Data & AI Engineer

Strivanta Technologies

United States

Remote

USD 120,000 - 170,000

Full time

8 days ago

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Job summary

Strivanta Technologies is seeking a Data & AI Engineer to design and build data pipelines, analytics foundations, and AI-enabled applications. The role spans data engineering, applied AI, and production readiness, helping teams move from experiments to reliable systems.

You’ll work on data pipelines, AI services, evaluation workflows, and monitoring, collaborating with engineers and stakeholders to translate use cases into practical implementations while improving reproducibility and security.

Qualifications

Proficiency in Python and software engineering for data systems.
Experience with structured or unstructured data and data pipelines.
Ability to evaluate trade-offs and communicate clearly with stakeholders.

Responsibilities

Design and implement reliable data pipelines and transformations.
Build services and applications that leverage ML or generative AI capabilities.
Contribute to data platform and AI architecture decisions.
Develop evaluation, monitoring, and quality practices for AI-enabled systems.
Collaborate with engineers and stakeholders to translate use cases into practical implementations.
Improve reproducibility, maintainability, and deployment of data and AI workloads.

Skills

Python

Data pipelines

Data processing

Software engineering

Communication

Education

Bachelor's degree in CS or related field

Tools

Cloud data platforms

Job description

Build data pipelines, analytics foundations, AI-enabled applications, evaluation workflows, and production-ready data and machine-learning systems.

As a Data & AI Engineer, you would work across data engineering and applied AI problems, helping teams move from experimentation toward dependable production systems. The role involves data foundations, software engineering, AI integration, evaluation, and operational thinking.

The Work

Where the role spends its time

Data pipelines and platforms
AI-enabled applications
Retrieval and knowledge systems
AI evaluation and monitoring

The Role

What you'll work on

Design and implement reliable data pipelines and transformations.
Build services and applications that use machine-learning or generative AI capabilities.
Contribute to data platform and AI architecture decisions.
Develop evaluation, monitoring, and quality practices for AI-enabled systems.
Work with engineers and stakeholders to translate use cases into practical implementations.
Improve reproducibility, maintainability, and deployment of data and AI workloads.
Support responsible handling of data, security, and access controls.

Experience

What we're looking for

Professional experience with Python or similar engineering languages.
Experience working with structured or unstructured data.
Understanding of data pipelines and data-processing concepts.
Experience building production software or data systems.
Ability to evaluate technical trade-offs and communicate them clearly.Strong problem-solving and collaborative working skills.

Additional Experience

Helpful, but not necessarily required

Experience with generative AI or large language model applications.
Experience with machine-learning operations or model deployment.
Experience with vector search or retrieval systems.Experience with modern cloud data platforms.
Knowledge of AI evaluation and observability practices.

Technology

Technologies and areas relevant to the role

What We Offer

What you can expect

Opportunities to work beyond prototypes and into production systems.
Collaboration across data, software, cloud, security, and consulting disciplines.
Room to build both engineering depth and applied AI experience.
Exposure to architecture, evaluation, operations, and responsible AI considerations.
A learning-focused environment built around practical problem-solving.

Hiring Process

How we hire for this role