Lead AI Engineer I - R01571162

Brillio 2
Bangalore +1 more
Hybrid

Who this role is best for

A natural match if you have hands-on experience with agentic AI frameworks and cloud-native architectures.

Best fit for

  • Candidates with hands-on experience in agentic AI and cloud-native systems, and a track record of full-stack development.
    — “Experience with cloud-native architectures, agentic AI frameworks, and scalable full-stack systems”
  • Individuals who have worked with LLM-based frameworks and have a strong grasp of prompt engineering and RAG.
    — “Work with LLM-based frameworks and agent orchestration tools to create intelligent, adaptive workflows”
  • Professionals with a background in building microservices and event-driven systems, and deploying on major cloud platforms.
    — “Develop and deploy cloud-native solutions leveraging platforms such as Azure, AWS, and GCP”

Things to consider

  • The role requires a hybrid work arrangement with a presence in Bangalore.
    — “Location: Bangalore (Hybrid)”
  • Candidates must be proficient in both frontend and backend technologies, which may demand a broader skill set.
    — “Design and build end-to-end full-stack intelligent applications, integrating frontend, backend, and APIs using modern frameworks”

How to stand out

  • Highlight specific agentic AI projects and cloud-native deployments in your resume and interview examples.
    — “Experience with agentic AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI”
  • Demonstrate your ability to build and optimize microservices and event-driven systems.
    — “Develop scalable backend systems using microservices and event-driven architectures”
  • Showcase your expertise in Python and JavaScript/TypeScript with concrete examples from your work.
    — “Advanced proficiency in Python and JavaScript/TypeScript”
  • Emphasize your contributions to open-source AI/ML or full-stack projects if available.
    — “Contributions to open-source projects or hackathons in AI/ML or full stack domains”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Developed and deployed cloud-native solutions
  • Created intelligent, adaptive workflows
Typical background
4-6 years experience in ML engineeringHands-on work with cloud-native architectures

Skills & requirements

Required

PythonJavascript/typescriptReactNode.jsJava Spring BootFastapiDjangoCloud PlatformsAgentic AI FrameworksPrompt Engineering

Preferred

Autonomous SystemsConversational AIVector DatabasesEvent Streaming SystemsOpen-source Contributions

Stack & domain

PythonJavaScriptTypeScriptReactAngularVueNode.jsJava Spring BootFastapiDjangoAzureAWSGCPDockerKubernetesRestful APIMicroservicesEvent-driven ArchitecturesLangchainLlamaindexSemantic KernelAutogenCrewaiPrompt EngineeringRetrieval-augmented GenerationCi/cd PipelinesVector DatabasesKafkaPub/subAWS Certified Machine Learning SpecialtyAzure AI Engineer AssociateGoogle Professional Machine Learning EngineerTensorflow Developer CertificateReact Professional CertificationCloud PlatformsAgentic AI Frameworks

About the role

Original posting from Brillio 2 via Lever

Lead AI Engineer I

Job requirements:

Experience Range: With at least 4 to 6 years of experience in ML engineering, including hands-on work with cloud-native architectures, agentic AI frameworks, and scalable full-stack systems Key Responsibilities:

  • Design and build end-to-end full-stack intelligent applications, integrating frontend, backend, and APIs using modern frameworks
  • Develop and deploy cloud-native solutions leveraging platforms such as Azure, AWS, and GCP
  • Build and implement agentic AI applications, including multi-agent systems and autonomous workflows
  • Develop scalable backend systems using microservices and event-driven architectures, optimizing for performance, security, and scalability
  • Work with LLM-based frameworks and agent orchestration tools to create intelligent, adaptive workflows
  • Ensure best practices in code quality, testing, debugging, observability, and performance optimization
  • Collaborate with cross-functional teams to translate business requirements into robust technical solutions and participate in architectural decisionsRequired Skills:
  • Advanced proficiency in Python and JavaScript/TypeScript
  • Experience with frontend frameworks such as React, Angular, or Vue
  • Backend expertise with Node.js, Java Spring Boot, or Python (FastAPI, Django)
  • Hands-on experience with cloud platforms (Azure, AWS, GCP)
  • Proficiency in containers (Docker) and basic understanding of Kubernetes
  • RESTful API and microservices design
  • Experience with agentic AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI
  • Understanding of prompt engineering and Retrieval-Augmented Generation (RAG)
  • Familiarity with CI/CD pipelinesPreferred Skills:
  • Experience with autonomous systems or multi-agent architectures
  • Knowledge of conversational AI or AI-driven automation workflows
  • Familiarity with vector databases (FAISS, Pinecone, etc.)
  • Expertise in event streaming systems like Kafka or Pub/Sub
  • Contributions to open-source projects or hackathons in AI/ML or full stack domainsDesired Qualifications:
  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related discipline
  • Certification in cloud platforms (e.g., AWS Certified Machine Learning Specialty, Azure AI Engineer Associate, Google Professional Machine Learning Engineer)
  • Relevant certification in agentic AI frameworks or full-stack development (e.g., TensorFlow Developer Certificate, React Professional Certification)Additional Information: Location: Bangalore (Hybrid)

Source: Brillio 2 careers (Lever)

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