About the RoleAs an
AI Software & Data Engineer, you will design and build
full-stack software systems,
data platforms, and
AI-powered MVPs for TechTorch clients.
This role is ideal for someone who
started in software engineering, developed strong
full-stack capabilities, moved into
data engineering and analytics, and now applies
AI tools and techniques to solve real enterprise problems.
You will work end-to-end - from
React/Next.js frontends, through
backend development in Python and data pipelines, to
AI model integration and deployment - owning solutions from concept through production.
What You'll DoFull-Stack Software Engineering- Design and build full-stack applications, including:
- Frontend interfaces using React and Next.js
- Backend services and APIs using Python and cloud-native patterns
- Develop secure, scalable application logic that integrates with data platforms and enterprise systems
- Implement CI/CD pipelines, testing, and production-readiness standards
- Collaborate closely with product, data, and AI teams to deliver cohesive user experiences
Data Engineering- Design, build, and maintain scalable data pipelines and ELT workflows
- Model and manage data in modern data platforms (e.g., Snowflake, Redshift, BigQuery, lakehouse architectures)
- Ensure data quality, performance, and lineage across structured and semi-structured data
- Enable analytics, reporting, and downstream AI use cases through well-designed data foundations
Applied AI & Prototyping- Build AI prototypes and MVPs end-to-end for clients - from data ingestion to user-facing experience
- Integrate AI/ML capabilities into software and data workflows (e.g., NLP, document intelligence, classification, anomaly detection)
- Leverage modern AI platforms and services such as AWS Bedrock, SageMaker, Snowflake Cortex, OpenAI
- Support feature engineering, inference pipelines, and AI-enabled automation
- Ensure AI solutions are observable, explainable, and suitable for enterprise and regulated environments
Who You AreWe're looking for high-caliber professionals who meet the minimum requirements for the role and share our values and mindset.
- 5+ years of experience across full-stack software engineering and data engineering
- Strong foundation in custom software development, including:
- Backend: Python, strong API and service design
- Solid hands-on experience with data engineering: pipelines, modeling, warehouses, ELT/ETL
- Practical experience building and deploying AI-powered prototypes or MVPs, not just experimentation
- Proficient in Python, SQL, and modern cloud-native development practices
- Experience with cloud platforms (AWS preferred; Azure or GCP acceptable)
- Comfortable operating across software, data, and AI - able to wear multiple hats
- Strong problem-solving skills and ability to translate business needs into technical solutions
- Consulting or client-facing experience is a strong plus
Nice to have- Snowflake (including Cortex AI), dbt, Airflow, Spark
- AWS services: Lambda, Step Functions, Bedrock, SageMaker
- Exposure to MLOps, model lifecycle management, or AI governance
- Experience in regulated or data-sensitive environments
What We Offer- A role at the intersection of full-stack software, data engineering, and applied AI
- Ownership of end-to-end AI prototypes and production systems
- High-impact projects with private equity firms and their portfolio companies
- A global, senior team focused on delivery excellence
- Flexible, remote-first working environment with high autonomy
