AI Engineer

🕒 Maio 6

☕ Washington – Remoto

☕ Washington – Remote

💵 $130.000 - $150.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

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BLEN Corp

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2004

🤖 Inteligência Artificial

☁️ SaaS

🏛️ Governo

Artificial Intelligence • SaaS • Government

A BLEN Corp é uma empresa de serviços digitais especializada em tecnologias emergentes, como machine learning e inteligência artificial, automação de processos robóticos e modernização digital. Eles se concentram na migração de sistemas legados para a nuvem e no design de aplicações web e móveis centradas no usuário para melhorar a experiência do usuário. A BLEN fornece desenvolvimento de software seguro e DevSecOps, simplificando sites complexos com robustos sistemas de gestão de conteúdo, e aproveitando a análise de dados para a tomada de decisões informadas. Sua expertise em engenharia de nuvem permite oferecer soluções agnósticas e nativas na nuvem em plataformas como AWS, Azure e GCP. Além disso, eles oferecem automação inteligente para aumentar a produtividade e eficiência de agências federais. Em parceria com empresas e agências governamentais, sua missão é impulsionar soluções inovadoras e criar valor real para seus clientes.

Descrição

• 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

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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