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13 Ksolves India Limited Jobs
Gen AI Engineer
Ksolves India Limited
posted 3+ weeks ago
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Flexible timing
Key skills for the job
Job Description
Roles Responsibilities:
- Build and optimize RAG (Retrieval-Augmented Generation) and Agentic AI workflows using LangChain, vector databases (Pinecone, FAISS, ChromaDB), and embedding models.
- Implement LLM fine-tuning, prompt chaining, and response ranking to enhance generative AI performance.
- Develop and evaluate retrieval mechanisms using semantic search and vector similarity techniques.
- Benchmark model performance using BLEU, ROUGE, METEOR, BERTScore, and other LLM evaluation metrics.
- Deploy AI models in production environments (AWS, GCP, Azure) with MLOps best practices for monitoring and retraining.
- Stay updated on the latest advancements in LLMs, transformers, and multi-agent AI architectures, applying new techniques to improve AI-driven applications.
- 2+ years of hands-on experience in Generative AI, RAG, and Agentic AI workflows, with expertise in LangChain, embedding models, and vector databases (Pinecone, FAISS, ChromaDB).
- Strong Python skills with experience in Hugging Face, PyTorch, TensorFlow, and scikit-learn for LLM fine-tuning and prompt engineering.
- Proficiency in benchmarking LLMs using BLEU, ROUGE, METEOR, and BERTScore, ensuring model quality and optimization.
- Experience in cloud-based deployments (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases, KubeFlow) for monitoring and retraining.
- Familiarity with containerized deployments (Docker, Kubernetes) and distributed computing (Ray, Spark) for scalable AI workloads.
- Strong problem-solving skills, with the ability to optimize LLM pipelines for latency, efficiency, and real-world applications.
Employment Type: Full Time, Permanent
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What people at Ksolves India Limited are saying
What Ksolves India Limited employees are saying about work life
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Flexible timing
Monday to Friday
No travel
Day Shift
Ksolves India Limited Benefits
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