BLEN

BLEN

BLEN, Inc. is a veteran-owned digital agency in Washington D.C., specializing in cutting-edge digital solutions for federal agencies, non-profits, and enterprises. They excel in Application and Software Development, Website Development, and Visual Comm...

Internet Software & Services
11-50
Founded 2004

Description

  • Design and build multi-step agentic systems with tool use, retrieval, actions, and human-in-the-loop checkpoints.
  • Build MCP servers and clients that securely connect LLMs to client data, tools, and APIs.
  • Deliver LLM-powered copilots, document intelligence, search, summarization, and workflow automation applications.
  • Design and maintain RAG pipelines, including chunking, embeddings, vector stores, retrieval, reranking, and grounding.
  • Integrate and select model APIs based on quality, latency, and cost.
  • Develop evaluations and observability for production AI features and agents.
  • Apply prompt engineering, structured outputs, tool calling, and guardrails to improve predictable agent behavior.
  • Build production Python backends and APIs for web and mobile AI capabilities.
  • Collaborate with engineering, design, and product teams to define appropriate AI use cases.
  • Shape responsible AI practices covering privacy, security, auditability, and human oversight for federal work.

Requirements

  • 5+ years of professional software engineering experience, including 1+ year shipping LLM-based or AI-powered features to production.
  • Experience designing or building agentic systems, including tool calling, planning loops, multi-step reasoning, or agent orchestration.
  • Working knowledge of Model Context Protocol (MCP), or the ability to learn it quickly.
  • Strong Python skills and experience building and deploying backend services or APIs with FastAPI, Flask, or similar frameworks.
  • Hands-on experience with at least one major LLM provider, such as OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex, or open-weight models via vLLM or Ollama.
  • Experience with RAG, embeddings, vector databases, and retrieval evaluation.
  • Experience with prompt engineering, structured outputs, and function or tool calling.
  • Experience writing evaluations for non-deterministic systems.
  • Solid SQL skills and experience with relational and unstructured data.
  • Must be a U.S. citizen or legal resident, work domestically from the contiguous United States, and be able to attain a low-level security clearance.

Benefits

  • Competitive salary of $130,000–$200,000+ based on experience and impact, plus performance-based bonuses.
  • Work-from-anywhere flexibility within the contiguous United States.
  • Comprehensive medical, dental, vision, life, and disability insurance.
  • Up to 20+ days of PTO annually.
  • 401(k) retirement plan, FSA/HSA options, and commuter benefits.
  • Professional development, certifications, and continuous learning support.
  • Company-provided technology and access to productivity and AI tools.

Interested in this position?

Apply directly on the company website

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