AI Solutions Developer

20 hours ago

Mumbai, Maharashtra, India beBeeArtificial Full time ₹ 12,00,000 - ₹ 17,00,000
Job Title: AI Solutions Developer

We are seeking a highly skilled AI Solutions Developer to design, build, and deploy intelligent AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic workflows, and edge computing.

You will work hands-on with cloud-native AI services, LLMOps pipelines, and enterprise-grade deployment patterns to solve business problems.

Key Responsibilities:
  • Design, develop, and fine-tune LLM-powered applications for enterprise use cases.
  • Evaluate LLM applications and develop observability frameworks.
  • Implement RAG pipelines using vector databases, embeddings, and optimized retrieval strategies.
  • Build agentic AI workflows with multi-step reasoning, tool calling, and integration with APIs.
  • Integrate GenAI solutions into multi-cloud or hybrid cloud environments.
  • Develop and optimize edge AI deployments for low-latency use cases.
  • Create data strategy, ingestion, transformation, enrichment, validations, quality checks via pipelines for AI ingestion, preprocessing, and governance.
  • Implement AI safety, bias mitigation, and compliance measures.
  • Work closely with LLMOps teams to enable continuous integration & deployment of AI models.
  • Benchmark and evaluate model performance, latency, and cost-efficiency.
Required Skills:
  • Proficient in cloud AI services.
  • Strong proficiency with Python and LLM frameworks.
  • Hands-on experience with vector DBs.
  • Experience building RAG-based and agentic AI solutions.
  • Familiarity with Edge AI frameworks.
  • Multi-modal AI experience.
  • Strong grasp of APIs, microservices, and event-driven architectures.
  • Knowledge of AI governance.
  • Experience in containerized deployments.
Preferred Skills:
  • Generative agents with memory and planning capabilities.
  • Real-time AI streaming.
  • Prior contributions to open-source GenAI projects.
  • Experience in building MCP, A2A protocol.

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