Urgent hiring

2 days ago

Delhi, India Senzcraft Full time

Https:// 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 Senior Gen AI Engineer with 3+ years of experience and with strong expertise in Agentic AI development using Lang Chain and Lang Graph, along with solid foundations in traditional Machine Learning and Deep Learning.The ideal candidate will own and lead team to design, develop, and deploy AI-driven applications leveraging LLMs, Vector Databases, and Gen AI frameworks to solve complex real-world problems.Key ResponsibilitiesDesign and implement Agentic AI workflows using Lang Chain and Lang Graph for intelligent automation and reasoning-based solutions.Develop scalable Gen AI-powered APIs and microservices using Python and Fast API.Design and implement RAG-based solutions for client.Collaborate with cross-functional teams to deliver production-grade Gen AI solutions with high performance and reliability.Apply AI Ops practices (Lang Fuse, Docker, Jenkins, Groovy) for deployment, monitoring, and CI/CD.Build and optimize Machine Learning/Deep Learning models, understanding on hyperparameter tuning/ performance evaluation.Stay current with emerging AI trends, frameworks, and best practices in Agentic and Generative AI systems.Required Skills & Experience3–8 years of professional experience in AI/ML or Gen AI development.Hands-on experience with Lang Chain and Lang Graph for Agentic solution design.Experience working with Vector Databases (FAISS, Pinecone, Weaviate, or Mongo DB).Familiarity with LLMs (Open AI, Azure Open AI, Anthropic Claude, Meta Llama, etc.).Deep understanding of Machine Learning algorithms – regression, decision trees, SVM, random forests, deep learning, and reinforcement learning.Strong proficiency in Python and Fast API.Expertise with frameworks such as Tensor Flow, Py Torch, scikit-learn, and Keras.Strong foundation in mathematics and statistics (linear algebra, calculus, probability, and statistics).Experience in SQL, data preprocessing, and feature engineering.Good to HaveWorking knowledge of AI Ops tools – Lang Fuse, Jenkins, Docker, Groovy, Fit Nesse, and CI/CD pipelines.Experience in LLM fine-tuning.Exposure to e RAG (Azure-based RAG solution).Familiarity with prompt engineering and LLM observability tools.Understanding on NFRs, solution architecture and deployment modelsExperience: 3+ yearsLocation: BangaloreWork Mode: HybridNotice Period: Immediate joiners preferred, up to 15 days’ notice accepted

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