Python Developer

3 weeks ago

Kota, India Whatjobs IN C2 Full time

Company: CodeArrest Softwares Pvt. Ltd. Location: Remote (Flexible Timings) About the Role: About Us At Code Arrest , we build scalable, innovative, and future-ready software solutions for clients across the globe. As AI continues to reshape the tech landscape, we’re expanding our team to include passionate engineers who are eager to explore Generative AI , Agentic Systems , and LLM-powered applications . If you’re someone who loves building intelligent systems, experimenting with LLMs, and exploring frameworks like LangChain . this is the perfect opportunity for you. About the Role We’re looking for an AI Engineer (1–2 years experience) who has hands-on exposure to Generative AI, Agentic AI, and RAG (Retrieval-Augmented Generation) development. You’ll work closely with our technical leads to design, develop, and deploy AI-driven products and prototypes that solve real-world business challenges. What You’ll Be Doing Develop and integrate AI-powered applications using LangChain , LlamaIndex , and OpenAI APIs . Design and implement Agentic AI systems that perform reasoning, planning, and task automation. Work on RAG-based pipelines using vector databases like Pinecone , FAISS , or Weaviate . Fine-tune and evaluate LLMs for specific business use cases. Collaborate with backend and frontend developers to bring AI features to production. Stay up to date with the latest in the AI ecosystem LLMs, frameworks, and architectures. Must-Have Skills Strong programming skills in Python . Hands-on experience with LangChain , OpenAI API , Hugging Face Transformers , or LlamaIndex . Understanding of RAG pipelines , embeddings , and vector databases . Knowledge of Agentic AI frameworks like AutoGen , LangGraph , or CrewAI . Good understanding of REST APIs and backend architecture . Nice to Have Experience with Django or Flask for backend development. Exposure to React.Js for building AI-enabled web interfaces. Familiarity with PyTorch or TensorFlow . Experience deploying models or apps to AWS , GCP , or Azure . Basic understanding of prompt engineering and AI model evaluation . share your cv at

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