AI/ML Practice Head

As a Senior Software Engineer with expertise in AI/ML or Agentic AI systems, you will be responsible for contributing to cutting-edge AI research and production challenges. Your role will involve designing and scaling distributed microservices, serverless functions, and CI/CD workflows. You will have the opportunity to lead the AI architecture for a high-growth startup in stealth mode. Key Responsibilities: - Deep experience with LLMs, embeddings, vector search, knowledge graphs, and RAG/GraphRAG pipelines - Strong programming expertise in Python (LangChain, Haystack, FastAPI), and modern backend frameworks - Hands-on cloud experience across AWS, Azure, GCP or multi-cloud strategies; familiarity with FinOps is a plus - Hands-on experience with AI frameworks: LangChain, Hugging Face, OpenAI/Anthropic, Autogen, Semantic Kernel - Proven track record in designing and scaling distributed microservices, serverless functions, and CI/CD workflows - Familiarity with AI-augmented developer tools (Cursor, Windsurf, GitHub Copilot, Tabnine) - Strong understanding of cloud billing, performance tuning, telemetry, and cost drivers - Prior experience building agent orchestration systems, AI copilots, or autonomous workflows preferred - Excellent communication skills, with the ability to translate vision into scalable systems Qualifications Required: - 10 years in software engineering, with 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; familiarity with FinOps is a plus - Familiarity with AI frameworks: LangChain, Hugging Face, OpenAI/Anthropic, Autogen, Semantic Kernel - Proven track record in designing and scaling distributed microservices, serverless functions, and CI/CD workflows - Familiarity with AI-augmented developer tools (Cursor, Windsurf, GitHub Copilot, Tabnine) - Strong understanding of cloud billing, performance tuning, telemetry, and cost drivers - Prior experience building agent orchestration systems, AI copilots, or autonomous workflows preferred - Excellent communication skills, with the ability to translate vision into scalable systems (Note: The additional details of the company were not provided in the Job Description) As a Senior Software Engineer with expertise in AI/ML or Agentic AI systems, you will be responsible for contributing to cutting-edge AI research and production challenges. Your role will involve designing and scaling distributed microservices, serverless functions, and CI/CD workflows. You will have the opportunity to lead the AI architecture for a high-growth startup in stealth mode. Key Responsibilities: - Deep experience with LLMs, embeddings, vector search, knowledge graphs, and RAG/GraphRAG pipelines - Strong programming expertise in Python (LangChain, Haystack, FastAPI), and modern backend frameworks - Hands-on cloud experience across AWS, Azure, GCP or multi-cloud strategies; familiarity with FinOps is a plus - Hands-on experience with AI frameworks: LangChain, Hugging Face, OpenAI/Anthropic, Autogen, Semantic Kernel - Proven track record in designing and scaling distributed microservices, serverless functions, and CI/CD workflows - Familiarity with AI-augmented developer tools (Cursor, Windsurf, GitHub Copilot, Tabnine) - Strong understanding of cloud billing, performance tuning, telemetry, and cost drivers - Prior experience building agent orchestration systems, AI copilots, or autonomous workflows preferred - Excellent communication skills, with the ability to translate vision into scalable systems Qualifications Required: - 10 years in software engineering, with 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; familiarity with FinOps is a plus - Familiarity with AI frameworks: LangChain, Hugging Face, OpenAI/Anthropic, Autogen, Semantic Kernel - Proven track record in designing and scaling distributed microservices, serverless functions, and CI/CD workflows - Familiarity with AI-augmented developer tools (Cursor, Windsurf, GitHub Copilot, Tabnine) - Strong understanding of cloud billing, performance tuning, telemetry, and cost drivers - Prior experience building agent orchestration systems, AI copilots, or autonomous workflows preferred - Excellent communication skills, with the ability to translate vision into scalable systems (Note: The additional details of the company were not provided in the Job Description)