Agentic AI Engineer

Description

We're looking for an Agentic AI Engineer to join our. In this role, you will design and implement agentic AI workflows that automate and accelerate software development activities , including coding, testing, quality assurance, and continuous integration. You will translate business requirements into practical AI-driven engineering solutions integrated with repositories, architecture, and CI/CD pipelines. The position involves building safe, controllable, and reusable AI patterns , ensuring proper validation, quality gates, and human oversight.a

Responsibilities

• Translate business requirements into

agentic AI workflows

across coding, review, testing, and defect resolution

• Build

connected AI-driven pipelines

that can develop code, execute tests, analyze failures, and refine implementations iteratively

• Assess existing

repository, architecture, and technology stack

before proposing automation solutions

• Embed

validation controls, quality gates, evidence capture, safe stopping conditions, and human approval checkpoints in solutions

• Package and integrate

agentic AI workflows for reuse

across teams and development environments

• Ensure measurable outcomes aligned with

quality, security, and regulatory compliance

• Collaborate with engineering, QA, and DevOps teams to scale

AI-driven capabilities

across the organization

• Support continuous improvement and responsible AI practices

Requirements (Must Have Skills)

• Strong hands-on background in

software engineering, SDET, quality engineering, data engineering, DevOps, or platform engineering

• Proven experience using

agentic AI tools

such as GitHub Copilot and/or Databricks Genie

• Expertise in

multi-step AI workflows

for development lifecycle: code generation, review, testing, and iterative refinement

• Proficiency in

automated testing, shift-left quality practices, Git-based workflows, pull requests, and CI/CD

• Ability to

translate business problems into technical AI solutions

with measurable control points

• Experience embedding

human-in-the-loop validation, safe failure handling, and reusable automation patterns

Nice to Have Skills

• Experience creating

custom Copilot agents or repository-aware AI prompts

• Familiarity with

Databricks workflows, notebooks, pipelines, and data-quality engineering

• Knowledge of

AI agent evaluation, regression testing, and performance benchmarking

• Exposure to

static analysis, security testing, observability solutions, and responsible AI governance

• Experience scaling

AI engineering capabilities across large programs or multiple teams