Job Description
Position: AI Engineer (Agentic AI)
Work Experience (Mumbai/Pune/Gurgaon)
• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• 4+ years of experience in AI/ML or software development with hands-on exposure to LLMs.
• Strong proficiency in Python and experience with AI frameworks such as Agentic, Lang Chain, Llama Index, Auto Gen, or CrewAI.
• Experience working with LLM APIs (OpenAI, Anthropic, Google Gemini, etc.) and vector databases (Pinecone, Chroma, FAISS).
• Knowledge of agent orchestration, prompt engineering, and context memory management.
• Familiarity with cloud environments (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
Responsibilities
Design and Develop AI Agents: Build intelligent, autonomous agents leveraging LLMs, memory frameworks, and multi-agent coordination systems (e.g., Lang Chain, CrewAI, Auto Gen).
Integrate APIs and Tools: Connect agents with third-party APIs, knowledge bases, and internal systems to enable dynamic data access and real-time task execution.
Optimize Agent Performance: Apply reinforcement learning, context management, and retrieval-augmented generation (RAG) techniques to enhance reasoning and accuracy.
Develop End-to-End Pipelines: Create scalable, production-ready pipelines for AI agent deployment, monitoring, and continuous improvement.
Collaborate with Cross-Functional Teams: Partner with product managers, ML engineers, and domain experts to translate business use cases into functional agentic systems
Work Experience (Mumbai/Pune/Gurgaon)
• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• 4+ years of experience in AI/ML or software development with hands-on exposure to LLMs.
• Strong proficiency in Python and experience with AI frameworks such as Agentic, Lang Chain, Llama Index, Auto Gen, or CrewAI.
• Experience working with LLM APIs (OpenAI, Anthropic, Google Gemini, etc.) and vector databases (Pinecone, Chroma, FAISS).
• Knowledge of agent orchestration, prompt engineering, and context memory management.
• Familiarity with cloud environments (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
Responsibilities
Design and Develop AI Agents: Build intelligent, autonomous agents leveraging LLMs, memory frameworks, and multi-agent coordination systems (e.g., Lang Chain, CrewAI, Auto Gen).
Integrate APIs and Tools: Connect agents with third-party APIs, knowledge bases, and internal systems to enable dynamic data access and real-time task execution.
Optimize Agent Performance: Apply reinforcement learning, context management, and retrieval-augmented generation (RAG) techniques to enhance reasoning and accuracy.
Develop End-to-End Pipelines: Create scalable, production-ready pipelines for AI agent deployment, monitoring, and continuous improvement.
Collaborate with Cross-Functional Teams: Partner with product managers, ML engineers, and domain experts to translate business use cases into functional agentic systems
💡 Quick Summary
Seeking a career-building opportunity? The AI Engineer; Agentic AI position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
