AI Engineer

Responsibilities

Design and build AI solutions using agents, workflows, retrieval, and integrations

Select models and technical approaches that balance quality, speed, and cost

Build reusable components and contribute to solution standards

Connect solutions to Microsoft 365, ServiceNow, CRM, ERP, APIs, and similar systems

Bring in enterprise data and model it for reporting and AI use

Make data available securely across the Microsoft ecosystem and related platforms

Build tests and evaluations for quality, safety, and accuracy

Apply security, privacy, identity, and access controls from the start

Release solutions through repeatable pipelines with clear technical documentation

Monitor, support, and improve solutions after launch

Troubleshoot performance, reliability, integration, and cost issues

Communicate status and outcomes to technical and non-technical stakeholders

Preferred

Experience with multi-agent orchestration, MCP servers, or evaluation frameworks

Knowledge of networking, operating systems, compute, storage, identity, security, and cloud architecture

Enterprise application development and integration experience

Experience with scalable data processing, AI/ML services, and workflow orchestration

Experience in healthcare, life sciences, or another regulated industry

Benefits

For full-time employees, the total rewards package may include health and wellness benefits, a 401(k) Savings Plan, stock incentive programs, paid time off, parental leave, and tuition assistance.

Hybrid work arrangement.

Clinisys is a software company that offers IT solutions to support diagnostic testing across the life sciences and healthcare sectors.

Bangalore, Karnataka, IND

https://www.clinisys.com/

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Product Management

Management and Executive

Trends of Total Sponsorships

*2024

(1)

2023

2022

Late Stage

Leadership Team

Michele Schicchi

Chief Marketing Officer, Global VP Marketing and Corporate Communications

Recent News

PR Newswire

Laboratory Software Market worth $10.62 billion by 2031 - Exclusive Report by MarketsandMarkets™

2026-10-07

Business Wire

Clinisys™ Advances Its Unified Laboratory Platform With Clinisys™ Laboratory Solution (CLS) v2025.3

2026-07-21

Med-Tech Insights

Stockport NHS Foundation Trust completes deployment of Clinisys WinPath

2026-07-11

Company data provided by

AI Tools

Qualifications

Strong software engineering fundamentals and hands-on AI or LLM solution experience

Ability to work across application development, data engineering, cloud platforms, integration, and security

Practical judgment in balancing solution quality, performance, reliability, safety, and cost

Clear communication and disciplined documentation in a cross-functional environment

Bachelor's degree in Computer Science, Engineering, Data Science, a related field, or equivalent work experience

3+ years in software, solutions, data, or cloud engineering, including at least 1 year building AI or LLM solutions

Strong Python and/or C#/.NET skills, TypeScript, and SQL

Hands-on experience with Azure AI Foundry, Azure OpenAI, Copilot Studio, or similar platforms

Experience with RAG, prompt design, agents, API integration, data pipelines, and data modeling

Familiarity with CI/CD, Git, infrastructure as code, cloud security, identity, and data privacy

Experience with multi-agent orchestration, MCP servers, or evaluation frameworks

Knowledge of networking, operating systems, compute, storage, identity, security, and cloud architecture

Enterprise application development and integration experience

Experience with scalable data processing, AI/ML services, and workflow orchestration

Experience in healthcare, life sciences, or another regulated industry

3+ years in software, solutions, data, or cloud engineering, including at least 1 year building AI or LLM solutions.

Required skills

Python, C#/.NET, TypeScript, SQL, Azure AI Foundry, Azure OpenAI, Copilot Studio, Retrieval-Augmented Generation (RAG), Prompt Design, API Integration, Data Pipelines, Data Modeling

Experience

3+ years