AI Engineer (SOP Automation & Document Generation)
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Key Responsibilities
- Design and implement AI-powered drafting templates for SOP outputs including Feasibility Reports ESMS Manuals GRMs and Transaction Packs.
- Translate SOP-compliant templates into prompt workflows using GPT or equivalent LLMs.
- Integrate Microsoft Forms/Excel Online data collection with AI drafting engines via Power Automate or APIs.
- Fine-tune LLMs or use RAG pipelines (e.g. LangChain vector database) to improve project-specific drafting quality.
- Collaborate with PMTs (Technical ESG Legal Finance) to define and maintain logic rules for narrative drafting.
- Develop internal review interfaces for human-in-the-loop validation and approval of AI-generated documents.
- Support DREEFs SSOT architecture by ensuring all AI-generated outputs are stored in version-controlled environments.
- Monitor AI performance: drafting time reduction approval rates accuracy and quality feedback.
- Continuously update drafting templates and AI prompt libraries based on regulatory or donor feedback.
- Stay current with advances in AI tooling (e.g. Azure OpenAI Claude Anthropic Hugging Face) for secure deployment
Performance Indicators - Reduction in SOP document drafting time by 50% within 6 months.
- 80% first-pass acceptance rate of AI-generated outputs by reviewers.
- Automation of 10 core SOP outputs via GPT workflows.
- End-to-end integration of at least 3 SOP drafting pipelines (e.g. Feasibility ESMS PUE).
- Documentation of reusable prompt libraries and drafting templates for scale.
Strategic Role Context
This role supports the implementation of a data-driven automation model in which structured inputs from subject-matter experts are assembled by AI into standardized document outputs then validated by internal reviewers. The AI Engineer will work across teams to design and operationalize prompt workflows and reviewer integration logic within a phased digital execution model. Phase One focuses on form-based data collection tracking and dashboards using cloud productivity tools. Phase Two introduces LLMs (e.g. GPT) to automate the drafting of technical financial ESG and contractual documents.
Additional Responsibilities
- Map the structured input and review workflow into modular AI drafting components.
- Design prompt workflows to convert form-based submissions into first-draft outputs across various content types (technical financial ESG legal).
- Integrate AI review and approval logic into cloud-based version-controlled environments.
- Collaborate with internal stakeholders to ensure output alignment with pre-defined standards and compliance templates.
- Refine and deploy prompt libraries tied to discrete workflow stages (Phase One: structured input; Phase Two: AI-assisted outputs).
- Bachelors or Masters in AI Data Science Machine Learning Computer Science or related field.
- 4 years of experience in deploying ML or LLM-based solutions in production environments.
- Proficiency in Python and libraries such as LangChain Hugging Face Transformers PyTorch and scikit-learn.
- Hands-on experience building GPT-powered document automation tools or prompt engineering frameworks.
- Experience with Microsoft ecosystem (Power Automate Excel Online Forms SharePoint) is a strong advantage.
- Familiarity with vector databases (e.g. FAISS Pinecone) and orchestration tools (e.g. Airflow LangChain).
- Demonstrated ability to implement RAG pipelines and secure LLM integrations (e.g. Azure OpenAI).
- Experience integrating AI solutions into digital workflows or enterprise systems.
- Strong collaboration skills and experience working with interdisciplinary teams.
Key Skills
- Continuous Integration
- APIs
- Automotive software
- Test Cases
- Electrical Engineering
- Junit
- Distributed Control Systems
- Testng
- Java
- Test Automation
- Programmable Logic Controllers
- Selenium
About Company
The Distributed Renewable Energy Enhancement Facility Incorporated (“DREEF” LLC) is a specialized project development facility established by InfraCredit in partnership with the World Bank and collaborating with the REA alongside other development partners. DREEF is designed to elimin ... View more
