Space-O Technologies
We’re looking for a Senior AI Developer with deep expertise in building AI agent systems, retrieval-augmented generation (RAG) pipelines, and deploying production‑grade GenAI applications. You will be a core contributor in designing, developing, and scaling intelligent agentic workflows using modern frameworks like LangGraph, CrewAI, and LangChain. This is a high-impact role for someone passionate about LLMs, context‑aware automation, and multi‑agent orchestration.
Required Qualifications
Programming
– Python (advanced), Typescript/Node.js (nice to have) Agent Systems
– Designing task‑oriented agents with memory, tool use, planning, and inter‑agent communication RAG Architecture
– Document loaders, chunking strategies, vector embedding models, hybrid search (BM25 + vector), contextual reranking Infrastructur e – Vector DBs (e.g., Weaviate, Pinecone, Qdrant, Elasticsearch), Postgres, MongoDB Other
– Strong written and verbal communication; ability to work independently and own initiatives end to end Experience deploying multi‑agent systems in real‑world products. Familiarity with graph-based orchestrators like LangGraph and node‑level planning. Contributions to open-source AI tools or published work in LLM/agentic systems. Exposure to GenAI safety, audit logging, and access controls in enterprise settings Roles and Responsibilities
Design and implement AI agent frameworks for task decomposition, tool use, memory handling, and multi‑turn conversations. Build and optimize RAG pipelines using tools like LangChain, LlamaIndex, or custom vector search setups. Integrate agents with internal tools, APIs, and databases to support real‑world use cases (e.g., customer support, scheduling, workflow automation). Collaborate with ML researchers and product teams to experiment with novel architectures and orchestrators like LangGraph and CrewAI. Monitor and evaluate model performance across various use cases using telemetry and custom analytics. Ship production‑ready systems with robust logging, testing, and monitoring pipelines. Stay up‑to‑date with the latest in LLMs, open‑source agentic frameworks, and vector search infrastructur Apply for AI Engineer
Fill the information to schedule your interview. Upload your resume here* upload Only Word or PDF Document allowed. (Max size 8 MB) B-301-307, Sankalp Iconic Tower, Near Iscon Cross Road, Ambli - Bopal Rd, Ahmedabad, Gujarat 380058
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Programming
– Python (advanced), Typescript/Node.js (nice to have) Agent Systems
– Designing task‑oriented agents with memory, tool use, planning, and inter‑agent communication RAG Architecture
– Document loaders, chunking strategies, vector embedding models, hybrid search (BM25 + vector), contextual reranking Infrastructur e – Vector DBs (e.g., Weaviate, Pinecone, Qdrant, Elasticsearch), Postgres, MongoDB Other
– Strong written and verbal communication; ability to work independently and own initiatives end to end Experience deploying multi‑agent systems in real‑world products. Familiarity with graph-based orchestrators like LangGraph and node‑level planning. Contributions to open-source AI tools or published work in LLM/agentic systems. Exposure to GenAI safety, audit logging, and access controls in enterprise settings Roles and Responsibilities
Design and implement AI agent frameworks for task decomposition, tool use, memory handling, and multi‑turn conversations. Build and optimize RAG pipelines using tools like LangChain, LlamaIndex, or custom vector search setups. Integrate agents with internal tools, APIs, and databases to support real‑world use cases (e.g., customer support, scheduling, workflow automation). Collaborate with ML researchers and product teams to experiment with novel architectures and orchestrators like LangGraph and CrewAI. Monitor and evaluate model performance across various use cases using telemetry and custom analytics. Ship production‑ready systems with robust logging, testing, and monitoring pipelines. Stay up‑to‑date with the latest in LLMs, open‑source agentic frameworks, and vector search infrastructur Apply for AI Engineer
Fill the information to schedule your interview. Upload your resume here* upload Only Word or PDF Document allowed. (Max size 8 MB) B-301-307, Sankalp Iconic Tower, Near Iscon Cross Road, Ambli - Bopal Rd, Ahmedabad, Gujarat 380058
#J-18808-Ljbffr