Senior engineers evaluating AI coding - agent interactions for G2i. Providing rigorous feedback on reasoning, explanations, and engineering judgment.
About the role
- Forward Deployed AI Engineer connecting business strategy with real-world AI implementation. Building scalable AI solutions and ensuring measurable business value.
Responsibilities
- Play a lead technical role in designing and delivering AI-enabled solutions across the enterprise.
- Build and deliver AI solutions: Design, build, test, and deploy AI-enabled applications, services, and workflows
- Work with LLMs, intelligent agents, and automation frameworks to solve real business problems
- Take solutions from prototype to production, ensuring they are reliable and scalable
- Own technical design: Lead architecture and design for: LLM integrations
- Retrieval-augmented generation (RAG)
- Agent workflows and orchestration
- API and enterprise system integrations
- Ensure solutions are secure, reusable, and aligned with enterprise standards
- Define and apply reusable patterns and best practices for AI delivery
- Contribute to responsible and governed AI adoption
- Ensure solutions are production-ready (testing, monitoring, observability)
- Troubleshoot issues, perform root cause analysis, and continuously improve systems
- Optimize for performance, cost, reliability, and user experience
- Work closely with product, architecture, platform, security, and business stakeholders
Requirements
- Strong experience building scalable, distributed systems
- Deep knowledge of: APIs, microservices, and service-based architectures
- Cloud-native development (Azure preferred)
- CI/CD, containerization, and deployment automation
- Experience with event-driven systems, data pipelines and data platforms.
- Hands-on experience building LLM-powered applications in production
- Strong Experience with: Prompt design and evaluation
- Model limitations (hallucination, variability, context constraints)
- Agent design and orchestration workflows
- Tool/API integrations
- RAG and knowledge grounding patterns
- Experience across the full lifecycle: Use case definition
- Solution design
- Integration
- Deployment
- Monitoring and optimization
- Strong understanding of: AI observability (quality, latency, cost) Reliability and system performance
- Experience working in regulated environments
- Strong awareness of: Data privacy and security
- AI governance and controls
- Misuse prevention (incl. prompt injection risks)
- Auditability and human-in-the-loop safeguards
Benefits
- Health insurance
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
AI Software Engineer Bootcamp training software developers in AI - assisted development, agentic workflows, and product thinking. Remote worldwide, with mentoring, certification, and job - search support.
Staff AI Engineer leading Compass, Basis’s LLM - powered agent platform for digital media operations. Architecting agent systems, MCP/A2A integrations, evaluation, and AI - assisted engineering practices.
Senior Applied AI Engineer turning machine learning research into production features for Clariti’s government technology platform. Building LLM, computer vision, and agentic AI capabilities.
System Software Engineer building communication and execution primitives for large - scale AI clusters. Optimizing distributed training and inference across thousands of GPUs.
Software Engineer evaluating AI - generated code, architecture, and reasoning for Gramian Consultancy. Creating coding problems and feedback to improve next - generation AI models.
AI Engineer embedding LLMs, RAG, and automation into KidKare’s configurable childcare SaaS platforms. Accelerating engineering delivery across legacy systems and development teams.
Freelance Mechanical CFD Engineer training AI agents through CAD - based fluid simulations. Building verified reference solutions and Python checks for a global technology platform.
CAD Engineer training and evaluating AI agents inside real CAD environments. Designing simulation - ready geometry and judging long engineering task solutions for a global platform.
Forward Deployed Engineer deploying Scopic’s SOC for AI platform for enterprise security and compliance. Building Python workflows, integrating MCPs, and leading client implementations.