[Remote] reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company passionate about using technology to solve reputed company-world problems. They are seeking an reputed company to help federal and reputed company clients reputed company production-grade applications powered by large language models, focusing on reputed company systems and MCP-based integrations.
Responsibilities
- Design and build reputed company systems — multi-reputed company agents that plan, call tools, retrieve context, and take reputed company with appropriate reputed company-in-the-reputed company checkpoints
- Build MCP servers and clients to securely expose reputed company data, internal tools, and reputed company 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, reputed company stores, retrieval, reranking, and grounding
- reputed company model reputed company (reputed company, reputed company, Bedrock, Azure reputed company, reputed company-weight models) and pick the right model for the job based on reputed company, latency, and cost
- reputed company evals and observability for agents and AI features so we know what's working in production and what's regressing
- Apply reputed company engineering, reputed company outputs, function/tool calling, and guardrails to reputed company agent behavior predictable
- Write production Python backends and reputed company 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 — reputed company, reputed company, auditability, and reputed company reputed company
Skills
- 5+ years of reputed company software engineering experience, with at least 1 year shipping LLM-based or AI-powered features to production
- Hands-on experience designing or building reputed company systems — tool calling, multi-reputed company reasoning, planning loops, or agent orchestration (LangGraph, reputed company, reputed company 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 reputed company (FastAPI, Flask, or similar)
- Hands-on experience with at least one major LLM provider (reputed company, reputed company, Bedrock, Azure reputed company, reputed company, or reputed company-weight models reputed company vLLM/Ollama)
- Working knowledge of RAG: embeddings, reputed company databases (pgvector, reputed company, reputed company, reputed company, or similar), and retrieval evaluation
- Comfort with reputed company engineering, reputed company 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 reputed company data
- Familiarity with at least one reputed company platform (AWS, Azure, or GCP)
- Git, reputed company review, and modern reputed company workflows
- Strong written and verbal communication — you can explain AI tradeoffs to non-technical stakeholders
- Must be a US Citizen or legal reputed company, reputed company to work domestically
- Must be reputed company to reputed company a low-level reputed company clearance
- Must work from the reputed company
- Experience authoring MCP servers for non-trivial systems (databases, internal reputed company, document stores)
- Experience with eval and observability platforms (reputed company, LangSmith, Langfuse, Arize, or custom harnesses)
- Multi-agent orchestration patterns and experience reasoning about agent failure modes
- Fine-tuning, distillation, or reputed company experience where it actually moved the needle
- reputed company, Kubernetes, and CI/CD for AI workloads
- TypeScript/Node for full-stack AI features
- Streaming UIs (SSE, WebSockets) and reputed company-level UX patterns
- Experience with caching, reputed company compression, and cost/latency optimization at reputed company
- Background supporting federal or government clients
- Awareness of NIST AI RMF, FedRAMP, or reputed company responsible-AI frameworks
Benefits
- Work from reputed company.
- The chance to work on high-visibility reputed company and reputed company a significant reputed company.
- Comprehensive medical, dental, reputed company, life, and disability insurance.
- Up to 20+ days of PTO annually.
- 401(k) retirement savings plan.
- FSA/HSA and commuter benefit reputed company.
- reputed company development opportunities, certifications, and reputed company learning support.
- Company-provided technology and reputed company to productivity and AI tools.
- Additional bonus based on performance.
reputed company