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Dynamisch - Senior Artificial Intelligence Engineer - LLM / RAG

Dynamisch - Senior Artificial Intelligence Engineer - LLM / RAG

Dynamisch IT Pvt ltd.Pune
10 days ago
Job description

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
  • (ref : hirist.tech)

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