AI Programmer

Who are we:
Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking & financial services, insurance, retail, higher education, food, healthcare, and manufacturing.

We are seeking a skilled AI Programmer to design, develop, and deploy intelligent applications leveraging APIs, AI/LLM technologies, and data systems. The ideal candidate will have hands-on experience working with AI tools like AWS Textract or similar, calling APIs, and building basic user interfaces to trigger and interact with backend tools and services.

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  Integrate and consume RESTful APIs and third-party services.

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  Work with AI/LLM tools (e.g., AWS Textract, OpenAI, etc.) to extract, process, and analyze data.

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  Design and develop simple, functional screens/UI to invoke tools and APIs.

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  Write efficient and reusable code using R and Python for data manipulation and automation.

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  Query, manipulate, and analyze structured data using SQL.

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  Work with Snowflake for data warehousing and ensure efficient data handling and querying.

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  Collaborate with data engineers, data scientists, and product teams to bring intelligent features to applications.

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  Document code, workflows, and system interactions for future maintenance and scalability.

Requirements

Required Skills and Qualifications

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  Proficiency in Python and/or R for scripting and data processing.

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  Strong experience in SQL and working with Snowflake or other cloud-based data warehouses.

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  Experience with AI/LLM tools such as AWS Textract, OpenAI, or similar.

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  Ability to design basic UI/screens (web or desktop) to trigger toolsets and APIs.

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  Solid understanding of REST APIs, JSON, and integrating external services.

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  Familiarity with version control (e.g., Git) and collaborative development environments.

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  Strong analytical and problem-solving skills.

Preferred Qualifications

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  Experience working in cloud environments (AWS, Azure, or GCP).

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  Prior exposure to MLOps pipelines or AI deployment practices.

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  Understanding of data security, privacy, and governance in AI applications.