Senior .NET Backend Engineer for AI Data Platforms Remote

HireHi; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

HireHi seeks a senior software engineer to design and build production backend services and APIs using .NET/C# and Python for AI-enabled applications. You will develop data access layers, integration points, and metadata capabilities while ensuring security, provenance, and quality controls across large-scale enterprise data estates.

You will collaborate with AI/ data teams, platform engineers, and stakeholders to translate business needs into scalable technical solutions, supporting production

Qualifications

• 5+ years of production software engineering experience with strong hands-on expertise in NET/C# and Python.
• Strong experience designing and developing production APIs and backend services.
• Experience with asynchronous processing and distributed systems.
• Hands-on experience with data-intensive applications and data engineering.
• Strong SQL skills and experience with relational databases and large enterprise datasets.
• Experience designing data access and integration layers across heterogeneous enterprise sources.
• Understanding of data modelling, metadata, data lineage, provenance, and data quality.
• Experience implementing data validation and quality controls.
• Experience designing secure and governed data access, including authentication, authorization, entitlements, and permission-aware APIs.
• Strong understanding of clean architecture, SOLID principles, automated testing, CI/CD, code review, observability, and production support.
• Experience with cloud and/or on-premise enterprise environments.
• Comfortable using AI-assisted development tools and working with AI agents and LLM-based applications.

Responsibilities

• Design and build production backend services and APIs in .NET/C# and/or Python for internal applications and AI agents.
• Build data access and integration layers connecting AI-enabled applications with enterprise data sources.
• Develop agent-consumable APIs and tools for controlled enterprise data discovery, retrieval, and interpretation.
• Build and enhance data catalogue and metadata capabilities.
• Implement ingestion and transformation pipelines for structured and semi-structured data.
• Build automated data-quality controls.
• Implement provenance and traceability mechanisms.
• Build entitlement-aware data services.
• Develop semantic and analytical services for AI applications.
• Integrate with existing AI and data platforms following architecture, security, governance, and operational standards.
• Design solutions for large-scale enterprise and on-premise data estates.
• Implement automated testing and quality gates.
• Implement monitoring and observability for services and pipelines.
• Work with AI engineers, data engineers, platform teams, architects, and business stakeholders to convert requirements into technical capabilities.
• Participate in solution design, technical reviews, and architectural discussions.
• Support production readiness and continuous improvement, including performance optimization, troubleshooting, and technical debt reduction.

Skills

NET/C#

Python

API development

Distributed systems

SQL databases

CI/CD

Data engineering

Cloud/on-prem

Tools

Snowflake

Databricks

SQL Server

PostgreSQL

Job description

HireHi seeks a senior software engineer to design and build production backend services and APIs using .NET/C# and Python for AI-enabled applications. You will develop data access layers, integration points, and metadata capabilities while ensuring security, provenance, and quality controls across large-scale enterprise data estates.

You will collaborate with AI/ data teams, platform engineers, and stakeholders to translate business needs into scalable technical solutions, supporting production