AI Engineer — Production AI for SaaS (Remote)

PlanSource; United States; On-site; USD 120,000 - 210,000; Full time

Benefits offered by this job

Health coverage

401(k) with match

Generous parental leave

Flexible PTO

Job summary

PlanSource is seeking an AI Engineer to design, build, deploy, and support AI-powered products and platform capabilities in a secure SaaS environment. You will work with product, platform engineering, security, and AI specialists across the United States and India to deliver scalable AI features.

You will own features, troubleshoot production issues, and contribute to the evolution of PlanSource's AI platform while mentoring with experienced leaders.

Qualifications

• Demonstrated experience taking software or AI-powered solutions from development through production deployment and ongoing operational support.
• Practical experience building, delivering, and supporting production software or AI-powered solutions in a professional environment.
• Strong Python development skills, including APIs, backend services, and asynchronous programming.
• Experience building applications using large language models such as OpenAI or equivalent platforms.
• Experience with Retrieval-Augmented Generation, embeddings, vector databases, and document processing pipelines.
• Experience with agent orchestration frameworks such as LangGraph, LangChain, or similar technologies.
• Experience deploying and supporting cloud-native applications in production environments.
• Working knowledge of Kubernetes, Docker, CI/CD pipelines, and infrastructure automation.
• Experience working with relational databases and SQL.
• Strong troubleshooting and problem-solving skills across distributed systems.
• Strong collaboration and communication skills, including experience working across geographically distributed teams.

Responsibilities

• Develop and maintain backend services powering AI-driven user experiences.
• Build and optimize agentic workflows that support complex business processes.
• Implement prompt engineering, content filtering, and response quality improvements using large language models.
• Integrate secure handling of sensitive information through masking, tokenization, and other privacy-preserving techniques.
• Support conversational experiences, workflow automation, human escalation scenarios, and streaming responses.
• Implement feedback mechanisms, session management, and audit capabilities.
• Build and enhance document ingestion pipelines for structured and unstructured content.
• Design and optimize chunking, embedding, retrieval, and ranking strategies.
• Improve semantic search quality through evaluation and experimentation.
• Implement secure multi-tenant access controls and data isolation.
• Support service-to-service integrations and authentication across AI components.
• Deploy and maintain observability tooling for AI applications, including tracing, latency analysis, cost monitoring, and prompt debugging.
• Build evaluation frameworks to measure retrieval quality, response quality, and task completion success rates.
• Investigate production issues involving model behavior, retrieval accuracy, latency, and integrations.
• Develop monitoring, alerting, operational dashboards, and support runbooks.
• Contribute to incident response, problem management, and continuous improvement activities.

Skills

Python programming

APIs & backend services

Asynchronous programming

LLM experience

Retrieval-Augmented Generation

LangGraph/LangChain

Cloud-native applications

CI/CD

Kubernetes

Relational databases

Tools

Python

FastAPI

LangGraph

LangChain

OpenAI APIs

PostgreSQL

pgvector

Docker

Kubernetes

AWS (EKS, S3, IAM)

ECR

CI/CD pipelines

Job description

PlanSource is seeking an AI Engineer to design, build, deploy, and support AI-powered products and platform capabilities in a secure SaaS environment. You will work with product, platform engineering, security, and AI specialists across the United States and India to deliver scalable AI features.

You will own features, troubleshoot production issues, and contribute to the evolution of PlanSource's AI platform while mentoring with experienced leaders.