Dynamisch - Senior Artificial Intelligence Engineer - LLM/RAG

2 weeks ago

Pune, India Dynamisch IT Pvt ltd. Full time

Designation : Senior AI Engineer (LLM Integration, ML Ops & Research)Location : Pune (Onsite)Experience : 4 to 6 YearsAbout the Role : Were building an AI Innovation Core within Dynamisch a fast-moving team dedicated to exploring real-world applications of AI, automation, and large language models (LLMs).As a Senior AI Engineer, youll bridge the gap between research and productization turning experimental models into production-ready AI tools. Youll collaborate directly with the CTO, lead our growing AI team, and play a key role in shaping Dynamischs AI-first ecosystem.If you enjoy experimenting, building, and deploying AI solutions that create real business impact, this role is made for you.Key Responsibilities LLM Engineering & Integration : - Design, build, and optimize AI/LLM-based solutions using OpenAI, Anthropic, HuggingFace, Mistral, or Gemini APIs- Develop prompt pipelines, AI agents, and tool-calling workflows using LangChain / CrewAI / LangGraph / MCP Servers- Work with retrieval systems (RAG), embeddings, and vector databases like FAISS, Pinecone, or Qdrant Data Engineering & ML Ops : - Build and maintain ETL and data pipelines for model training and inference- Deploy AI models using FastAPI, Docker, and cloud platforms (AWS, Azure, or GCP)- Implement model versioning, dataset management, and inference optimization- Automate training and evaluation pipelines for consistency and scalability Research & Experimentation : - Fine-tune open-source models (LoRA, QLoRA, PEFT)- Benchmark and compare open-source vs. API-based models- Document experiments and share internal research insights- Stay updated with emerging frameworks like vLLM, Ollama, and HuggingFace Transformers Mentorship & Collaboration : - Guide junior engineers in Python, data workflows, and AI techniques- Collaborate with frontend and backend teams to integrate AI components- Participate in internal demos and contribute to the Dyna-AI Framework initiativeCore Technical Skills : - Proficiency in Python- Hands-on with LangChain, LlamaIndex, CrewAI, vLLM or similar frameworks- Experience with FastAPI, Docker, GitHub Actions- Knowledge of vector databases (FAISS, Pinecone, Qdrant)- Familiarity with HuggingFace Hub, transformers, datasets, and tokenizers- Understanding of model fine-tuning (LoRA, QLoRA, PEFT, SFT)- Exposure to cloud AI services (AWS Sagemaker, Azure OpenAI, GCP Vertex)Good to Have : - Knowledge of MLOps tools (MLflow, DVC, Weights & Biases)- Experience in frontend integration (Streamlit, Gradio, ReactJS)- Awareness of data security (HIPAA/GDPR) and compliance standards- Contributions to open-source AI projectsWhy Join Us : - Build real AI systems used in healthcare, fintech, and automation domains- Work directly with the CTO and senior engineering teams- Access to GPU infrastructure, paid API credits, and live datasets- Freedom to experiment, publish, and innovate- Fast decisions, open culture, and visible impact (ref:hirist.tech)

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