AI Software Data Engineer US

📋 Description

• • TechTorch Solutions Inc. is a rapidly expanding enterprise technology consultancy dedicated to partnering with the world's foremost private equity-backed businesses. Our core mission is to revolutionize enterprise technology consulting for the private equity sector by delivering AI-powered solutions, accelerators, and data-driven transformation initiatives that generate tangible value with exceptional speed and scale. We pride ourselves on combining the dynamic agility of a scale-up with the rigorous discipline demanded by sophisticated investors and operators. Founded by a team of seasoned leaders, including former Bain consultants, CIOs, and technology executives, TechTorch possesses deep expertise in technology, transformation, and value creation, distinguishing us from typical startups and ensuring a focus on delivering impactful results.
• • Our specialized teams operate at the critical intersection of custom software engineering, modern data platforms, and applied artificial intelligence. We empower private equity-backed companies to modernize their core systems, develop innovative digital products, and deploy advanced AI solutions that drive significant operational and commercial improvements. Our engineers foster a collaborative environment, working across backend, frontend, data, and AI disciplines to produce production-grade, scalable solutions, moving beyond mere demonstrations or conceptual presentations.
• • As an AI Software & Data Engineer at TechTorch, you will be instrumental in designing and building comprehensive full-stack software systems, robust data platforms, and cutting-edge AI-powered Minimum Viable Products (MVPs) for our diverse clientele. This role is perfectly suited for individuals who have cultivated a strong foundation in software engineering, developed advanced full-stack capabilities, transitioned into data engineering and analytics, and are now adept at applying AI tools and techniques to address complex enterprise challenges. You will manage projects end-to-end, encompassing everything from developing user-facing React Next.js frontends and backend services in Python, to constructing intricate data pipelines and integrating AI model deployment, thereby owning solutions from their initial concept through to successful production deployment.
• • Your responsibilities will span multiple critical domains:
• • **Full-Stack Software Engineering:**
• • Design, develop, and deploy sophisticated full-stack applications, including intuitive frontend interfaces utilizing React and Next.js.
• • Build robust backend services and APIs employing Python and adhering to cloud-native architectural patterns.
• • Implement secure, scalable application logic that seamlessly integrates with complex data platforms and existing enterprise systems.
• • Establish and maintain efficient CI/CD pipelines, comprehensive testing strategies, and stringent production-readiness standards.
• • Collaborate closely with product managers, data scientists, and AI specialists to ensure the delivery of cohesive and impactful user experiences.
• • **Data Engineering:**
• • Architect, construct, and maintain highly scalable data pipelines and efficient ELT (Extract, Load, Transform) workflows.
• • Model and manage data effectively within modern data platforms such as Snowflake, Redshift, BigQuery, and lakehouse architectures.
• • Guarantee the integrity, performance, and lineage of data across both structured and semi-structured datasets.
• • Enable critical analytics, reporting, and downstream AI use cases by establishing well-designed and robust data foundations.
• • **Applied AI & Prototyping:**
• • Develop and deliver end-to-end AI prototypes and MVPs for clients, covering the entire lifecycle from data ingestion to the final user-facing experience.
• • Integrate advanced AI/ML capabilities into existing software and data workflows, including Natural Language Processing (NLP), document intelligence, classification algorithms, and anomaly detection techniques.
• • Leverage state-of-the-art AI platforms and services, such as AWS Bedrock, SageMaker, Snowflake Cortex, and OpenAI.
• • Support critical processes like feature engineering, inference pipeline development, and the implementation of AI-enabled automation.
• • Ensure that all AI solutions are observable, explainable, and meet the stringent requirements of enterprise and regulated environments.
• • We are actively seeking high-caliber professionals who not only meet the essential requirements but also embody our core values and possess a forward-thinking mindset. This role offers a unique opportunity to work at the forefront of technology, driving significant impact for leading private equity firms and their portfolio companies.