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Design and build scalable cloud-native AI data platforms and pipelines using Python, Spark, and Kafka to power machine learning and GenAI initiatives for enterprise clients.
Build scalable data pipelines and infrastructure for AI systems using Python, SQL, Spark, and cloud platforms to power LLMs, retrieval systems, and agentic architectures.
Senior Data Engineer builds and maintains data pipelines and models for corporate credit limit management in a bank, using Snowflake, dbt, and Airflow.
Build and govern a medical-data foundation for AstraZeneca, designing ETL pipelines, data models, and governance to make AI-ready datasets available to medical teams and analytics platforms.
Build secure, scalable enterprise software that unifies AI enablement, security, and data protection in a modern cloud environment.
Build an AI-native development platform using Angular, NestJS, and agentic tools like Kiro to automate coding, testing, and documentation workflows.
Build and maintain the data warehouse and pipelines that power reporting, AI workflows, and decision-making for a prop-trading discovery platform.
Senior Full Stack Engineer builds and maintains cloud-native backend services in Java and Python for a global financial-services client, using Azure, Kubernetes, and AI-assisted tools.
Build and deploy production-grade AI agents that automate commercial workflows (sales, CS, ops) using LLMs, data pipelines, and enterprise integrations while enforcing security and governance constraints.
Build and maintain the AI/ML platform that turns experimental models into production-grade, governed solutions using Databricks, AWS, MLflow and MLOps practices.
Build and deploy production-grade AI systems using LLMs, RAG, and agent workflows, integrating them into enterprise systems while ensuring scalability, security, and measurable business impact.
Build and maintain the AI/ML platform that turns experimental models into production-ready, governed, and scalable solutions using Databricks, AWS, MLflow, and related tools.
Senior Java developer building real-time regulatory reporting pipelines using Kafka and Flink for a global investment bank, ensuring accurate, timely data processing under strict SLAs.
Build and harden reusable AI/ML primitives for Amazon’s enterprise systems, from experimentation to production deployment, collaborating with product teams to integrate and scale AI capabilities.
Build and validate enterprise Generative AI and Agentic AI systems using LLMs, RAG, and AI agents to improve financial services workflows while ensuring compliance with governance and audit standards.
Build and modernize Nasdaq’s market-data platform using C#, .NET, SQL Server, and AI-powered dev tools to serve 300B+ monthly requests and power global investor experiences.
About Heitech Software Solutions** Heitech Software Solutions (HeitechSoft) is a rapidly scaling AI, web, and software development firm delivering cutting-edge technology solutions that streamline operations and…
Build AI-powered automations and integrations for cybersecurity workflows, using agent frameworks and APIs to accelerate marketing, sales, and product operations.
Design and productionize enterprise AI solutions using Snowflake Cortex AI, Python, SQL, and RAG architectures to automate decisions and build intelligent agents for Hydro One’s data platform.
Build and maintain AWS-based lakehouse pipelines (Bronze/Silver/Gold) using dbt, SQL, and Python to ingest, transform, and deliver governed data products for government procurement analytics and AI use cases.
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