Job Overview
Zycus is looking for an innovative AI Engineer to lead the development of scalable AI solutions using open-source technologies, large language model (LLM) APIs, and advanced AI techniques. The role involves working with RAG architectures, fine-tuning LLMs, deploying open-source models, and collaborating on production-grade deployments. This is a great opportunity to work with cutting-edge AI technologies and drive impactful projects at a global leader in cognitive procurement software.
Job Details
- Company: Zycus
- Job Position: AI Engineer
- Location: Mumbai, Pune, Bengaluru
- Qualification: Bachelor’s/Master’s in Computer Science, AI, or related fields
- Salary: Industry standard, negotiable based on experience
- Experience: Minimum 2–6 years preferred (based on role requirements)
Key Responsibilities
- Architect, build, and optimize AI solutions using open-source models and third-party LLM APIs.
- Design and implement RAG, GraphRAG, and Agent Systems with orchestration and function calling.
- Fine-tune and prompt-tune large language models (LLMs) for business use cases.
- Deploy and manage self-hosted models like Llama 2 and Mistral using scalable APIs.
- Integrate AI/ML solutions into production systems using Python frameworks such as FastAPI and Flask.
- Build automation pipelines for data retrieval, preprocessing, and model evaluation.
- Stay updated on the latest AI trends and drive strategic adoption within teams.
- Ensure robust monitoring, testing, and documentation for system reliability.
- Collaborate across teams for successful integration of AI components.
- Optimize inference and scaling strategies for hosted open-source models.
- Contribute to cost-efficient scaling and performance improvement initiatives.
- Support the integration of cloud-native solutions using AWS, Azure, or GCP.
- Utilize vector databases like Pinecone, Qdrant, and pgvector for enhanced search capabilities.
- Participate in open-source AI/ML project contributions and innovations.
- Maintain high standards of coding quality and project delivery timelines.
Required Skills and Knowledge
- Expertise in Python and backend development with FastAPI/Flask.
- Proficiency with open-source models and LLM APIs (OpenAI, Anthropic, Groq).
- Strong knowledge of RAG architectures, Agent Systems, and GraphRAG.
- Experience with fine-tuning models using LoRA, QLoRA.
- Skills in deploying scalable AI APIs and managing AI workflows.
- Familiarity with NLP/ML frameworks like PyTorch, Transformers, LangChain, LlamaIndex.
- Knowledge of cloud platforms (AWS, Azure, GCP) and vector databases.
Preferred Skills
- Optimization techniques like quantization and distillation for model efficiency.
- Knowledge of multi-agent systems and chain-of-thought prompting.
- Experience with distributed training, GPU optimization, and MLOps tools (MLflow, Kubeflow).
- Contribution to open-source AI/ML initiatives.
About Zycus
Zycus is a pioneer in Cognitive Procurement software and a trusted partner for global enterprises for over two decades. Recognized by Gartner and Forrester, Zycus’ Source to Pay suite is powered by the Merlin AI Suite, which enhances procurement efficiency with data-driven insights and AI automation. With a focus on innovation and a user-friendly interface, Zycus drives savings, compliance, and adoption across enterprises.
Why Join Zycus
- Work with a Cloud SaaS company creating AI-driven products.
- Be part of a market leader recognized by global analysts.
- Opportunities to shift roles and grow across departments.
- Gain global exposure by working with international clients.
- Create impactful solutions and contribute to product innovation.
- Work with cutting-edge technologies like ML, AI, React, AngularJS.
- Collaborate in a diverse, inclusive, and growth-driven culture.
Important Links
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