Note: The job is a remote job and is open to candidates in USA. MHK TECH INC is a company seeking an AI Engineer to enhance their capabilities in artificial intelligence applications. The role involves building RAG systems and LLM-powered applications, integrating LLM APIs, and leveraging cloud platforms to deploy solutions.
Skills
- MSc in Data Science, Computer Science, Bioinformatics, or related field (or equivalent practical experience)
- Strong Python skills
- Hands-on experience building RAG systems or LLM-powered applications (using LangChain, LlamaIndex, or similar frameworks)
- Experience integrating LLM APIs (Google Gemini, OpenAI, or similar) — we work primarily through Google Vertex AI
- Working knowledge of vector databases (ChromaDB, Weaviate, Qdrant, Pinecone, or similar)
- Cloud platform experience (GCP preferred, especially Vertex AI)
- Docker and containerized deployments
- Strong software engineering fundamentals — SOLID principles, clean code practices, design patterns, testing, version control (Git), code review
- Comfortable using AI-assisted development tools (e.g. Gemini CLI, GitHub Copilot) — and critically evaluating what they produce
- Experience with agentic AI patterns — multi-agent orchestration, tool use, autonomous workflows (LangGraph, Google ADK, or similar)
- Document processing experience — extracting and parsing data from PDFs and Word/DOCX files programmatically
- Understanding of LLM evaluation principles and output quality assessment (BLEU, ROUGE etc, code execution metrics, or similar)
- Data science fundamentals — Pandas, NumPy, scikit-learn, statistical analysis, data visualization
- Prompt engineering and optimisation techniques
- Streamlit application development
- Clinical trials or pharmaceutical industry experience
- Familiarity with clinical data standards
- Awareness of regulatory and data privacy requirements in life sciences
- Terraform or infrastructure-as-code experience
- CI/CD pipeline design (GitHub Actions or similar)
- Neo4j, Cypher query language
- NetworkX for graph analytics
- Graph-based RAG or knowledge extraction
- Experience with LLM-driven code generation
- LLM fine-tuning experience (e.g. LoRA, PEFT, RLHF, Vertex AI model tuning, or similar approaches)
- NLP and text processing (HuggingFace Transformers, Sentence-Transformers)
- PyTorch or TensorFlow (for custom model work if needed)
- Google ADK (Agent Development Kit) or Vertex AI Agent Builder
- Model Context Protocol (MCP) for tool integration and interoperability
- Frontend experience (React, TypeScript)
- FastAPI or Flask REST API development
- PostgreSQL or similar relational databases
Company Overview
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