AI Application Developer

7 days ago

Alwar, Rajasthan, India beBeeApplication Full time ₹ 1,00,00,000 - ₹ 1,50,00,000
Job Title: AI Application Developer

We are seeking a highly skilled professional to join our team as an AI application developer. The ideal candidate will have strong expertise in Agentic AI, LLMs and proven experience in deploying production-grade project experiences.

About the Role

This role involves designing, building, fine-tuning and deploying LLM agents and multi-modal AI applications that solve real-world business challenges. As a key member of our team, you will play a crucial role in shaping agent design, orchestration and observability while ensuring enterprise-grade scalability, robustness and performance.

Key Responsibilities
  • Conceptualize, design and implement LLM-powered agents and NLP solutions tailored to business needs.
  • Build multi-agent and multi-modal AI applications/frameworks, ensuring interactivity, latency optimization, failover and usability.
  • Apply advanced design principles for structured outputs, tool usage, speculative decoding, AST-Code RAG, streaming and async/sync processing.
Hands-on Coding & Development
  • Write, test and maintain clean, scalable and efficient Python code for LLMs and AI agents.
  • Implement fine-tuning, embeddings and prompt engineering with a focus on cost, latency and accuracy.
  • Integrate models with vector databases (Milvus, Qdrant, ChromaDB, CosmosDB, MongoDB).
Performance & Monitoring
  • Monitor and optimize LLM agents for latency, scalability, robustness and explainability.
  • Implement observability and guardrails strategies for enterprise-safe AI deployments.
  • Handle model drift, token consumption optimization and error recovery mechanisms.
Research & Innovation
  • Read, interpret and implement AI/Agent research papers into practical production-ready solutions.
  • Stay ahead of academic and industry trends in Agentic AI, multimodal AI, orchestration frameworks and evaluation methodologies.
  • Experiment with new AI orchestration tools, evaluation frameworks and observability platforms.
Debugging & Issue Resolution
  • Diagnose and resolve model inaccuracies, system integration issues and performance bottlenecks.
  • Apply advanced debugging techniques to troubleshoot deployment errors, data inconsistencies and unexpected agent behaviors.
Continuous Learning & Adaptability
  • Quickly unlearn outdated practices and adapt to emerging GenAI and Agentic AI technologies.
  • Contribute to a culture of innovation by experimenting, prototyping and scaling cutting-edge AI solutions.

Required Skills & Experience:

  • 5–9 years total experience, with 4+ years in NLP, CV and LLMs.
  • Strong expertise in GenAI, LLMs, RAG pipelines, embeddings and vector databases.
  • Proficiency in Python with strong debugging and system design skills.
  • Hands-on experience with Agentic AI frameworks.
  • Proven record of production-grade AI deployments.
  • Cloud experience: Azure (preferred), AWS or GCP.
  • Knowledge of AI orchestration, evaluation, guardrails and observability tools.

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