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Job Type

Full Time

Job Description

Become part of an expert team dedicated to designing and deploying AI agents that transform enterprise operations. You'll be integral to our AI development efforts, creating intelligent automation workflows powered by LLMs, RAG pipelines, and vector databases. This role blends technical implementation with strategic solution architecture, offering significant impact opportunities across global consulting projects

Technical & Domain Expertise

  • Design and develop AI agent systems and automation solutions, combining coding with no-code platforms
  • Create custom logic and scalable, efficient architectures for AI agents that power complex workflows across functions (Marketing, Finance, IT, etc.)
  • Define and implement architecture for multi-agent systems, ensuring seamless integration across various platforms and tools (e.g., CRM, databases, external APIs)
  • Implement RAG pipelines tailored for advanced use cases with custom knowledge bases
  • Integrate and manage Vector Databases for semantic search and retrieval capabilities
  • Collaborate with business teams to understand requirements and develop reliable, scalable AI solutions
Requirements
  • B.E./B.Tech in Computer Science, Information Technology, Artificial Intelligence, or related disciplines from a Tier 1/Tier 2 institute
  • 2–4 years of experience in software development, with at least 1-year hands-on experience in developing AI-based applications and automations
  • Proficiency in Python, APIs, and backend systems
  • Experience with LLM APIs (OpenAI, Mistral, Claude, Gemini), prompt engineering, and fine-tuning techniques.
  • Hands-on experience with RAG frameworks like LangChain, LlamaIndex, or similar
  • Working knowledge of Vector databases such as FAISS, Chroma, Qdrant, Weaviate, or similar
  • Hands-on-experience with workflow automation platforms such as N8N, MAKE, Langflow, or similar
  • Knowledge of data preprocessing, cleaning, and transformation techniques
  • Understanding of cloud deployment (AWS/GCP/Azure) and basic DevOps practices is a plus
Benefits
  • High-growth environment with steep learning curve and international exposure
  • Opportunity to shape business-critical decisions and strategiesA supportive team environment that values innovation and collaboration
  • Competitive compensation package with performance-based bonus and tax friendly structure
  • Hybrid work culture

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