Thoucentric - Generative AI Engineer

About Us :

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.

We help clients with Business Consulting, Program & Project Management, Digital Transformation, Product Management, Process & Technology Solutioning and Execution including Analytics & Emerging Tech areas cutting across functional areas such as Supply Chain, Finance & HR, Sales & Distribution across US, UK, Singapore and Australia. Our unique consulting framework allows us to focus on execution rather than pure advisory. We are working closely with marquee names in the global consumer & packaged goods (CPG) industry, new age tech and start-up ecosystem.

We have been certified as "Great Place to Work" by AIM and have been ranked as "50 Best Firms for Data Scientists to Work For".

We have an experienced consulting team of over 500+ world-class business and technology consultants based across six global locations, supporting clients through their expert insights, entrepreneurial approach and focus on delivery excellence. We have also built point solutions and products through Thoucentric labs using AI/ML in the supply chain space.

Job Description :

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 :

- Architect, build, and deploy Generative AI solutions tailored to business problems.

- Fine-tune and customize foundation/LLM models (e.g., GPT, LLaMA, Mistral, Falcon, Claude, Gemma).

- Build LLM-powered applications using frameworks such as LangChain, Haystack, LlamaIndex.

- Develop and manage RAG (Retrieval Augmented Generation) pipelines integrating vector databases (FAISS, Pinecone, Weaviate, Milvus, ChromaDB).

- Work with cloud AI services such as Azure OpenAI, AWS Bedrock, SageMaker, GCP Vertex AI.

- Implement MLOps pipelines for model training/monitoring using tools like MLflow, Kubeflow, Weights & Biases, DVC.

- Leverage Hugging Face ecosystem (Transformers, Diffusers, PEFT, Datasets) for model experimentation.

- Optimize AI workflows with GPU acceleration and inference optimization (e.g., ONNX, TensorRT, DeepSpeed, vLLM).

- Design and enforce secure, ethical, and responsible AI practices in all deployments.

- Collaborate with consultants, data engineers, and business analysts to understand client problems and deliver measurable solutions.

- Mentor junior engineers; contribute to internal accelerators and reusable solution :

Required Qualifications :

Education : Bachelors/Masters in Computer Science, Data Science, AI/ML, or a related field.

Experience :

- 5+ years in ML/DL, with minimum 2 years in Generative AI solution development.

- Expertise with Python and ML/DL libraries (PyTorch, TensorFlow, JAX).

- Strong knowledge of LLM training/fine-tuning techniques : LoRA, QLoRA, PEFT, instruction tuning.

- Proficiency in prompt engineering and evaluation of model outputs.

- Hands-on with vector databases and indexing pipelines for semantic search.

- Familiar with containerization and deployment tools (Docker, Kubernetes, Helm).

- Exposure to CI/CD pipelines for AI solutions and cloud-native patterns.

Preferred Skills :

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

- Exposure to multimodal AI (e.g., CLIP, Stable Diffusion, DALLE, Whisper).

- Contributions to open-source or personal projects showcasing Gen AI apps.

- Experience in reinforcement learning (RLHF/DPO) for model alignment.

- Working knowledge of streaming and event-driven architectures (Kafka, Flink) for real-time AI applications.

Benefits :

What a Consulting role at Thoucentric will offer you?

Opportunity to define your career path and not as enforced by a manager

A great consulting environment with a chance to work with Fortune 500 companies and startups alike.

A dynamic but relaxed and supportive working environment that encourages personal development.

Be part of One Extended Family. We bond beyond work - sports, get-togethers, common interests etc. Work in a very enriching environment with Open Culture, Flat Organization and Excellent Peer Group.

Be part of the exciting Growth Story of Thoucentric