Role & responsibilities Roles & Responsibilities
- Design, develop, and implement scalable Generative AI and LLM-based applications.
- Build Agentic AI workflows and Multi-Agent systems using LangChain and LangGraph.
- Develop advanced RAG pipelines, including document processing, embeddings, vector search, retrieval, and reranking.
- Work with open-source LLMs such as Llama, Qwen, and Mistral.
- Implement LLM fine-tuning using LoRA and QLoRA techniques.
- Optimize LLM performance, inference speed, latency, and resource utilization.
- Integrate external tools, APIs, function calling, and Model Context Protocol (MCP).
- Develop and deploy AI services using Python and FastAPI.
- Containerize and orchestrate AI applications using Docker and Kubernetes.
- Deploy and manage AI solutions across AWS, Azure, GCP, and on-premises environments.
- Ensure scalability, security, reliability, and performance of production AI systems.
- Collaborate with engineering and product teams to deliver enterprise-grade AI solutions. Preferred candidate profile Preferred Candidate Profile
- 6 to 8 years of overall IT/Software Development experience.




- Strong hands-on experience in Python programming and AI/ML development.
- 4 to 6 years of experience in AI/ML, with 23+ years in Generative AI and LLM-based application development.
- Hands-on experience building Agentic AI workflows and Multi-Agent systems using LangChain and LangGraph.
- Strong practical knowledge of RAG, Advanced Retrieval, vector databases, embeddings, and semantic search.
- Experience with LLM fine-tuning techniques such as LoRA and QLoRA.
- Hands-on exposure to open-source LLMs such as Llama, Qwen, and Mistral.
- Good understanding of LLM optimization, inference, quantization, and model deployment.
- Experience with tool calling, function calling, and MCP integration.
- Knowledge of Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.
- Experience deploying scalable AI solutions in production and on-premises environments.
- Solid problem-solving, analytical, and communication skills.

Education:
B.
E./B.
Tech in Computer Science, IT, AI/ML or a related discipline. MCA/M.
Tech/M.
Sc. candidates are also preferred.

📌 Ai Framework Engineer (Mumbai)
🏢 Ohara IT Solutions
📍 Mumbai