We are looking for a skilled and forward-thinking AI Engineer Agentic AI Specialist to join our growing AI team. In this role you will design and implement cutting-edge Agentic AI solutions including autonomous AI agents powered by large language models (LLMs). Your work will directly contribute to transforming business processes and enabling intelligent automation across the enterprise.
Responsibilities
- Solution Development: Design build and deploy Agentic AI solutions that enable autonomous decision-making and intelligent behavior in business systems.
- LLM Integration: Work extensively with large language models (LLMs) to build robust AI agents and integrate them into production-grade applications.
- Collaborative Design: Partner with the Business AI Transformation Consultant to understand business requirements and translate them into scalable AI implementations.
- Technology R&D: Stay current with emerging trends and research in Agentic AI multi-agent systems and LLM-driven architectures to continuously improve solution capabilities.
- Code Quality: Write clean maintainable and secure code following best practices for testing versioning and documentation in enterprise environments.
- System Optimization: Optimize performance cost-efficiency and robustness of AI systems using appropriate frameworks tools and architectural patterns.
Qualifications :
- Bachelors degree in Computer Science Software Engineering Artificial Intelligence or a related field.
- Masters degree preferred for deeper specialization in AI or machine learning.
- Minimum 5 years of hands-on experience in AI/ML development with specific exposure to Agentic AI multi-agent systems or autonomous AI agents.
- Strong programming skills in Python with experience using ML frameworks such as TensorFlow PyTorch or Hugging Face Transformers.
- Practical experience working with LLMs (e.g. OpenAI Anthropic Cohere) and frameworks for AI agent development (e.g. LangChain AutoGPT CrewAI etc.).
- Solid understanding of software development life cycles (SDLC) CI/CD pipelines and DevOps principles for AI deployments.
- Experience with vector databases (e.g. Pinecone FAISS) and retrieval-augmented generation (RAG) pipelines.
- Familiarity with cloud platforms (e.g. AWS SageMaker Azure ML Google Vertex AI) and containerization (Docker Kubernetes).
- Knowledge of enterprise-grade security and compliance practices for deploying AI systems.
- Prior involvement in AI research or contributions to open-source Agentic AI projects is a plus.
Why Join Us
- Work on the frontier of autonomous AI and enterprise innovation.
- Collaborate with a multidisciplinary team of AI professionals and domain experts.
- Make real-world impact by building intelligent systems that transform how businesses operate.
Additional Information :
Benefits
- Full access to foreign language learning platform
- Personalized access to tech learning platforms
- Tailored workshops and trainings to sustain your growth
- Medical insurance
- Meal tickets
- Monthly budget to allocate on flexible benefit platform
- Access to 7 Card services
- Wellbeing activities and gatherings
Remote Work :
Yes
Employment Type :
Full-time