Looking for Gen AI Engineer with overall 8+Yrs of experience min 2yrs experience in Gen AI and 6+Yrs exp in Python.
8+ years of professional software engineering experience in Python.
2+ years of handson exposure of building production grade GenAI solutions.
Hands-on experience with Agents, RAG, TensorFlow, PyTorch, Hugging Face, and LangChain.
Strong handson exposure of Python and FastAPI development.
Deployed containerized apps to Kubernetes (GKE preferred); comfortable with Docker, Helm, basic K8s concepts.
Built and fine tune and optimize LLMs.
Expert at writing clear, reproducible prompts and familiar with advanced patterns (ReAct, Plan-and-Execute, Tree-of-Thought, etc.).
have good understanding of GenAI solutions deployment and monitoruing in production evnironment.
Mentor team members on AI/ML, MLOps, and cloud best practices.
Comfortable with modern engineering practices: Git, CI/CD, testing (pytest + LLM eval), code reviews and Agile delivery methodology.
Roles & Responsibilities
Design, build, and deploy AI/ML and Generative AI solutions using TensorFlow, PyTorch, Hugging Face, and LangChain.
Develop agentic and multimodal AI systems for customer engagement, document processing, and analytics.
Fine-tune and optimize LLMs (e.g., OpenAI, Llama, Mistral, Gemini) for domain-specific use cases (preferred).
Deploy scalable AI/ML services on AWS, Azure, and Kubernetes using Docker and Terraform.
Monitor, benchmark, and optimize AI workloads for performance, reliability, and cost.
Build data pipelines for preprocessing, augmentation, and feature extraction across image, audio, and text data.
Develop RESTful APIs and microservices to expose AI/ML capabilities.
Collaborate with cross-functional teams (QA, product, data engineering) to deliver impactful AI/ML solutions.
Lead knowledge-sharing sessions and contribute to open-source or internal AI communities.
* Strong collaboration, communication, mentoring, and knowledge-sharing abilities.
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