
Associate AI/ML Engineer
Gurzu Inc.Full Time, Permanent
Key Responsibility
- LLM-Powered Systems: Help design, build, and deploy AI workflows such as RAG pipelines, LLM-based agents, tool-using agents (function calling / MCP), and multi-step reasoning workflows.
- NLP & Transformers: Work with tokenization, embeddings, sequence models, transformers, and evaluation of NLP tasks across various domains. A strong conceptual understanding is mandatory.
- Vector Search & Knowledge Stores: Implement and optimize hybrid search using vector stores (Milvus, Weaviate, Chroma, or pgvector) and experiment with graph-style retrieval when needed.
- Model Evaluation: Set up repeatable evaluation pipelines (prompt benchmarks, latency/accuracy metrics) to ensure improvements are measurable and reproducible.
- Prototype → Production: Build quick proof-of-concepts, then convert them into clean, production-ready services.
- Debugging & Code Quality: Review AI-generated code, debug model behavior and pipeline issues, and write clean, maintainable, well-structured Python.
- Infrastructure Basics: Use Git/GitHub for version control, work in Linux environments, and containerize workloads for consistent deployment.
- Learning & Adaptation: Proactively explore unfamiliar AI topics (vision, RAG variations, agent frameworks, new open or closed-source models) and contribute insights and improvements to the team.
Qualifications
- Solid understanding of Python, data structures, and debugging fundamentals.
- Strong grasp of:
- NLP fundamentals
- Transformers
- LLM/VLM concepts
- RAG (retrieval, embeddings, chunking, query expansion, reranking)
- Agents & tool-calling
- MCP (Model Context Protocol)
- Hands-on experience (projects, coursework, or self-taught) in at least one deep-learning framework (PyTorch preferred).
- Comfortable with:
- Docker
- FastAPI
- PostgreSQL
- Git/GitHub
- Basic Linux commands
- Ability to review, debug, and refine AI-generated code.
- Ability to write clean, maintainable, production-friendly Python code.
- Strong willingness to learn unfamiliar topics quickly (e.g., NLP → Vision → Agents as needed).
- Good understanding of ML fundamentals: model training, evaluation metrics, overfitting, embeddings, vector search, etc.
- Problem-solving mindset: doesn’t complain unnecessarily; explains alternatives, proposes solutions, and looks for ways forward.
- System Understanding: understands how frontend, backend, databases, and cloud services work together in a full-stack AI/ML deployment.
- Adaptable Mindset: Open to candidates from diverse educational or professional backgrounds, provided they are willing and able to learn new technologies, domains, and project-specific requirements quickly.
Nice-to-Have
- Experience with vector databases (Milvus, Weaviate, Chroma, pgvector).
- Exposure to LLM tooling (OpenAI, HuggingFace, vLLM, LangChain, LiteLLM, Ollama).
- Exposure to agentic frameworks (LangGraph, AutoGen, CrewAI, n8n).
- Familiarity with AWS, GCP, or Azure: hands-on experience or conceptual knowledge.
- Personal, academic, or open-source projects using LLMs, NLP, or computer vision.
- Understanding of computer vision concepts.
Eligibility
Fresh graduates and self-taught engineers are encouraged to apply. Strong fundamentals, curiosity, and willingness to learn matter more than years of experience.
*Note: If you don’t hear from us within 15 days, it may mean you have not been shortlisted this time. We genuinely appreciate your interest in Gurzu and encourage you to follow us for future openings that match your skills and experience.*
Fresh graduates and self-taught engineers are encouraged to apply. Strong fundamentals, curiosity, and willingness to learn matter more than years of experience.
*Note: If you don’t hear from us within 15 days, it may mean you have not been shortlisted this time. We genuinely appreciate your interest in Gurzu and encourage you to follow us for future openings that match your skills and experience.*
Job Summary
- ID:66
- Job Category:Information Technology (IT)
- Date Posted:Dec 22, 2025
- Employment Type:Full Time
- Employment Duration:Permanent
- Deadline:04:10PM on Jan 09, 2026
About the Company
Company Name:Gurzu Inc.
Location:
Website:https://gurzu.com
Company Profile:Gurzu Inc is a product development company that brings world class products to market for global customers. Our goal is to transform how companies connect with customers by providing customers a competitive advantage with exceptional value, modern quality products with a rapid and efficient delivery cycle. We are a team of 40 engineers based in Nepal who are passionate about building innovative software solutions.
We provide integration and analytics solutions and services that enable companies to unlock the value of their business potential. We offer expert consulting services to companies looking to optimize their processes and take their businesses to the next level.
For further inquiry: careers@gurzu.com