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Innovative AI Developer Opportunity

2 weeks ago

Bengaluru, Karnataka, India beBeeSoftware Full time ₹ 1,20,00,000 - ₹ 2,50,00,000

AI Development Role

This is a challenging opportunity for skilled professionals to contribute to building innovative AI-driven applications using the latest cloud technologies.

The ideal candidate will develop systems to capture and process conversations, enabling advanced AI features with cutting-edge models. They will create highly scalable applications that deliver valuable insights from large datasets.

Key Responsibilities:

  • Design and implement micro-services that combine retrieval augmented generation (RAG), prompt pipelines, and tool calling agents for use-cases such as summarisation, Q& A, topic-detection, sentiment scoring, agentic workflow, multi-agent orchestration, large data pipeline, etc.
  • Owning offline + online eval harnesses (BLEU, ROUGE, human-in-the-loop, red-teaming) and implementing AI guardrails in place (PII filtering, toxicity checks).
  • Collaborating with PMs and designers to run A/B tests, ship weekly behind feature flags, and iterate based on usage signals.
  • Contributing Python production code (FastAPI/Ray) plus tests; reviewing PRs, writing design docs, and championing best practices for other product squads integrating LLMs.

Requirements:

  • 2+ years of professional experience developing backend applications, with strong proficiency in Python (typing, async, pytest, etc).
  • Solid understanding of scalable backend architectures.
  • Good knowledge of backend fundamentals: REST/GraphQL, distributed queues (Kafka/SQS), SQL (Postgres, MySQL), and NoSQL databases (MongoDB).
  • Comfortable working in Kubernetes-based environments and deploying applications in the cloud (AWS preferred).
  • Understanding of multi-threading, data replication, and cloud-native design patterns.
  • Proven ability to deliver reliable, data-driven applications at scale.
  • Experience with GenAI, ML/LLM framework (PyTorch, HuggingFace Transformers, or LangChain/LlamaIndex, etc), Prompt Engineering (prompt engineering, temperature / topp tuning, tokencost optimisation, etc), vector databases/search stacks (Elasticsearch kNN, Pinecone, FAISS, or equivalent) will be a plus.
  • Clear written and verbal communication; able to explain tradeoffs to both engineers and non-technical stakeholders.