Synechron is seeking an experienced AI engineer to lead the development of autonomous, goal-driven AI agents designed to operate independently, adaptively, and safely within Google's ecosystem, leveraging generative models and agentic AI.
Requirements
- 10+ years of experience in AI, ML, or related fields with demonstrated expertise in generative AI and autonomous systems.
- Deep knowledge of large language models, reinforcement learning, and agent-based architectures.
- Hands-on experience with TensorFlow, Google Cloud AI tools, or similar frameworks.
- Strong programming skills in Python, C++, Java, or equivalent.
- Familiarity with AI safety, ethical considerations, and alignment in autonomous agents.
- Publications, patents, or open-source contributions in agentic AI or related domains.
- Experience with multi-modal AI, dynamic knowledge bases, or human-AI interaction.
Responsibilities
- Develop and optimize advanced generative models (e.g., large language models) that serve as the core of autonomous, agentic systems.
- Design algorithms enabling reasoning, decision-making, and goal management in AI agents.
- Research and integrate novel approaches in agent autonomy, multi-agent coordination, and reinforcement learning.
- Architect scalable pipelines for training, fine-tuning, and deploying agentic AI models on Google Cloud infrastructure.
- Collaborate with cross-functional teams to translate high-level requirements into innovative AI solutions.
- Monitor and improve the performance, robustness, and safety of deployed autonomous agents.
- Mentor junior team members and foster a culture of innovation.
Other
- Excellent problem-solving and communication skills.
- A multinational organization with 58 offices in 21 countries and the possibility to work abroad
- 10 days of paid annual leave (plus sick leave and national holidays)
- Maternity & Paternity leave plans
- A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)
