Your Responsibilities
* Full Stack Development: Design, develop, and maintain end-to-end AI solutions, including Front End interfaces, Back End services, and data pipelines.
* AI System Development: Implement and optimize AI models, ensuring they are scalable, maintainable, and production-ready. Work on GenAI, Agentic AI, and classic ML solutions.
* Enterprise Integration: Integrate AI solutions with existing enterprise systems and ensure seamless operation within the clients technology stack.
* Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to identify opportunities and deliver robust AI solutions.
* Technical Leadership: Provide technical guidance and mentorship to junior engineers. Lead the implementation of best practices in AI/ML development and deployment.
* Innovation: Stay updated with the latest advancements in AI/ML technologies and contribute to the development of innovative solutions.
Your Profile
Essential Skills / Knowledge / Experience
* Proficiency in Python and extensive experience with AI/ML/NLP libraries (eg, Hugging Face Transformers, spaCy, NLTK).
* Experience with state-of-the-art LLMs (eg, GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation.
* Hands‑on experience with core GenAI frameworks (eg, LangChain, LlamaIndex) and Agentic AI frameworks (eg, AutoGen, CrewAI, LangGraph).
* Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).
* Strong working knowledge and practical deployment experience on major cloud platforms (AWS, Azure, GCP), including their AI/ML services.
* Strong foundation in software engineering principles for building scalable, maintainable, and production‑ready AI systems.
* Experience in designing and implementing enterprise‑grade AI solutions, including RAG-based solutions with LLMs and vector databases (eg, Pinecone, Weaviate, FAISS).
* Proven experience in full stack development and AI/ML system implementation within enterprise environments.
* Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, and autonomous agent design.
* Excellent communication and stakeholder management skills.
* Experience working on client proposals and leading technical presentations.
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