Job Title: AI Engineer

Location: -Viman Nagar, Pune

Experience- 4 plus Years

Timings: -11 am to 8 pm

Mode:- Hybrid Model

Be part of the AcquireX team that unleashes the power of leading-edge technologies to help improve e-commerce processes in the hardware world.

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Key Responsibilities

- Work on the full Gen-AI Stack: Optimize our full-stack, leveraging spec-driven development, Next.js + TypeScript, Python, and managed services like Azure OpenAI.
- Develop AI Systems: Design, develop, and deploy sophisticated AI Systems like Retrieval-Augmented Generation (RAG) to power our next-generation search and discovery experience.
- Develop & Fine-Tune LLMs: Develop advanced generative models for nuanced tasks like automated content creation, summarization, and metadata enrichment.
- Implement LLMOps: Embed robust observability using tools like OpenTelemetry and Prometheus. This includes tracking standard metrics (latency, cost, accuracy) and specialized monitoring for hallucination, toxicity, and data drift.

Must-Have Skills

- Production LLM Experience:



Experience in full-stack development with demonstrable success in productionizing LLM applications using modern frameworks like DSPY, LangChain, LlamaIndex, or Hugging Face Transformers.
- RAG Expertise: Deep, practical knowledge of RAG architecture, including advanced prompt engineering, chunking strategies, and proficiency with vector databases (e.g., Pinecone, Weaviate, Milvus).
- Cloud Proficiency: Expertise with managed LLM services (Azure OpenAI Service or AWS Bedrock). Strong foundational cloud skills in either Azure or AWS for compute orchestration (AKS/EKS), serverless functions, and storage.
- MLOps Acumen: Solid experience with Docker, CI/CD pipelines (e.g., GitHub Actions, Argo), and model registries.

Nice-to-Have Skills

- Experience with agentic workflows (e.g., AutoGen, CrewAI).
- Familiarity with multi-modal models (text, image, etc.).
- Knowledge of advanced LLM fine-tuning techniques (e.g., LoRA, QLoRA).
- Solid SQL skills (especially with ClickHouse) and a keen eye for inference cost optimization.

📌 AI Engineer (Pune)
🏢 AcquireX
📍 Pune