Please note that ARC Document Solutions is the hiring company and Inovact is the hiring partner for ARC. Position: AI Developer – Generative AI Location: Kolkata, India Company: ARC Document Solutions India Private Limited Website: www.e-arc.com About the role: We are seeking skilled AI Developers with expertise in Generative AI to join our growing team. The ideal candidate will have hands-on experience building applications powered by Large Language Models (LLMs), developing Retrieval-Augmented Generation (RAG) pipelines, and optimizing Chain of Thought (CoT) reasoning. You will play a key role in designing, developing, and deploying advanced AI solutions that integrate cutting-edge NLP techniques with scalable, production-ready systems. Key Responsibilities: AI Model Development Design and develop applications using Generative AI models. Implement RAG pipelines to enhance model accuracy by incorporating external knowledge sources. Apply CoT reasoning techniques to improve complex problem-solving capabilities. Prompt Engineering & Fine-Tuning Craft and optimize prompts for accurate, contextually relevant model outputs. Fine-tune LLMs with domain-specific data to improve performance and relevance. Vector Database & Indexing Integrate and optimize vector databases (e.g., Pinecone, FAISS, Milvus) for efficient data retrieval. Utilize frameworks like LangChain and LlamaIndex to build and query document embeddings. Model Optimization & Deployment Enhance model performance through hyperparameter tuning and experimentation. Deploy and monitor AI models in production environments, ensuring scalability, reliability, and robustness. Collaboration & Innovation Work closely with data scientists, engineers, and business teams to align AI solutions with business objectives. Stay up to date with the latest advancements in Generative AI, NLP, and ML technologies. Required Skills: Experience: 3+ years of experience in AI/ML development, with a strong focus on Generative AI and NLP. Technical Skills: Advanced proficiency in Python and AI libraries such as TensorFlow, PyTorch, and Keras. Hands-on expertise in RAG pipelines, CoT reasoning, and vector search. Strong knowledge of LangChain, LlamaIndex, and vector database integration. NLP Expertise: Deep understanding of transformers, BERT, GPT, and Named Entity Recognition (NER). Proven experience in fine-tuning LLMs and building custom NLP pipelines. Tools & Technologies: Familiarity with cloud platforms (AWS, GCP, or Azure) for model deployment. Experience with Docker, Kubernetes, and MLOps practices. Soft Skills: Strong analytical and problem-solving abilities. Excellent collaboration and communication skills. Preferred Skills: Experience with multi-modal AI models (text, image, audio). Knowledge of LLM evaluation frameworks and interpretability techniques. Familiarity with CI/CD pipelines for AI model deployment.

Please note that ARC Document Solutions is the hiring company and Inovact is the hiring partner for ARC. Position: AI Developer – Generative AI Location: Kolkata, India Company: ARC Document Solutions India Private Limited Website: www.e-arc.com About the role: We are seeking skilled AI Developers with expertise in Generative AI to join our growing team. The ideal candidate will have hands-on experience building applications powered by Large Language Models (LLMs), developing Retrieval-Augmented Generation (RAG) pipelines, and optimizing Chain of Thought (CoT) reasoning. You will play a key role in designing, developing, and deploying advanced AI solutions that integrate cutting-edge NLP techniques with scalable, production-ready systems. Key Responsibilities: AI Model Development Design and develop applications using Generative AI models. Implement RAG pipelines to enhance model accuracy by incorporating external knowledge sources. Apply CoT reasoning techniques to improve complex problem-solving capabilities. Prompt Engineering & Fine-Tuning Craft and optimize prompts for accurate, contextually relevant model outputs. Fine-tune LLMs with domain-specific data to improve performance and relevance. Vector Database & Indexing Integrate and optimize vector databases (e.g., Pinecone, FAISS, Milvus) for efficient data retrieval. Utilize frameworks like LangChain and LlamaIndex to build and query document embeddings. Model Optimization & Deployment Enhance model performance through hyperparameter tuning and experimentation. Deploy and monitor AI models in production environments, ensuring scalability, reliability, and robustness. Collaboration & Innovation Work closely with data scientists, engineers, and business teams to align AI solutions with business objectives. Stay up to date with the latest advancements in Generative AI, NLP, and ML technologies. Required Skills: Experience: 3+ years of experience in AI/ML development, with a strong focus on Generative AI and NLP. Technical Skills: Advanced proficiency in Python and AI libraries such as TensorFlow, PyTorch, and Keras. Hands-on expertise in RAG pipelines, CoT reasoning, and vector search. Strong knowledge of LangChain, LlamaIndex, and vector database integration. NLP Expertise: Deep understanding of transformers, BERT, GPT, and Named Entity Recognition (NER). Proven experience in fine-tuning LLMs and building custom NLP pipelines. Tools & Technologies: Familiarity with cloud platforms (AWS, GCP, or Azure) for model deployment. Experience with Docker, Kubernetes, and MLOps practices. Soft Skills: Strong analytical and problem-solving abilities. Excellent collaboration and communication skills. Preferred Skills: Experience with multi-modal AI models (text, image, audio). Knowledge of LLM evaluation frameworks and interpretability techniques. Familiarity with CI/CD pipelines for AI model deployment.