AI/ML Practice Head

As an experienced software engineer in the field of AI/ML or Agentic AI systems, you will be responsible for a variety of tasks and projects related to cutting-edge technologies. Your role will involve utilizing your deep experience with LLMs, embeddings, vector search, knowledge graphs, and RAG/GraphRAG pipelines. Your programming expertise in Python, including knowledge of LangChain, Haystack, FastAPI, and modern backend frameworks, will be essential for this position. Key Responsibilities: - Designing and scaling distributed microservices, serverless functions, and CI/CD workflows - Utilizing AI frameworks such as LangChain, Hugging Face, OpenAI/Anthropic, Autogen, and Semantic Kernel - Implementing AI-augmented developer tools like Cursor, Windsurf, GitHub Copilot, and Tabnine - Understanding cloud billing, performance tuning, telemetry, and cost drivers - Building agent orchestration systems, AI copilots, or autonomous workflows Qualifications Required: - 10+ years of experience in software engineering, with at least 4 years specifically in AI/ML or Agentic AI systems - Strong programming expertise in Python and modern backend frameworks - Hands-on cloud experience across AWS, Azure, GCP, or multi-cloud strategies, with familiarity in FinOps considered a plus - Familiarity with AI frameworks and tools mentioned in the job description - Proven track record in designing and scaling distributed systems, CI/CD workflows, and AI-related projects - Excellent communication skills and the ability to translate vision into scalable systems In addition to the challenging and rewarding responsibilities of the role, you will have access to competitive salary and founder-level equity package with stock options. You will also have the opportunity to lead the AI architecture for a high-growth startup in stealth, collaborate with a culture that values innovation and continuous learning, and access an elite network of FinOps experts, cloud architects, and AI advisors. Furthermore, you will have access to professional development stipend and mentorship opportunities to further enhance your skills and knowledge in the field.,