Senior AI Engineer: Agentic AI & RAG (Remote)

APA; Washington (District of Columbia); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Remote Work/Flexible Scheduling

401(k) with employer match up to 4%

Medical, dental, and vision insurance

Paid personal/vacation time plus 12‑f{

Family/Medical Leave

Tuition assistance

Employee Assistance Program

Short/long‑term disability insurance

And more.

Job summary

APA is seeking a seasoned software engineer to design, build, and operate agentic AI and RAG services that automate multi‑step business workflows with strong guardrails and observable AI systems. You will collaborate with engineering and business stakeholders to deliver deployable solutions with measurable quality and ongoing iteration.

The role requires 5+ years of Python experience, hands‑on production delivery of Generative AI, and familiarity with AWS, CI/CD, and tool‑calling patterns.

Qualifications

• Bachelor’s degree in computer science, Engineering, Information Systems, or related field; equivalent practical experience considered.
• 5+ years of core software engineering excellence in Python and cloud environments, including at least 1–2 years of specialized, hands‑on delivery of production‑grade Generative AI and agentic solutions.
• Demonstrated experience designing or implementing agentic or tool‑orchestrated AI workflows (multi‑step execution, tool calling/function calling, reliability patterns).
• Practical experience building RAG systems end‑to‑end (ingestion → chunking → embeddings → retrieval → generation), including vector search/semantic retrieval concepts and tuning for relevance/latency.
• Strong hands‑on delivery experience building and operating production Python services (APIs, testing, packaging, performance, reliability).
• Experience deploying and operating services on AWS, making sound choices for availability, latency, and cost.
• Experience with CI/CD and operational best practices for service delivery (build/release automation, environments, monitoring/alerting).

Responsibilities

• Design and build agentic AI workflows that can plan and execute complex, multi‑step tasks using approved agent frameworks; ensure predictable behavior through explicit tool boundaries, permissions, and safety controls.
• Build and maintain RAG solutions end‑to‑end, including ingestion pipelines, chunking/embedding approaches, retrieval strategies, and generation prompts—optimized for relevance, latency, and reliability.
• Implement retrieval evaluation and continuous improvement loops by defining measurable quality signals (e.g., retrieval relevance/coverage) and iterating based on observed results and regressions.
• Integrate tools and data sources using MCP (Model Context Protocol) or equivalent standard interfaces to provide consistent, secure tool access and reduce one‑off integrations.
• Deploy and operate AI services on AWS (e.g., Lambda, SageMaker, ECS/EKS) with strong operational practices: logging, monitoring, alerting, and well‑understood failure modes.
• Engineer robust runtime behavior including error handling, retries, fallbacks, circuit breakers, and guardrails to maintain safe, reliable workflows.
• Enable workflow automation and integration by identifying high‑value repetitive processes and delivering AI‑driven automation layers that integrate into enterprise systems and platforms.
• Create and maintain technical documentation for architectures, interfaces, evaluation approaches, and operational runbooks to support maintainability and auditability.
• Collaborate cross‑functionally with product/business stakeholders to translate workflows into well‑scoped deliverables and to validate outcomes against measurable success criteria.
• Other duties as assigned.

Skills

Agent frameworks

Python

AWS

CI/CD

RAG workflows

Vector search

Observability

Git

Tool calling

LangChain

Education

Bachelor’s degree in computer science, Engineering, Information Systems, or related field

Equivalent practical experience

Tools

OpenSearch

Pinecone

Weaviate

pgvector

Job description

APA is seeking a seasoned software engineer to design, build, and operate agentic AI and RAG services that automate multi‑step business workflows with strong guardrails and observable AI systems. You will collaborate with engineering and business stakeholders to deliver deployable solutions with measurable quality and ongoing iteration.

The role requires 5+ years of Python experience, hands‑on production delivery of Generative AI, and familiarity with AWS, CI/CD, and tool‑calling patterns.