We are looking for experienced AI Developer to join our team in based out of our Kochi or Bangalore location with hybrid work options, to lead the design, development, and deployment of cutting-edge AI, Generative AI, and Agentic-AI solutions for enterprise customers. If youre passionate about joining a growing and dynamic team with a company with a positive culture and team spirit, wed love to connect with you!

Responsibilities :

- Design, plan, and implement AI, Generative AI, and Agentic-AI architectures for customer projects

- Develop custom end-to-end GenAI and LLM-based solutions, using frameworks such as LangChain, LangGraph, AutoGen, HuggingFace, and OpenAI APIs

- Implement and operate machine learning systems using TensorFlow, PyTorch, and modern LLM/ML tooling

- Build and manage cloud-based AI ecosystems on AWS, Azure, or GCP, including architecture design and platform operations

- Apply DevOps/MLOps and LLMOps practices, including CI/CD pipelines, containerization (Docker, Kubernetes), and model deployment workflows

- Collaborate closely with enterprise architects, engineering teams, and C-level stakeholders to align AI roadmaps and solution strategies

- Evaluate and introduce new AI technologies, frameworks, and agentic tools to expand the organizations (Gen)AI capabilities

- Lead the technical execution of proof-of-concepts (PoCs) in an agile environment

- Provide strategic consulting on cloud-native, scalable, and secure AI platform architectures

Requirements :

- Degree in (Business) Computer Science, Engineering, or a comparable technical field

- 5+ years of experience as a Solutions Architect or Enterprise Architect in cloud/data environments

- Proven experience developing and integrating LLM or Generative AI solutions into production systems

- Hands-on project experience designing complex cloud architectures on AWS, Azure, or GCPStrong knowledge of AI/ML development with Python and major ML frameworks (TensorFlow, PyTorch, HuggingFace)

- Practical experience with agentic AI frameworks (e.g., LangGraph, AutoGen) and LLM orchestration tools

- Experience with MLOps, DevOps, and container technologies such as Docker and Kubernetes; familiarity with CI/CD for ML models

- Understanding of architecture frameworks and agile methods (Scrum, Kanban)

- Excellent English communication skillsWillingness to travel, depending on project requirements