Dynamisch - Senior Artificial Intelligence Engineer - LLM/RAG

Designation : Senior AI Engineer (LLM Integration, ML Ops & Research)

Location : Pune (Onsite)

Experience : 4 to 6 Years

About 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 initiative

Core 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 projects

Why 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