ABOUT THE ROLE
We are seeking an experienced AI Engineer with a strong track record in building enterprise-grade applications to join our AI Modernization Program. This role focuses on designing and implementing the data and semantic intelligence backbone of AI assistants for software development teams—starting with a smart business analyst and extending to developer copilots.
You will lead the effort in transforming fragmented historical enterprise requirements, codebases, tickets, and documentation—into a semantically searchable, AI-consumable knowledge base. The role combines LLM pipeline design, semantic search implementation, and unstructured data preparation with a deep understanding of enterprise development environments.
Engagement: Freelance / Part-time (Initial scope: ~2 months)
ABOUT THE PROJECT
Our client, a large-scale enterprise software provider, is undergoing a strategic transformation to integrate AI into development and QA workflows. Phase one involves creating an AI-powered Business Analyst assistant that understands product evolution and helps structure new feature planning. Subsequent phases will build a Developer Co-Pilot that translates requirements into implementation support and guidance.
You’ll be instrumental in architecting and developing accurate, context-aware AI agents (code assistant) that scale across teams using modern AI/ML practices like retrieval-augmented generation (RAG), knowledge graphs.
Who are we looking for?
Key Responsibilities
- Design and build semantic data pipelines to parse, index, and retrieve enterprise artifacts: user stories, documentation, tickets, and code history.
- Develop scalable embedding pipelines and integrate vector database architectures (ChromaDB, Azure Cognitive Search).
- Implement retrieval-augmented generation (RAG) pipelines tailored to enterprise development lifecycles.
- Create traceability models across product requirements, development artifacts, and business documentation.
- Collaborate with business analysts, architects, and developers to align AI capabilities with practical team needs.
- Ensure pipeline performance, scalability, and adaptability to enterprise-grade security and compliance needs.
Required Qualifications
- 4+ years of applied experience in AI/ML, with a focus on enterprise data use cases.
- Proven experience in building semantic search systems, chunking strategies, and embedding-based retrieval.
- Strong knowledge of Python.
- Hands-on experience with vector stores (ChromaDB, Pinecone, Azure Cognitive Search).
- Deep familiarity with document processing, especially ticketing systems (Jira, ADO) and PDF, tables, pictures parsing.
- Experience designing traceability or knowledge graph structures linking requirements, code, and documentation.
- Prior exposure to software development workflows and Agile/DevOps environments.
- Clean, modular coding style; comfortable with CI/CD and version control practices.
- Excellent written and verbal communication skills (Upper-intermediate+ English).
Preferred Experience
- Background in LLM application design for copilots or internal productivity assistants.
- Understanding of enterprise software architecture, SDLC principles, and traceability compliance.
- Familiarity with metadata-driven search, domain-specific chunking, and AI scalability challenges.
- Exposure to knowledge graphs, internal developer portals, or enterprise RAG applications.
Why Join
- Work on foundational AI infrastructure for enterprise-grade intelligent assistants.
- Collaborate with cross-functional product and engineering leaders shaping the next generation of AI tooling.
- Influence strategy and implementation of real-world LLM use cases in complex environments.
- Flexible, remote work setup with impactful ownership of critical deliverables.
What we offer
Work:
- Flexible working hours;
- Collaborative, friendly team environment;
- Remote/Hybrid work;
Life:
- Company social events;
- Annual corporate parties;
Health:
- Comprehensive medical insurance;
Education:
- Allowances for professional education;
- English language courses with native speakers;
- Internal knowledge-sharing sessions.
About Proxet
Proxet is a professional software development firm trusted by clients from around the world. With our expertise in AI and machine learning, we help businesses reimagine their possibilities and transform ideas into tangible digital solutions. By providing core services with an emphasis on data practices, we shape the future, one step at a time.
If you’d like to join our Proxet Nation and work closely with high-level professionals and our engineers, fill in the form!
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