Scope
Generative AI Specialist with 5-7 years’ experience in AI/ML engineering, data processing and LLM Models. In this role, you will design, deploy, and optimize AI agents using Large Language Models (LLMs) and complementary tools. A solid grounding in AI Engineering and MLOps is essential.
Our Current Technical Environment
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Advanced Python and SQL programming.
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React/TypeScript/Next.js (javascript frameworks) Knowledge for building intuitive user interfaces.
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Demonstrated expertise in integrating AI solutions into large-scale, complex systems with a focus on scalability and operational efficiency.
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Strong problem-solving, analytical, and communication skills.
What You’ll Do
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Architect and develop sophisticated AI agents leveraging LLMs and other Generative AI technologies to automate and optimize supply chain processes.
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Fine-tune and adapt LLMs for specific industry use cases, including instruction tuning, embeddings, and vector database integration. Demonstrates good understanding of the product and owns one or more modules
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Write efficient, clean, and production-ready Python code in accordance with best practices and organizational guidelines.
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Build user-friendly, scalable UIs with React and TypeScript to enhance AI-driven tools.
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Implement robust testing and automated pipelines to ensure solutions are scalable, maintainable, and reliable.
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Lead efforts to minimize infrastructure costs and optimize system performance for AI-driven applications.
What We Are Looking For
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BE/B. Tech or ME/M. Tech with 5-7 years of experience in Software Development of large and complex enterprise applications.
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Professional experience in python, built or worked on AI applications/tools, integrations and data engineering, knowledge on LLMs with a strong focus on AI agentic workflows.
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Experience in building and deploying AI agents using frameworks like LangChain, LlamaIndex, and LangGraph.
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Hands-on experience with LLM training, fine-tuning, embeddings, and instruction tuning.
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Proficiency in cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes).
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Solid background in traditional AI methodologies (e.g., classical machine learning, rule-based systems) to complement emerging agent-based solutions. Demonstrates problem solving and innovation ability.
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Ability to do R&D in latest developments in AI especially pertaining to new models or platforms being launched.
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Participates in company technical evaluations and coding challenges.
Our Values
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
