Note: The job is a remote job and is open to candidates in USA. PlanSource is a leading cloud-based provider of benefits administration technology and services. They are seeking an AI Engineer to design, build, deploy, and support AI-powered products that enhance user experiences in a regulated SaaS environment.
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
- Containerize and deploy AI services on cloud-native infrastructure
- Manage CI/CD pipelines, container registries, and deployment automation
- Support cloud infrastructure, storage services, and security controls
- Address security vulnerabilities and technical debt in AI-related services
- Participate in architecture reviews and operational readiness reviews
- Partner closely with product managers to translate business requirements into technical solutions
- Collaborate regularly with AI engineers, architects, and engineering teams across the United States and India
- Work effectively within a blended delivery model where architecture, design, implementation, and support responsibilities may be shared across global teams
- Participate in engineering design discussions, technical reviews, and solution delivery planning
- Contribute to engineering standards, documentation, and operational excellence practices
- Participate in agile planning, sprint execution, and cross-functional collaboration
Skills
- 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
- Experience with observability platforms such as Langfuse, LangSmith, Arize Phoenix, or similar tools
- Experience implementing AI evaluation, testing, or quality measurement frameworks
- Familiarity with PII handling, masking, tokenization, and privacy-preserving architectures
- Experience building multi-tenant SaaS applications
- Understanding of compliance frameworks such as HIPAA, SOC 2, GDPR, or CCPA
- Experience with OAuth 2.0 and modern authentication patterns
- Familiarity with AWS services including EKS, S3, IAM, CloudWatch, and container-based deployments
- Exposure to data engineering, ETL pipelines, or analytics platforms
Benefits
- Comprehensive health coverage with multiple medical plan options - all covering 100% of in-network preventive care.
- Employer-fundedHealth Savings Account (HSA)- up to$1,000 annuallyfor family coverage.
- Dental & Vision planswith 100% coverage for routine dental careand$250 vision frame allowance, plusemployee-onlyvision premiums at$0.
- 401(k) with immediate vestinganda 50% company match up to 6%of contributions.
- Generous paid parental leave, adoptionassistance, and fertility benefits.
- Flexible PTO, paid holidays, a strong culture ofwork-lifebalance and Flex Fridays in the summer.
- Mental health & wellbeingsupport, including Employee Assistance Program (EAP), movement and wellness resources.
- Rewards and recognition programsthat celebrate employees through peer recognition, awards, and quarterly recognition initiatives.
Company Overview
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