AI Engineer

🕒 May 6

☕ Washington – Remote

☕ Washington – Remote

💵 $130k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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BLEN Corp

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2004

🤖 Artificial Intelligence

☁️ SaaS

🏛️ Government

Artificial Intelligence • SaaS • Government

BLEN Corp is a digital services company specializing in emerging technologies such as machine learning and artificial intelligence, robotic process automation, and digital modernization. They focus on migrating legacy systems to the cloud and design human-centered web and mobile applications to enhance user experience. BLEN provides secure software development and DevSecOps, simplifying complex websites with robust content management systems, and leveraging data analytics for informed decision-making. Their expertise in cloud engineering enables them to offer cloud-agnostic and cloud-native solutions on platforms like AWS, Azure, and GCP. Additionally, they deliver intelligent automation to increase productivity and efficiency for federal agencies. Partnering with both businesses and government agencies, their mission is to drive innovative solutions and create real value for their clients.

📋 Description

• Design and build agentic systems — multi-step agents that plan, call tools, retrieve context, and take action with appropriate human-in-the-loop checkpoints • Build MCP servers and clients to securely expose client data, internal tools, and APIs to LLMs in a standardized, auditable way • Ship LLM-powered applications: copilots, document intelligence, search, summarization, and workflow automation • Design and maintain RAG pipelines — chunking, embeddings, vector stores, retrieval, reranking, and grounding • Integrate model APIs (OpenAI, Anthropic, Bedrock, Azure OpenAI, open-weight models) and pick the right model for the job based on quality, latency, and cost • Develop evals and observability for agents and AI features so we know what's working in production and what's regressing • Apply prompt engineering, structured outputs, function/tool calling, and guardrails to make agent behavior predictable • Write production Python backends and APIs that expose AI capabilities to web and mobile clients • Collaborate with engineers, designers, and product folks to scope what AI should (and shouldn't) do in a given product • Help shape responsible AI practices for federal use — privacy, security, auditability, and human oversight

🎯 Requirements

• 5+ years of professional software engineering experience, with at least 1 year shipping LLM-based or AI-powered features to production • Hands-on experience designing or building agentic systems — tool calling, multi-step reasoning, planning loops, or agent orchestration (LangGraph, CrewAI, OpenAI Agents SDK, Claude tool use, or equivalent) • Working knowledge of the Model Context Protocol (MCP) — or demonstrated ability to pick it up quickly, plus familiarity with the broader landscape of agent/tool standards • Strong Python and experience building and deploying backend services and APIs (FastAPI, Flask, or similar) • Hands-on experience with at least one major LLM provider (OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex, or open-weight models via vLLM/Ollama) • Working knowledge of RAG: embeddings, vector databases (pgvector, Pinecone, Weaviate, Qdrant, or similar), and retrieval evaluation • Comfort with prompt engineering, structured outputs (JSON mode, schemas), and tool/function calling • Experience writing evals — even lightweight ones — for non-deterministic systems • Solid SQL and experience with relational and unstructured data • Familiarity with at least one cloud platform (AWS, Azure, or GCP) • Git, code review, and modern collaborative workflows • Strong written and verbal communication — you can explain AI tradeoffs to non-technical stakeholders.

🏖️ Benefits

• Competitive pay • Contribution toward health benefits • Work from anywhere in the US • High-visibility federal projects with real impact • Small team where your ideas actually ship • Generous exposure to the latest AI tooling and models