Gen AI Engineer

At Thoucentric, we offer end-to-end consulting solutions designed to address the most pressing business challenges across industries. Leveraging deep domain expertise, cutting-edge technology, and a results-driven approach, we help organizations streamline operations, enhance decision-making, and accelerate growth. We are headquartered in Bangalore with presence across multiple locations in India, US, UK, Singapore & Australia Globally.

Role Overview

You will be involved in full lifecycle AI solution delivery – from research and prototyping to scaling and deployment. The ideal candidate combines strong theoretical ML/DL grounding with applied experience in foundation models, LLM fine-tuning, vector search, Gen AI application frameworks, and deployment on large-scale infrastructure.

Key Responsibilities

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  Architect, build, and deploy Generative AI solutions tailored to business problems.
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  Fine-tune and customize foundation/LLM models (e.g., GPT, LLaMA, Mistral, Falcon, Claude, Gemma).
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  Build LLM-powered applications using frameworks such as LangChain, Haystack, LlamaIndex.
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  Develop and manage RAG (Retrieval Augmented Generation) pipelines integrating vector databases (FAISS, Pinecone, Weaviate, Milvus, ChromaDB).
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  Work with cloud AI services such as Azure OpenAI, AWS Bedrock, SageMaker, GCP Vertex AI.
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  Implement MLOps pipelines for model training/monitoring using tools like MLflow, Kubeflow, Weights & Biases, DVC.
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  Leverage Hugging Face ecosystem (Transformers, Diffusers, PEFT, Datasets) for model experimentation.
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  Optimize AI workflows with GPU acceleration and inference optimization (e.g., ONNX, TensorRT, DeepSpeed, vLLM).
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  Design and enforce secure, ethical, and responsible AI practices in all deployments.
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  Collaborate with consultants, data engineers, and business analysts to understand client problems and deliver measurable solutions.
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  Mentor junior engineers; contribute to internal accelerators and reusable solution templates.

Requirements

Required Qualifications

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  Education: Bachelor’s/Master’s in Computer Science, Data Science, AI/ML, or a related field.
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  Experience: 5+ years in ML/DL, with minimum 2 years in Generative AI solution development.
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  Expertise with Python and ML/DL libraries (PyTorch, TensorFlow, JAX).
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  Strong knowledge of LLM training/fine-tuning techniques: LoRA, QLoRA, PEFT, instruction tuning.
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  Proficiency in prompt engineering and evaluation of model outputs.
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  Hands-on with vector databases and indexing pipelines for semantic search.
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  Familiar with containerization and deployment tools (Docker, Kubernetes, Helm).
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  Exposure to CI/CD pipelines for AI solutions and cloud-native patterns.

Preferred Skills

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  Experience in enterprise AI implementation (chatbots, document intelligence, knowledge assistants, customer interaction systems).

· Exposure to multimodal AI (e.g., CLIP, Stable Diffusion, DALL·E, Whisper).

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  Contributions to open-source or personal projects showcasing Gen AI apps.
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  Experience in reinforcement learning (RLHF/DPO) for model alignment.
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  Working knowledge of streaming and event-driven architectures (Kafka, Flink) for real-time AI applications.

Benefits