AI Engineer

MHK TECH INC; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

MHK TECH INC is seeking a data science/ML software engineer to design and build LLM-powered applications with end-to-end integration across data processing, AI tooling, and cloud deployment. You will work with LangChain, vector databases, and cloud platforms to deploy scalable AI features.

The role emphasizes strong Python skills, experience with RAG patterns, and thoughtful evaluation of model outputs, with a leaning toward Vertex AI on Google Cloud.

Qualifications

• 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 with LangChain, LlamaIndex, or similar frameworks.
• Experience integrating LLM APIs via Google Vertex AI or similar.
• Working knowledge of vector databases (ChromaDB, Weaviate, Qdrant, Pinecone, etc.).
• Cloud platform experience (GCP preferred, Vertex AI).
• Docker and containerized deployments.
• Strong software engineering fundamentals — SOLID, clean code, design patterns, testing, version control (Git).
• Comfortable with AI-assisted development tools (e.g., Gemini CLI, GitHub Copilot).
• Strongly Preferred: experience with agentic AI patterns, document processing, LLM evaluation principles, data science fundamentals, prompt engineering, Streamlit app development.
• Nice to Have: clinical trials domain familiarity, infrastructure as code, knowledge graphs basics, ML/DL frameworks like PyTorch or TensorFlow, Google ADK, MCP, etc.
• Other: frontend (React, TS), FastAPI/Flask REST API development, PostgreSQL-like relational databases.

Skills

Python

RAG systems

LLM‑powered apps

LLM APIs

Vector databases

Vertex AI

Docker

Software engineering

AI tools

Agentic AI

Document processing

LLM evaluation

Pandas

NumPy

Scikit‑learn

Data visualization

Prompt engineering

Streamlit

Education

MSc in Data Science

Tools

LangChain

LlamaIndex

Vertex AI

GitHub Copilot

Google ADK

Terraform

Weaviate

Qdrant

Pinecone

Neo4j

Job description

• 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

Strongly Preferred

• 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

Nice to Have

Domain Knowledge

• Clinical trials or pharmaceutical industry experience
• Familiarity with clinical data standards
• Awareness of regulatory and data privacy requirements in life sciences

Infrastructure & DevOps

• Terraform or infrastructure‑as‑code experience
• CI/CD pipeline design (GitHub Actions or similar)

Knowledge Graphs

• Neo4j, Cypher query language
• NetworkX for graph analytics
• Graph‑based RAG or knowledge extraction

AI/ML

• 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

Other

• Frontend experience (React, TypeScript)
• FastAPI or Flask REST API development

PostgreSQL or similar relational databases