Senior AI Software Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and implement LLM-based applications and agents, including APIs, backend services, tool invocation, structured outputs, and multi-step workflows.

• Create RAG and document processing pipelines that encompass data ingestion, embeddings, vector search, and reranking.

• Integrate evaluation processes into every release using test datasets, regression testing, quality metrics, and human assessment.

• Collaborate with platform and DevOps engineers to deploy solutions in production utilizing CI/CD, containers, monitoring, and cost management.

• Partner with security engineers on access control, audit logging, PII management, AI-action approval procedures, and federal authorization documentation.

• Generate technical documentation, architecture diagrams, deployment protocols, and operational runbooks.

• Provide guidance to both technical and non-technical stakeholders regarding trade-offs and suggested strategies.

• Mentor fellow engineers.

• Work alongside developers and government stakeholders to deliver secure and reliable AI solutions within a federal cloud setting.

⛳️ Requirements

• Bachelor's degree or equivalent professional experience.

• Over 7 years of experience in software engineering, including at least 1 year focused on LLM-based applications; or 5+ years in AI or ML application development, with 2+ years dedicated to LLMs.

• At least one LLM application developed and maintained in a production environment beyond a basic chat interface.

• Familiarity with agent frameworks such as LangGraph, LangChain, Strands Agents, or CrewAI.

• Proficient in Python, including API development, backend services, Git, automated testing, and code review.

• Experience with leading model providers such as OpenAI, Anthropic, Google, Azure AI, or Amazon Bedrock.

• Skilled in deploying and troubleshooting cloud applications using containers and CI/CD practices.

• Capability to obtain and maintain a Public Trust clearance.

• NACLC (T3) public trust requirement.

• US Citizenship is not a requirement.

• Preferred: Experience with LLM evaluation, tracing, and prompt versioning tools such as LangSmith, Langfuse, or Ragas.

• Preferred: Development and integration experience with Model Context Protocol (MCP) servers.

• Preferred: Familiarity with AWS, Amazon Bedrock or Bedrock AgentCore, or relevant AWS certifications.

• Preferred: Experience in fine-tuning or customizing foundational models; knowledge in knowledge bases and vector stores.

• Preferred: Infrastructure as code experience with Terraform.

• Preferred: Knowledge of containerized microservice architectures.

• Preferred: Experience supporting scientific research, federal government, healthcare, or similarly regulated domains.

🏝️ Benefits

• Options for medical plans, including those with Health Savings Accounts.

• Dental plan choices.

• Vision plan availability.

• 401(k) plan with pre-tax and post-tax contributions along with company matching.

• Flexible work weeks where feasible.

• Paid vacation, sick leave, personal time, holidays, parental leave, military leave, bereavement leave, and jury duty leave.

• Generally, 15 days of paid leave each calendar year.

• 10 paid holidays annually.

• Eligible employees may receive up to 160 hours of paid family leave in a rolling 12-month period.

• Short- and long-term disability insurance options.

• Life insurance coverage.

• Accidental death and dismemberment insurance.

• Personal accident insurance.

• Critical illness insurance.

• Business travel and accident insurance.