TechTorch Solutions Inc. logo

AI Software Data Engineer US

Job Overview

Location

Remote

Job Type

Full-time

Category

Data Engineer

Date Posted

February 3, 2026

Full Job Description

đź“‹ Description

  • • At TechTorch, we are at the forefront of enterprise technology consulting, specializing in AI-powered solutions and data-driven transformations for leading private equity-backed businesses. We are a high-growth consultancy founded by seasoned leaders with deep expertise in technology, transformation, and value creation, committed to redefining enterprise technology consulting for the private equity sector. Our unique approach combines the agility of a scale-up with the rigorous discipline demanded by sophisticated investors and operators, ensuring we deliver measurable value at speed and scale.
  • • As an AI Software & Data Engineer, you will play a pivotal role in designing and building comprehensive full-stack software systems, robust data platforms, and innovative AI-powered Minimum Viable Products (MVPs) for our diverse clientele. This role is perfectly suited for a seasoned professional who has cultivated a strong background in software engineering, advanced full-stack capabilities, and specialized expertise in data engineering and analytics, now adept at applying cutting-edge AI tools and techniques to address complex enterprise challenges.
  • • You will be empowered to work across the entire technology stack, taking ownership of solutions from their initial conception through to production deployment. This includes developing sophisticated frontend interfaces using React and Next.js, building resilient backend services and APIs with Python and cloud-native patterns, architecting and maintaining scalable data pipelines and ELT workflows, and seamlessly integrating AI/ML capabilities into both software and data systems. Your responsibilities will span the design and implementation of secure, scalable application logic, the development of robust data models within modern data platforms, and the integration of AI functionalities such as Natural Language Processing (NLP), document intelligence, classification, and anomaly detection.
  • • A key aspect of your role will involve collaborating closely with product managers, data scientists, and AI specialists to ensure the cohesive delivery of end-to-end solutions. You will be instrumental in building and deploying AI prototypes and MVPs, managing the entire lifecycle from data ingestion to the final user-facing experience. This includes supporting feature engineering, optimizing inference pipelines, and developing AI-enabled automation strategies. A critical focus will be placed on ensuring that all AI solutions are observable, explainable, and meet the stringent requirements of enterprise and regulated environments.
  • • In the realm of Full-Stack Software Engineering, you will be responsible for designing and building dynamic full-stack applications. This encompasses crafting intuitive frontend interfaces using modern frameworks like React and Next.js, developing robust backend services and APIs leveraging Python and established cloud-native architectural patterns, and implementing secure, scalable application logic that seamlessly integrates with complex data platforms and existing enterprise systems. Furthermore, you will be tasked with establishing and maintaining efficient CI/CD pipelines, implementing comprehensive testing strategies, and upholding production-readiness standards to ensure the reliability and maintainability of our software solutions.
  • • For Data Engineering, your duties will include the design, construction, and ongoing maintenance of highly scalable data pipelines and efficient ELT workflows. You will be responsible for modeling and managing data effectively within cutting-edge data platforms such as Snowflake, Redshift, BigQuery, and various lakehouse architectures. Ensuring the integrity, performance, and lineage of data across both structured and semi-structured datasets will be paramount. Your work will directly enable critical analytics, reporting functions, and downstream AI use cases by establishing well-designed and robust data foundations.
  • • In Applied AI & Prototyping, you will spearhead the development of AI prototypes and MVPs from inception to deployment for our clients. This involves integrating AI/ML capabilities directly into software and data workflows, utilizing techniques like NLP, document intelligence, classification, and anomaly detection. You will leverage state-of-the-art AI platforms and services, including AWS Bedrock, SageMaker, Snowflake Cortex, and OpenAI, to build innovative solutions. Your role will extend to supporting feature engineering, optimizing inference pipelines, and developing AI-enabled automation processes, always ensuring that AI solutions are observable, explainable, and suitable for enterprise and regulated contexts.
  • • This role offers a unique opportunity to operate at the dynamic intersection of full-stack software engineering, data engineering, and applied AI, contributing to high-impact projects with prominent private equity firms and their portfolio companies. You will gain ownership of end-to-end AI prototypes and production systems within a global, senior team dedicated to delivery excellence, all within a flexible, remote-first working environment that fosters high autonomy and continuous learning.

Skills & Technologies

Python
JavaScript
React
Next.js
AWS
Remote

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TechTorch Solutions Inc. logo
TechTorch Solutions Inc.
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About TechTorch Solutions Inc.

TechTorch Solutions Inc. builds and licenses an AI-driven platform that enables enterprises to create, customize, and deploy large language-model applications without writing code. The system ingests proprietary data, fine-tunes models, and provides APIs and no-code dashboards for workflow automation, analytics, and compliance. Headquartered in San Francisco, the company serves Fortune 1000 clients in finance, healthcare, and retail. It was founded in 2020 by former Google and Palantir engineers and has raised Series A funding led by Andreessen Horowitz to accelerate product development and global expansion.

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