Senior engineer

2 days ago

Bangalore, India Senzcraft Full time

Founded by IIM Bangalore and IEST Shibpur Alumni, Senzcraft is a hyper-automation company. And Design Business Process For The Future. Using intelligent process automation technologies. We have a suite of Saa S products and services, partnering with automation product companies. Please visit our website - for more details Our AI Operations Saa S platform – Senzcraft on linkedin - Senzcraft is awarded by Analytics India Magazine in it’s report “State of AI in India” as a “Niche AI startup”. Senzcraft is also recognized by NY based SSON as a top hyper-automation solutions provider. About the Role (Senior Gen AI Engineer)We are seeking a highly skilled Senior Gen AI Engineer with 5+ years of experience in AI/ML and automation engineering to design, develop, and deploy production-ready Generative AI solutions. Build and deploy Gen AI/LLM-powered applications, integrating frameworks such as Crew AI, Lang Chain, Auto Gen, Semantic Kernel, or Llama Index. Develop and maintain Model Context Protocol (MCP) interfaces and servers to enable interoperability across AI/simulation components. Implement efficient Retrieval-Augmented Generation (RAG) pipelines, vector DB integration (Pinecone, FAISS, Chroma), and embedding strategies. Apply prompt engineering, model fine-tuning, and optimization techniques to improve Gen AI solutions. Architect, build, and scale agent-based systems for enterprise use cases, ensuring performance, security, and maintainability. Cloud & Deployment: Deploy AI/ML workloads on AWS, Azure, and GCP, leveraging services like Dynamo DB, storage, compute, and container runtimes. Leadership & Collaboration: Lead a team of engineers, providing technical guidance and ensuring alignment with business objectives while also contributing actively to coding and solution development. Engage with both technical and non-technical stakeholders to align AI solutions with business goals. Continuous Learning: Stay current with the latest in Generative AI, LLM research, orchestration frameworks, and MLOps/LLMOps practices. Experience: 5+ years in AI/ML engineering, including at least 2+ years in Gen AI/LLM applications. Programming: Strong proficiency in Python (async, API integration); experience with Java, Java Script/Node.js, React.js, and front-end technologies is a plus. Hands-on experience with Open AI, Anthropic, Mistral, or similar LLMs; Vector DBs & RAG: Expertise in embeddings and vector databases (Pinecone, FAISS, Chroma) and retrieval-based architectures. Experience with MCP server implementation and building agent-based Gen AI solutions. Cloud Platforms: Practical experience deploying AI/ML systems on AWS, Azure, or GCP. Knowledge of CI/CD, monitoring, and ML/LLM operationalization best practices. Nice to Have: Database expertise (SQL, No SQL, Dynamo DB), containerization (Docker/Kubernetes), Infra-as-Code (Terraform), and experience with front-end integrations. Strong collaboration across product, engineering, and business teams. Continuous improvement in solution performance, reliability, and user adoption.  

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