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Senior AI Engineer

GHX

Before you apply

Role details

The practical picture
Work arrangement
Hybrid
Employment
Full-time

Experience & eligibility

Experience
5+ years of software engineering experience
Skills
  • Python
  • LLM APIs (OpenAI, Anthropic, Azure AI)
  • Prompt Engineering
  • AWS
  • REST API development
  • Clean Architecture
  • Git
  • CI/CD

Inside the role

Department
Product Development
Seniority
Senior
Qualifications
5+ years of software engineering experience Python Prompt engineering and LLM evaluation expertise Ground truth dataset design Experience with LLM APIs (OpenAI, Anthropic, Azure AI) AI agent orchestration experience, Clean Architecture / DDD principles, REST API development, Version control (Git), CI/CD practices, containerization, Experience with AWS or similar cloud platforms
Role signal brief

The role, at a glance

Extracted from the source posting · 95% confidence

GHX is hiring a Senior AI Engineer to build an LLM-powered document understanding platform for classification and data extraction. The role involves prompt engineering, LLM evaluation, agent orchestration, and production software engineering in Python. The position is hybrid, based in Hyderabad, India.

What you need

  • 5+ years of software engineering experience
  • Python
  • Prompt engineering and LLM evaluation expertise
  • Ground truth dataset design
  • Experience with LLM APIs (OpenAI, Anthropic, Azure AI)
  • AI agent orchestration experience, Clean Architecture / DDD principles, REST API development, Version control (Git), CI/CD practices, containerization, Experience with AWS or similar cloud platforms

What you will own

  • Design prompts for diverse document classification and extraction tasks
  • Create and maintain ground truth datasets and build automated evaluation pipelines
  • Design multi-agent workflows and implement tool-use patterns, Develop production-grade APIs and backend services, Contribute to CI/CD, deployment, and observability systems, Act as a bridge between business stakeholders and AI systems, Translate product requirements into technical architectures
Core skills
PythonLLM APIs (OpenAI, Anthropic, Azure AI)Prompt EngineeringAWSREST API developmentClean ArchitectureGitCI/CD
Internal freshness window ends Oct 18, 2026
View source evidence
  • attendanec_requirement “Location: Hyderabad, India (Hybrid)”
  • department “Department: Product Development”
  • job_locations “Job location: Hyderabad, Telangana, India”
  • workplace_type “Location: Hyderabad, India (Hybrid)”
  • must_have “Required Skills & Experience”
  • must_have “5+ years of software engineering experience (Python preferred)”
  • must_have “Experience with AWS or similar cloud platforms”
  • skills “Hands-on experience with LLM APIs (OpenAI, Anthropic, Azure AI)”
  • skills “Clean Architecture / DDD principles”
  • experience_months “5+ years of software engineering experience”
  • seniority “Role: Senior AI Engineer”
pythonllm apis (openai, anthropic, azure ai)prompt engineeringaws
Role brief
Role: Senior AI Engineer Location: Hyderabad, India (Hybrid)
Department: Product Development   About the Role
GHX is building a cutting-edge LLM-powered document understanding platform focused on classification, structured data extraction, and intelligent orchestration at scale.
This is a high-impact AI engineering role where you will own the full lifecycle—from problem framing to production deployment. Initially, you will focus on prompt engineering and evaluation systems, building the quality foundation for AI performance. Over time, the role expands into agent orchestration, system architecture, and migration of rule-based systems to LLM-driven pipelines. A strong foundation in software engineering (5+ years) is essential. This role demands engineering rigor across both traditional system design and AI system behavior.

Core Responsibilities
1. Prompt Engineering
  • Design prompts for diverse document classification and extraction tasks
  • Treat prompts as formal specifications (precise, structured, and edge-case-aware)
  • Develop few-shot, chain-of-thought, and structured output templates
  • Manage prompt lifecycle: versioning, testing, and rollback
2. LLM Output Evaluation
  • Create and maintain ground truth datasets
  • Build automated evaluation pipelines (precision, recall, field-level accuracy)
  • Identify and resolve conceptually incorrect outputs despite surface correctness
3. AI Agent Orchestration
  • Design multi-agent workflows for document processing
  • Implement tool-use patterns and integrate MCP servers
  • Optimize orchestration for scale and efficiency
4. Software Engineering
  • Develop production-grade APIs and backend services
  • Apply Clean Architecture / DDD principles
  • Write maintainable, testable Python code
  • Contribute to CI/CD, deployment, and observability systems
5. Stakeholder Collaboration
  • Act as a bridge between business stakeholders and AI systems
  • Translate product requirements into technical architectures
  • Communicate system behavior, limitations, and quality metrics clearly


Required Skills & Experience
  • 5+ years of software engineering experience (Python preferred)
  • Advanced prompt engineering and LLM evaluation expertise
  • Experience with ground truth dataset design
  • Hands-on experience with LLM APIs (OpenAI, Anthropic, Azure AI)
  • AI agent orchestration experience
  • Strong understanding of Clean Architecture / DDD principles
  • REST API development
  • Version control (Git), CI/CD practices, containerization
  • Experience with AWS or similar cloud platforms
Role Evolution
Now (0–6 months): Prompt Engineering & Evaluation
  • Design and refine prompts for classification and data extraction
  • Build ground truth datasets and evaluation pipelines
  • Establish accuracy benchmarks and quality baselines
Mid-Term (6–12 months): Agent Orchestration & Pipeline Design
  • Develop multi-agent document processing pipelines
  • Integrate MCP-based tools and external service interfaces
  • Orchestrate parallel AI workflows
Long-Term (12+ months): Platform Architecture & Ownership
  • Own the end-to-end document intelligence architecture
  • Lead migration from rule-based to LLM-powered systems
  • Define engineering standards and best practices
 

GHX: It's the way you do business in healthcare
Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes.

GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. We bring together healthcare providers and manufacturers and distributors in North America and Europe - who rely on smart, secure healthcare-focused technology and comprehensive data to automate their business processes and make more informed decisions.

It is our passion and vision for a more operationally efficient healthcare supply chain, helping organizations reduce - not shift - the cost of doing business, paving the way to delivering patient care more effectively. Together we take more than a billion dollars out of the cost of delivering healthcare every year. GHX is privately owned, operates in the United States, Canada and Europe, and employs more than 1000 people worldwide. Our corporate headquarters is in Colorado, with additional offices in Europe.

Disclaimer
Global Healthcare Exchange, LLC and its North American subsidiaries (collectively, “GHX”) provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. All qualified applicants will receive consideration for employment without regard to any status protected by applicable law. This EEO policy applies to all terms, conditions, and privileges of employment, including hiring, training and development, promotion, transfer, compensation, benefits, educational assistance, termination, layoffs, social and recreational programs, and retirement.GHX believes that employees should be provided with a working environment which enables each employee to be productive and to work to the best of his or her ability. We do not condone or tolerate an atmosphere of intimidation or harassment based on race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. GHX expects and requires the cooperation of all employees in maintaining a discrimination and harassment-free atmosphere. Improper interference with the ability of GHX’s employees to perform their expected job duties is absolutely not tolerated.

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