AI/ML Agentic Workflows Engineer

The AI/ML Agentic Workflows Engineer (Sr/Staff) will: • Provide hands-on technical leadership to design, develop, optimize and deploy Generative AI features, leveraging expertise in LLMs, RAGs, NLP, and AI infrastructure to optimize Agents quality, reliability and performance. • Support and Lead a strong technical team across the US and Bangalore, guiding them on state-of-the-art approaches to ML system design, Agent design and orchestration while establishing the best in class data-driven development practices. • Build agents that streamline data extraction, transformations and analysis. • Define scalable evaluation strategies that balance AI with human reviewers. What You'll Need • Proven success delivering AI and agentic products from concept to adoption, with hands-on design of real-time ML systems. • Experience with GenAI, LLMs, NLP, RAG, and Knowledge Graphs across the ML lifecycle (train, optimize, deploy, monitor). • Expertise in multi-agent systems and frameworks like LlamaGraph or LangChain for complex workflows. • Proficiency deploying and scaling ML/agentic solutions in cloud environments (e.g., AWS). • Passion for rapid iteration and high-quality execution with an entrepreneurial mindset. • BS in CS or equivalent, 5-10 years of experience; MS/PhD preferred. What Will Make You Stand Out • ML/LLM work in code generation (e.g., Codex, text-to-SQL), semantic extraction, or knowledge graphs (e.g., Neo4j, Neptune). • Experience with big-data engines like Spark. • Compiler development for languages like SQL, Python, or Scala. • Optimization of ML models for low-latency, high-throughput production use. • Contributions to open-source AI/ML projects (e.g., Hugging Face, PyTorch). • Expertise in retrieval systems or vector databases (e.g., Pinecone, Weaviate). • Skill in evaluating tech and driving build/buy decisions.