AI/Software Engineer

Applied Systems, Inc., a worldwide leader in insurance technology, is currently searching for a Data Migration Manager to lead a team within our Data Services organization. This role is responsible for the people leadership, delivery oversight, and client-facing communication needed to ensure that customer data migrations from competitor and legacy systems into Applied Systems SaaS products are executed seamlessly, on time, and with a high standard of quality and customer satisfaction.

In this role, you will design, build, and deploy Generative AI solutions—LLM-powered applications, retrieval-augmented generation (RAG), and agentic workflows—integrated with enterprise data and systems. Working alongside senior engineers and in close collaboration with product, engineering, and security partners, you’ll help deliver reliable, scalable, and safe GenAI capabilities, with a focus on evaluation, observability, and cost/latency performance in production.What You’ll Do·Design and implement LLM-powered conversational experiences (chat assistants/AI Agents), integrating tools, APIs, and enterprise data sources ·Build and maintain RAG pipelines (document ingestion, chunking, embeddings, indexing) using vector databases and AI-enabled search·Develop LLM inference and orchestration components (prompt templates, function/tool calling, streaming, caching) that meet defined latency and reliability targets·Implement safety and compliance guardrails (content filtering, prompt injection defenses, data access controls) and support red-teaming/testing of GenAI applications·Help optimize GenAI solutions for cost and performance (token usage, prompt compression, caching, model routing) while maintaining response quality·Apply Responsible AI practices for GenAI (grounding, hallucination mitigation, privacy-by-design, bias/toxicity evaluation) and align with security requirements·Document designs, prompts, evaluation results, and operational runbooks; contribute reusable components and code that the wider team can build on

·BE/BTech in Computer Science, Data Science, Engineering, or a related field (or equivalent practical experience)

3–5 years of total experience as a software engineer, including hands-on experience building and shipping AI/ML and GenAI solutions (LLMs, RAG, prompt/tool calling) using Python. Good to have: Node, React, Terraform, Git, GitLab, Docker, Kubernetes

·Programming skills in Python and experience building LLM applications using common frameworks (e.g., LangChain, LangGraph); familiarity with evaluation/testing frameworks is a plus·Hands-on experience deploying GenAI applications on cloud platforms (GCP/Azure/AWS), including integration with managed LLM services and secure API patterns·Experience with vector databases and retrieval systems (e.g., Pinecone, Milvus, Weaviate, Elasticsearch/OpenSearch); exposure to LLMOps tooling for prompt/version management and evaluation is a plus·Working knowledge of CI/CD and familiarity with observability for GenAI systems (quality/safety metrics, tracing, monitoring latency and cost)·Working knowledge of Agile delivery and collaboration tools (e.g., Jira, Confluence); ability to clearly communicate technical work and trade-offs to the team·Strong analytical and problem-solving skills to debug GenAI issues (grounding gaps, hallucinations, prompt injection, retrieval quality) across application, data, and infrastructure layers

Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.