AI Engineer

Plansource • UNAVAILABLE, UNAVAILABLE

29d • Remote

About The Position

PlanSource is seeking an AI Engineer to join their Data Science & Engineering team. This role focuses on designing, building, deploying, and supporting AI-powered products and shared platform capabilities within a secure, regulated SaaS environment. The AI Engineer will work with product managers, platform engineers, architects, security teams, and AI specialists across the US and India to deliver scalable, reliable, and compliant AI capabilities. The position requires hands-on engineering with practical experience in taking software or AI-powered solutions from development through production deployment and ongoing operational support. Mentorship and technical guidance will be provided by experienced AI and platform engineering leaders.

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• Comprehensive health coverage with multiple medical plan options - all covering 100% of in-network preventive care.
• Employer-funded Health Savings Account (HSA) - up to $1,000 annually for family coverage.
• Dental & Vision plans with 100% coverage for routine dental care and $250 vision frame allowance, plus employee-only vision premiums at $0.
• 401(k) with immediate vesting and a 50% company match up to 6% of contributions.
• Generous paid parental leave, adoption assistance, and fertility benefits.
• Flexible PTO, paid holidays, a strong culture of work‑life balance and Flex Fridays in the summer.
• Mental health & wellbeing support, including Employee Assistance Program (EAP), movement and wellness resources.
• Rewards and recognition programs that celebrate employees through peer recognition, awards, and quarterly recognition initiatives.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed