Gen AI Engineer

Role - Gen AI Engineer

Location - New York , NY

Final round Face to face

Job Description

Must Have Technical/Functional Skills

Must have:

Strong Python Development Skills

Hands on experience on Continue.dev, Microsoft Copilot Studio, and Claude Code

· Proven experience designing and implementing end-to-end AI-driven business process automation solutions, including workflow orchestration, API integrations, and enterprise system connectivity (Agentic AI)

· Strong hands-on expertise with AI-assisted development tools and frameworks such as Continue.dev, Microsoft Copilot Studio, and Claude Code, with the ability to accelerate development, testing, and deployment cycles.

· Advanced software engineering and automation skills across Python, JavaScript/TypeScript, REST APIs, cloud platforms, CI/CD pipelines, and modern application architecture, with a focus on scalable and secure enterprise solutions.

· Ability to work directly with business stakeholders to translate operational requirements into AI-enabled automation use cases, while ensuring strong governance, documentation, risk controls, and measurable business outcomes.

· Initial use cases:

o Leverage the tools in AI that we have available (primarily Co-Pilot Studio) to create agents connecting to mailboxes, One Drive, SharePoint

o Transactions – Foreign Central Banks transactions – finding anomalies and summarizing findings

o Connectors to MS Dynamics to parse emails to update CRM

· Need someone that knows integrations and leverage Studio and agents. Databricks nice to have

· Machine Learning algorithms, AWS Bedrock API, Domino

· We want to operate in learning environment

Roles & Responsibilities

Bachelors in IT related field, Computer science preferred or equivalent.

We are seeking a highly skilled AI Automation Engineer to design, build, and scale AI-driven enterprise automation solutions leveraging Agentic AI frameworks. The role requires deep expertise in Python-based development, AI-assisted engineering, and end-to-end automation architecture, enabling measurable business transformation through intelligent workflows.

· Design and implement end-to-end AI-driven automation solutions, including workflow orchestration, API integrations, and enterprise system connectivity using

Agentic AI paradigms

· Develop and deploy Python-centric automation frameworks and services, ensuring high performance, scalability, and security across enterprise environments

· Leverage AI-assisted development tools (e.g., Microsoft Copilot Studio, Continue.dev, Claude Code) to accelerate development cycles, testing, and

· Build and integrate RESTful APIs, microservices, and event-driven architectures to enable seamless data and system interoperability

· Collaborate with business stakeholders to translate operational needs into AI-enabled automation use cases with clear ROI and measurable outcomes

· Ensure strong governance, documentation, compliance, and risk controls across all automation initiatives

· Implement and manage CI/CD pipelines and cloud-native deployments for continuous delivery of AI-powered solutions

· Drive adoption of best practices in software engineering, AI automation, and enterprise architecture

Required Skills & Qualifications

Core Technica l Skills

· Strong programming expertise in Python (mandatory), with experience in automation, scripting, and backend development · Proficiency in JavaScript/TypeScript and modern application development frameworks