Job
Description
As a GenAI Senior Developer & Architect at Auxiliobits, you will play a crucial role in designing, engineering, and deploying cutting-edge GenAI and Agentic AI systems. Your expertise in LLMs, multimodal models, RAG systems, vector databases, and Agentic AI frameworks will be essential in leading the end-to-end lifecycle of advanced AI solutions. **Key Responsibilities:** - **Architecture & Solution Design** - Architect scalable GenAI and Agentic AI solutions using LLMs, RAG, multi-agent frameworks, LangChain, LangGraph, LlamaIndex, DSPy, etc. - Design end-to-end AI pipelines including ingestion, embeddings, vector search, model orchestration, memory, and multi-agent reasoning. - Own architectural decisions ensuring reliability, alignment, and governance. - **Hands-on Engineering & Model Development** - Build and fine-tune LLM-powered applications using OpenAI, Anthropic, Mistral, Azure OpenAI, AWS Bedrock, Hugging Face, etc. - Implement context-aware agents capable of autonomous reasoning, planning, and tool execution. - Develop high-performance APIs, microservices, and integrations with automation tools (UiPath, Power Automate). - **Agentic AI Execution** - Build AI agents with capabilities like tool calling, workflow orchestration, autonomous task execution, chain-of-thought evaluation, zero-shot and few-shot decisioning. - Implement guardrails, safety layers, and enterprise governance mechanisms. - **Technical Leadership** - Drive the GenAI roadmap within the AI CoE and collaborate with RPA, cloud, and engineering teams. - Mentor developers on best practices for AI architecture, prompt engineering, and multi-agent system design. - Evaluate and experiment with emerging research, frameworks, and LLM architectures. - **Deployment & DevOps** - Build production-grade GenAI applications deployed on Azure, AWS, or GCP. - Optimize cost, latency, scalability, and reliability of AI workloads. - Implement observability for LLM behaviors, memory, and agent workflows. **Required Skills:** - Strong hands-on experience with Agentic AI, multi-agent workflows, or autonomous system design. - Expertise in Python, FastAPI/Django/Flask, and cloud-native development. - Deep understanding of LLM APIs, embeddings, tokenization, prompt engineering, and transformers. - Experience building systems with LangChain / LangGraph, LlamaIndex, DSPy, Haystack, and Vector DBs like Pinecone, Weaviate, Chroma, Qdrant. - Experience deploying AI workloads on Azure or AWS using services like Azure OpenAI, Azure ML, AWS Bedrock, SageMaker, Lambda. - Strong understanding of RPA/IPA ecosystems (UiPath preferred). - Knowledge of Docker, Kubernetes, CI/CD pipelines. **Nice-to-Have:** - Experience with retrieval-augmented generation (RAG) optimizations. - Exposure to enterprise automation, ERP systems (SAP/Oracle), or EMR/EHR integrations. - Prior work building AI copilots, chatbots, or decisioning agents. - Publications, open-source contributions, or research in AI/ML. If you join Auxiliobits, you can expect an opportunity to architect next-generation Agentic AI systems used by global enterprises, a leadership role within a rapidly growing AI Center of Excellence, a high-ownership, innovation-driven environment, competitive compensation, and performance incentives, and the chance to work alongside industry experts in AI, automation, and enterprise technology.,
