Senior AI/ ML Engineer

Broad Function: We are looking for a Senior AI/ML Engineer to join our AI Platform team and drive the design, development, and production deployment of intelligent agentic systems. You will work at the intersection of cutting -edge Gen AI research and real -world engineering, owning end -to -end delivery of LLM -powered products from RAG pipelines and multi -agent orchestration to model fine -tuning, safety guardrails, and observability. This is a hands -on, high -ownership role. You will mentor engineers, influence architecture decisions, and collaborate closely with product and data science teams to ship AI features that are reliable, scalable, and safe Purpose of the Role: To design, build, and deploy scalable AI/ML solutions, including LLM -powered and agentic systems, ensuring high performance, reliability, and safety. Drive end -to -end delivery of AI products while mentoring teams and influencing architecture to enable impactful, production -ready AI capabilities. Roles and Responsibilities (not limited to): 1.Core AI & Generative AI: Design and develop advanced AI systems including: Agentic RAG, Adaptive RAG pipelines Multi -Agent Systems (MAS) Evaluate and optimize LLM outputs based on: Retrieval quality Answer relevance and faithfulness Build scalable AI workflows using frameworks such as Lang Chain and Lang Graph Testing and Support. 2. Model Fine -Tuning & Alignment: Implement fine -tuning techniques such as: LoRA and QLoRA Enhance model performance through alignment strategies ensuring: Accuracy Safety Domain relevance 3.AI Protocols & Integration: Work with emerging AI standards including: Model Context Protocol (MCP) Agent -to -Agent (A2A) communication Integrate AI systems into enterprise environments Leverage tools such as Agent Development Kit (ADK) 4. Machine Learning & NLP: Apply strong ML fundamentals including: Model evaluation, cross -validation, and hyperparameter tuning Work with NLP concepts such as: Tokenization, embeddings, transformers, attention mechanisms Develop models using PyTorch and/or TensorFlow 5.Engineering & Production: Develop scalable, production -grade applications using Python Optimize databases using SQL/PostgreSQL Work on full -stack integrations 6.Data & Vector Infrastructure: Design and implement vector -based architecture using pgvector, Pinecone, Weaviate, Qdrant, etc. Build: Embedding pipelines Chunking strategies Scalable similarity search systems Broad Function: We are looking for a Senior AI/ML Engineer to join our AI Platform team and drive the design, development, and production deployment of intelligent agentic systems. You will work at the intersection of cutting -edge Gen AI research and real -world engineering, owning end -to -end delivery of LLM -powered products from RAG pipelines and multi -agent orchestration to model fine -tuning, safety guardrails, and observability. This is a hands -on, high -ownership role. You will mentor engineers, influence architecture decisions, and collaborate closely with product and data science teams to ship AI features that are reliable, scalable, and safe Purpose of the Role: To design, build, and deploy scalable AI/ML solutions, including LLM -powered and agentic systems, ensuring high performance, reliability, and safety. Drive end -to -end delivery of AI products while mentoring teams and influencing architecture to enable impactful, production -ready AI capabilities. Roles and Responsibilities (not limited to): 1.Core AI