AI Eng Lead/Manager at Blend360

Posted on

Columbia, MD
On-site

Industry: Artificial Intelligence

Job Type: Full-time

Experience Level: Mid-Senior Level

Job Description

Blend360 is hiring a Data Scientist for applied AI and prompt engineering in Columbia, Maryland. The full-time, on-site role designs, builds, and maintains LLM systems, retrieval pipelines, and agents, taking prototypes through production.

Responsibilities

  • Architect production AI solutions that use LLMs, transformers, retrieval, and agentic workflows.
  • Design and iterate on prompts, workflows, and RAG pipelines for accuracy, cost, latency, and safety.
  • Build multi-step agents that call tools and APIs, manage state, and handle reasoning chains.
  • Deploy and monitor generative AI pipelines for API, batch, and streaming use.
  • Build evaluation frameworks for grounding, factuality, latency, and cost.
  • Add guardrails for prompt injection, content checks, output validation, loop prevention, and tool-call limits.
  • Work with product, engineering, and ML operations to ship AI features end to end.

Requirements

  • 3 or more years of applied machine learning, with hands-on NLP, transformers, or generative AI work.
  • Hands-on experience with LLM libraries and services such as LangChain, LlamaIndex, the OpenAI API, CrewAI, Azure Prompt Flow, or AWS Bedrock agents.
  • Experience designing multi-step agents that combine LLM reasoning with tool and API calls.
  • Proven experience building and deploying machine learning models to production.
  • Fluency in Python and production-grade coding practices.
  • Ability to design and analyze experiments and track performance with metrics.
  • Ability to deploy and monitor AI applications on AWS, Azure, or GCP, including containers, versioning, and CI/CD.
  • Experience with privacy, safety guardrails, or related practices.
  • Degree in computer science, data science, engineering, or a related field, or equivalent experience.

Benefits

  • Starting pay range of $125,000 to $180,000, depending on experience, skills, certifications, training, and location.
  • Medical, dental, and vision coverage.
  • 401(k).
  • Paid time off and paid holidays.
  • Commuter benefits, spending accounts, life insurance, disability coverage, and an employee assistance program.
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