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We are seeking a highly motivated mid-level Software Engineer with experience or strong interest in AI-enabled platforms/products. This role is primarily focused on hands-on development, while partners closely with business stakeholders and other engineers to translate real-world problems into scalable, well-governed technical solutions. The ideal candidate operates comfortably at the intersection of stakeholders, developers, and intelligent systems—writing code, troubleshooting issues, collaborating with product partners, and expanding into AI engineering and responsible AI governance.
Job Responsibility:
Partner with business stakeholders to gather, analyze, and document functional and technical requirements
Translate business use cases into clear, actionable engineering requirements
Act as a bridge between business users and engineering teams, clarifying intent and answering questions throughout the development lifecycle
Design, develop, and maintain data pipelines, integrations, and backend services
Design and implement AI-enabled solutions, such as: Agentic AI workflows (multi-step reasoning, tool-calling, orchestration), MCP (Model Context Protocol) servers or similar AI service interfaces, LLM integrations, prompt engineering, and structured outputs, Retrieval-Augmented Generation (RAG) pipelines and vector search
Debug and resolve issues across application, data, and AI layers (data quality, prompt logic)
Participate in technical design reviews, AI architecture discussions, and model evaluation strategies
Improve reliability, performance, and maintainability of both traditional and AI-driven platforms/products
Help implement AI governance capabilities, including: Observability, Evaluation and quality measurement, Guardrails, safety controls, and policy enforcement, Compliance, auditability, and traceability
Continuously learn and adopt new tools, frameworks, and best practices related to software and AI development
Requirements:
Bachelor’s degree in Computer Science, Information Systems, or equivalent experience
3-6 years of professional software engineering experience
Hands-on experience with Python or Java in production environments
Solid understanding of database concepts, SQL, and data modeling
Experience or demonstrated capability in AI-related development
Excellent communication skills across technical and non-technical audiences
Nice to have:
Experience in a hybrid role combining business analyst and software development
Experience with AI platforms, SDKs, or frameworks (e.g., Palantir Foundry)
Familiarity with prompt evaluation, guardrails, and AI observability
Experience designing AI systems with security, governance, and compliance in mind
Background in data engineering, analytics platforms, or cloud-native architectures
What we offer:
Medical
Dental
Vision
Work/life resources
Retirement savings plans like 401(k)
Paid days off such as parental leave and disability coverage