Senior AI Engineer

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Skills you'll use

What you'll do

• · Develop innovative Enterprise GenAI and Agentic AI solutions for complex business use cases.
• · Collaborate with business stakeholders to understand requirements and translate them into meaningful, scalable solutions.
• · Work with automotive domain experts to gain relevant insights and incorporate them into AI applications.
• · Design and build enterprise-grade RAG, GraphRAG, and multi-agent applications.
• · Architect cloud-agnostic AI/GenAI solutions across Azure, AWS, GCP, and on-premise environments.
• · Build and host AI applications and models on-premise using vLLM, Ollama, or similar platforms.
• · Own the complete application lifecycle, from PoC and MVP to production deployment and ongoing optimization.
• · Evaluate agents and implement efficient tracking of agent actions, tool calls, execution flows, quality, latency, cost, and failures.
• · Fine-tune and optimize open-source SLMs/LLMs for domain-specific use cases.
• · Hands-on experience building agents with LangGraph, AutoGen, Semantic Kernel, Google ADK, Microsoft Agent Framework, or similar frameworks.

Who can apply

• · Hands-on experience building agents with LangGraph, AutoGen, Semantic Kernel, Google ADK, Microsoft Agent Framework, or similar frameworks.
• · Experience building agents on Microsoft Copilot Studio, AWS Bedrock AgentCore, Azure AI Foundry, or comparable platforms.
• · Strong expertise in Python, with mandatory experience in FastAPI and Flask.
• · Experience developing and deploying enterprise applications on Azure, AWS, and/or GCP.
• · Experience architecting and delivering cloud-agnostic AI/GenAI solutions.
• · Experience hosting and operating models and applications in on-premise environments.
• · Experience with domain fine-tuning of open-source models such as Gemma, Llama, and Mistral.
• · Experience building production-grade RAG and GraphRAG applications.
• · Experience with agent evaluation, observability, benchmarking, tracing, and AgentOps practices.
• · Knowledge of Transformers, GANs, Vision-Language Models (VLMs), multimodal AI, SLMs, and LLMs.

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