Talent Management industry
We combine cutting-edge Generative AI with our workforce expertise to create tools that empower people, enhance decision-making, and redefine how talent is managed.
Join us and be part of a team that's reshaping the future of work through innovation, collaboration, and AI excellence.
Job Summary
AI Engineer
Key Responsibilities
Technical Responsibilities
Design & Development:
Build, deploy, and optimize Generative AI solutions using LLMs, Retrieval-Augmented Generation (RAG), and AI workflow automation tools.Architecture:
Collaborate on designing scalable, reliable AI architectures using platforms such as Dify.ai, Windsurf, or Cursor.Research & Innovation:
Stay up to date with the latest advancements in Generative AI, including LLMs, agent frameworks, and automation tools, and integrate them into our solutions.Testing & Validation:
Develop robust testing and validation processes to ensure AI workflows, agents, and APIs are reliable, accurate, and scalable.
Leadership & Mentorship
Team Leadership:
Lead a team of interns focused on AI workflow creation, LLM integrations, and prompt engineering.Mentorship:
Train interns in Generative AI concepts, best practices, and tools including LLM-based agents and vector databases.Project Management:
Manage project allocations, ensure deliverables align with business goals, and support debugging and deployment of AI solutions.Performance Monitoring:
Track progress, provide feedback, and guide interns in developing their AI engineering careers.
Requirements:
Education
- Bachelor's or Master's degree in
Computer Science, Artificial Intelligence, or a related field
.
Experience
- Minimum
2 years of experience
developing Generative AI systems using LLMs, AI-driven automation, and agent-based architectures.
Technical Skills
- Proficient in
Python
and JavaScript
(experience with FastAPI
is a plus). - Experience with AI tools such as
Dify.ai, Windsurf, Cursor
, and various LLMs
(e.g., OpenAI, Mistral, Claude). - Familiarity with
containerization tools
like Docker and Kubernetes. - Understanding of
CI/CD pipelines
(e.g., GitHub Actions, Jenkins). - Strong command of version control using
Git
. - Solid foundation in
computer science fundamentals
, including data structures and algorithms.
Soft Skills
- Excellent problem-solving and analytical abilities.
- Strong communication and interpersonal skills.
- Proven experience in leading and mentoring teams.
Preferred / Bonus Skills
- Familiarity with advanced Generative AI tools and frameworks such as
ElevenLabs, Mistral, Claude, OpenAI, LangChain, LlamaIndex, Groq
. - Understanding of
RAG architectures
, vector databases
, and AI agent frameworks such as AutoGen, CrewAI, or Superagent
. - Exposure to platforms including
MCP, Hugging Face, OpenRouter, Flowise, or ChromaDB
.