AI Engineer

Posted 12 Days Ago
Be an Early Applicant
Baku
In-Office
Junior
Biotech
The Role
Assist in developing NLP and LLM solutions, support data preprocessing, experiment with prompt engineering, and collaborate with teams on ML integrations.
Summary Generated by Built In

AI Engineer

Location: Baku, Azerbaijan

Type: Full-time

Company: eiLink LLC

Candidate types: Locals


About eiGroup

At eiGroup, we believe ideas can change industries - but only if they are nurtured with structure, science, and courage.

We’re an R&D and Innovation Venture Studio that transforms human ingenuity into technological value that scales.

Our ecosystem brings together researchers, engineers, and creators who turn complex challenges into scalable products - from subsurface imaging to AI-driven analytics, from remote sensing to digital transformation.

Our ventures are built in-house, born from research, and grown into independent companies.

Together, we’re shaping how innovation takes root in this region - and how it reaches the world.

What You’ll Do

  • Assist in the design and development of NLP and LLM-based solutions, contributing to tasks from data preprocessing to model deployment under senior guidance.
  • Support data preprocessing workflows, including data cleaning, normalization, tokenization, and basic annotation tasks.
  • Help experiment with and refine prompt engineering techniques to improve LLM performance, including zero-shot and simple few-shot prompts.
  • Contribute to the implementation of retrieval-augmented generation (RAG) components, such as data indexing, retrieval testing, and prompt integration.
  • Participate in building LLM pipelines that interact with tools and APIs, using frameworks such as LangChain or internal libraries.
  • Work closely with seniors to learn best practices in:
      • Code development and version control
      • Model evaluation and testing
      • ML documentation and reproducibility
  • Write clean, modular code and follow established coding standards for ML projects.
  • Collaborate with web and backend developers to help integrate ML services and APIs into applications.
  • Assist in identifying data quality issues, bugs, or performance limitations and help troubleshoot them with the team.
  • Actively learn new NLP/LLM techniques and contribute ideas for improving existing solutions.

What You Bring

  • BSc or MSc in Computer Science, Machine Learning, AI, or a related field.
  • 1-2 years of experience in machine learning engineering, with good understanding of NLP and/or LLM concepts, with hands-on exposure through coursework, projects, or personal experimentation.
  • Expertise in data pre-processing, including regular expressions, data normalization, and pipeline design.
  • Understanding of modern LLM architectures (e.g., transformer-based models) and vector-based retrieval (RAG, BM25, etc.).
  • Awareness of LLM tooling or frameworks (e.g., LangChain or similar libraries), with willingness to learn agentic and orchestration concepts.
  • Understanding of agentic frameworks and orchestration of LLM-based agents using tools, search, and memory.
  • Ability to work collaboratively with cross-functional teams, including web/frontend/backend engineering.
  • Familiarity with containerization (Docker), cloud deployment (AWS/GCP/Azure), and RESTful API design.

Our benefits include:

  • Medical insurance (family coverage)
  • Flexible working hours
  • “Push 30” wellness program - company-covered
  • Childcare support
  • Company-provided lunch

Top Skills

AWS
Azure
Docker
GCP
Langchain
Llm
Nlp
Restful Api
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The Company
23 Employees
Year Founded: 2021

What We Do

We are a group of engineers and innovators, working together to create and launch ingenious products and companies today for a sustainable tomorrow.

Our vision is to paradigm shift R&D in the country, making it a competitive driver in the transformation of the national economy. With a mission to seed intellectual potential for a sustainable future, eiGroup embraces an integrated approach to research, development, and innovations that results in practical change across education and industries

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