Advanced Artificial Intelligence Engineer

1 day ago

Bengaluru, Karnataka, India beBeeArtificial Full time ₹ 20,00,000 - ₹ 40,00,000

Transform the future of artificial intelligence by becoming a leading expert in multi-agent systems, LLMs, and enterprise data integration. This is an exceptional opportunity to architect and build innovative solutions using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers.

">Key Responsibilities
  • Architect and build multi-agent systems for complex tasks, leveraging cutting-edge frameworks and technologies.
  • Fine-tune and prompt-engineer LLMs for retrieval-augmented generation (RAG), reasoning, and tool use, ensuring high accuracy and efficiency.
  • Integrate agents with enterprise data sources, including APIs, SQL/NoSQL databases, and vector stores like Pinecone and Elasticsearch.
  • Own the MLOps lifecycle, from containerization to automation, monitoring, and observability, ensuring seamless deployment and maintenance.
  • Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features.
  • Benchmark and iterate on latency, cost, and accuracy, designing experiments, running A/B tests, and presenting findings to stakeholders.
RequirementsTechnical Skills
  • 35 years of software engineering or ML experience in production environments.
  • Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go.
  • Hands-on experience with at least one LLM/agent framework and platform.
  • Solid grasp of vector databases and embedding models.
  • Experience building and securing REST/GraphQL APIs and microservices.
  • Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization).
  • Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar).
  • Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines.
Soft Skills
  • Product mindset: translating ambiguous requirements into clear deliverables and user value.
  • Communication: explaining complex AI concepts to both engineers and executives; writing crisp documentation.
  • Collaboration & ownership: thriving in cross-disciplinary teams, proactively unblocking yourself and others.
  • Bias for action: experimenting quickly, measuring, iterating without sacrificing quality or security.
  • Growth attitude: staying curious, seeking feedback, mentoring juniors, and adapting to the fast-moving GenAI space.

Join us in shaping the future of artificial intelligence and driving innovation through cutting-edge technology and expertise.

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