Senior Software Engineer

About the role

The Senior Engineer - GenAI will design and build Generative AI solutions using LLMs, RAG, and LangChain to address real-world business problems, including developing autonomous agents capable of task planning, decomposition, and tool/API invocation.

Responsibilities:

● AI Solution Development: Build GenAI solutions using LLMs, RAG, and Lang chain to address real-world business problems.

● Agentic AI Systems: Design and implement autonomous agents capable of task planning, decomposition, and tool/API invocation.

● Backend & Orchestration Services: Develop robust Python-based services and orchestrators for managing model interactions, task workflows, and contextual data.

● Cloud-Based Deployment: Deploy and optimize AI models on Azure OpenAI and GCP Vertex AI, ensuring scalability, reliability, and performance.

● API Integration: Integrate OpenAI and other GenAI services into enterprise applications via REST APIs and cloud-native SDKs.

● Prompt Engineering & Fine-Tuning: Craft effective prompts and collaborate on model fine tuning to align LLMs with domain-specific tasks.

● Performance Tuning: Optimize latency, cost, and throughput of GenAI models running on cloud platforms.

● Documentation & Knowledge Sharing: Maintain clear documentation and mentor junior team members on GenAI concepts, tools, and best practices.

Requirements:

● 4-7 years of experience in AI/ML, with at least 3+ years hands-on in Generative AI / LLM systems.

● Proven expertise in Lang chain, OpenAI APIs, Azure OpenAI, and GCP Vertex AI. ● Strong Python programming skills; experience building REST APIs and microservices. ● Deep knowledge of LLM chaining, RAG, agent-based systems, and task orchestration. ● Experience deploying scalable AI systems in Azure and GCP environments. ● Familiarity with tools like FAISS, Chroma, Pinecone, Weaviate, or other vector stores