AI Implementation Engineer - Python Focus

What makes Techjays an inspiring place to work :

At Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful technology that drives meaningful change.

Our global team consists of professionals who have honed their skills at leading companies such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. With engineering teams across the globe, we deliver tailored AI software and services to clients ranging from startups to large-scale enterprises.

Be part of a company that's pushing the boundaries of digital transformation. At Techjays, you'll work on exciting projects that redefine industries, innovate with the latest technologies, and contribute to solutions that make a real-world impact. Join us on our journey to shape the future with AI.

We are looking for a mid-level AI Implementation Engineer with a strong Python background to join our AI initiatives team. In this role, you will help design and develop production-ready systems that combine information retrieval, vector databases, and large language models (LLMs) into scalable Retrieval-Augmented Generation (RAG) pipelines.

You'll work closely with AI researchers, backend engineers, and data teams to bring generative AI use cases to life across multiple domains.

Key Responsibilities :

• Develop and maintain scalable Python services that implement AI-powered retrieval and generation workflows.
• Build and optimize vector-based retrieval pipelines using tools like FAISS , Pinecone , or Weaviate .
• Integrate LLMs via APIs (e.g., OpenAI, Hugging Face) using orchestration frameworks such as LangChain , LlamaIndex , etc.
• Collaborate on system architecture, API design, and data flow to support RAG systems.
• Monitor, test, and improve the performance and accuracy of AI features in production.
• Work in cross-functional teams with product, data, and ML stakeholders to deploy AI solutions quickly and responsibly.

Requirements :

Nice to have :

What we offer :

Skills Required

Git, Docker, Elasticsearch, RESTful API development, Microservices, Python