AI Engineer Job New York City area,New York USA,Software Development

About the job AI Engineer

Job Title: AI Engineer Agentic & RAG Systems

Location: Remote

Department: AI & Data Platforms

Compensation: Up to $160k Base + 12% bonus

About the Role

As an AI Engineer, you will design, build, and operate Agentic AI systems end-to-end from concept to production. You'll work on multi-agent orchestration, Retrieval-Augmented Generation (RAG), evaluation frameworks, and AI guardrails to build safe, reliable, and high-performing systems.

You will collaborate cross-functionally with product, ML, and design teams bringing ideas to life through strong engineering execution, clear communication, and a low-ego, problem-solving mindset.

Key Responsibilities

1. RAG Development & Optimization

Design and implement Retrieval-Augmented Generation pipelines to ground LLMs in enterprise or domain-specific data.
Make strategic decisions on chunking strategy, embedding models, and retrieval mechanisms to balance context precision, recall, and latency.
Work with vector databases (Qdrant, Weaviate, pgvector, Pinecone) and embedding frameworks (OpenAI, Hugging Face, Instructor, etc.).
Diagnose and iterate on challenges like chunk size trade-offs, retrieval quality, context window limits, and grounding accuracy using structured evaluation and metrics.

2. Chatbot Quality & Evaluation Frameworks

Establish comprehensive evaluation frameworks for LLM applications, combining quantitative (BLEU, ROUGE, response time) and qualitative methods (human evaluation, LLM-as-a-judge, relevance, coherence, user satisfaction).
Implement continuous monitoring and automated regression testing using tools like Lang Smith, Lang Fuse, Arize, or custom evaluation harnesses.
Identify and prevent quality degradation, hallucinations, or factual inconsistencies before production release.
Collaborate with design and product to define success metrics and user feedback loops for ongoing improvement.

3. Guardrails, Safety & Responsible AI

Implement multi-layered guardrails across input validation, output filtering, prompt engineering, re-ranking, and abstention (I dont know) strategies.
Use frameworks such as Guardrails AI, NeMo Guardrails, or Llama Guard to ensure compliance, safety, and brand integrity.
Build policy-driven safety systems for handling sensitive data, user content, and edge cases with clear escalation paths.
Balance safety, user experience, and helpfulness, knowing when to block, rephrase, or gracefully decline responses.

4. Multi-Agent Systems & Orchestration

Design and operate multi-agent workflows using orchestration frameworks such as Lang Graph, Auto Gen, CrewAI, or Haystack.
Coordinate routing logic, task delegation, and parallel vs. sequential agent execution to handle complex reasoning or multi-step tasks.
Build observability and debugging tools for tracking agent interactions, performance, and cost optimization.
Evaluate trade-offs around latency, reliability, and scalability in production-grade multi-agent environments.

Minimum Qualifications

Strong proficiency in Python (FastAPI, Flask, asyncio) and GCP experience is good to have
Demonstrated hands-on RAG implementation experience with specific tools, models, and evaluation metrics.
Practical knowledge of agentic frameworks (Lang Graph, Lang Chain) and evaluation ecosystems (Lang Fuse, Lang Smith).
Excellent communication skills, proven ability to collaborate cross-functionally, and a low-ego, ownership-driven work style.

Preferred / Good-to-Have Qualifications

Experience in traditional AI/ML workflows e.g., model training, feature engineering, and deployment of ML models (scikit-learn, Tensor Flow, PyTorch).
Familiarity with retrieval optimization, prompt tuning, and tool-use evaluation.
Background in observability and performance profiling for large-scale AI systems.
Understanding of security and privacy principles for AI systems (PII redaction, authentication/authorization, RBAC)
Exposure to enterprise chatbot systems, LLMOps pipelines, and continuous model evaluation in production.