiency required.
• Hands-on experience with Lakehouse architecture patterns.
• Expertise in AI security risks is necessary.

Aufgaben

• Build and orchestrate autonomous AI agents with multi-step reasoning.
• Design advanced RAG pipelines leveraging vector search.
• Establish CI/CD pipelines for AI models.

Kenntnisse

Expertise in LangChain

Proficiency in Python

Experience with Databricks

Knowledge of RAG architectures

Familiarity with security & governance

Tools

MLflow

Spark

Delta Lake

Jobbeschreibung

Mandatory skill: Expertise in LangChain, LlamaIndex, Semantic Kernel, AutoGen, or equivalent

Key Responsibilities

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

Required Skills and Qualifications

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