AI Engineer – HR Automation Platform (Python)

Job Description

Title: AI Engineer – HR Automation Platform (Python)

Company Name: CodeArena

Vacancy: 1

Age: Na

Job Location: Anywhere in Bangladesh

Salary: Tk. 90000 - 100000 (Monthly)

Experience:

• At least 4 years
• The applicants should have experience in the following business area(s): Software Company,IT Enabled Service,Artificial Intelligence (AI) Startup

• Bachelor of Science (BSc) in Computer Science

• At least 4 years
• The applicants should have experience in the following business area(s): Software Company,IT Enabled Service,Artificial Intelligence (AI) Startup

(We, CodeArena, help people find jobs. We train them and introduce them to great companies in the USA. Our goal is to make it easy for companies to find the right people and help skilled workers succeed.)

Required Skills:

• Proficient in Python and familiar with ML libraries like PyTorch, TensorFlow, Hugging Face, and scikit-learn

• Solid understanding of NLP and deep learning, especially transformer-based architectures

• Familiar with building and deploying RAG pipelines with vector databases (Pinecone, FAISS, Chroma)

• Comfortable working with orchestration tools such as LangChain, LangGraph, CrewAI, or similar

• Understanding of REST APIs, cloud infrastructure (AWS), and CI/CD pipelines

• Strong problem-solving mindset and attention to ethical, secure, and compliant AI development

Experience:

• At least 5 years of hands-on experience applying AI to software products or workflows

• Experience working with LLM APIs (OpenAI, Anthropic, Mistral, Cohere, etc.)

Experience in software architecture, functional design, and program leadership

Responsibilities

o   Design and implement AI pipelines for modules like recruitment analysis, career path prediction, and employee sentiment tracking

o   Develop and fine-tune LLM-based agents (e.g., OpenAI, Claude, Gemini) to support conversations, decisions, and HR workflows

o   Build automation flows across onboarding, performance tracking, time logging, and compensation planning

o   Integrate third-party LLM APIs and retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone or Weaviate

o   Contribute to solution design, prototyping, testing, and documentation

o   Collaborate on a multi-agent orchestration layer using tools like LangChain or custom logic

o   Work with the backend and DevOps teams to deploy AI microservices using containers

o   Use Python, PyTorch, TensorFlow, Hugging Face to train and deploy models

o   Maintain browser-based AI experiences via Chrome extensions or automation scripts

o   Run A/B tests and model evaluations to refine performance and usability

o   Keep models fair, auditable, and aligned with responsible AI practices, especially in hiring and performance evaluations