Lead Engineer - R01571338

Brillio 2
Bangalore +1 more
On-site

Who this role is best for

Best suited to candidates with deep Python and AI/ML experience working in software engineering and API development. The role appears to emphasize hands-on coding and integration with OpenAI tools.

Best fit for

  • Candidates with strong Python and AI/ML development experience, particularly in API design and prompt engineering
    — “Strong proficiency in Python 3.x, Data structures, algorithms, and OOP concepts”
  • Individuals who have implemented RAG patterns and optimized model usage for cost and performance
    — “RAG (Retrieval-Augmented Generation) patterns, Token management, rate limits, cost optimization”
  • Engineers familiar with RESTful API design and integration with external tools and functions
    — “RESTful API design and implementation, Function calling & tool integration”

Things to consider

  • The role likely demands significant time spent on coding, prompt optimization, and API integration.
    — “Writing clean, modular, and reusable code, Prompt engineering & prompt optimization”
  • The position focuses heavily on working with OpenAI APIs and may require specific experience with them.
    — “OpenAI APIs (Chat Completions, Assistants, Embeddings)”

How to stand out

  • Highlight experience with Python-based AI integrations and RESTful API development in your resume.
    — “RESTful API design and implementation”
  • Demonstrate your ability to optimize prompts and manage token costs in interviews.
    — “Prompt engineering & prompt optimization, Token management, rate limits, cost optimization”
  • Showcase projects involving RAG implementation and function calling with external tools.
    — “RAG (Retrieval-Augmented Generation) patterns, Function calling & tool integration”
  • Emphasize your expertise in writing clean, modular, and reusable Python code.
    — “Writing clean, modular, and reusable code”
  • Include experience with virtual environments like venv, poetry, or pipenv in your profile.
    — “Virtual environments (venv, poetry, pipenv)”
Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · Team

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

What success looks like

  • Developed and maintained robust backend systems using Python
Typical background
Experience in backend development with Python

Skills & requirements

Required

Python 3.xData StructuresAlgorithmsOOP ConceptsClean CodeRestful API DesignFile HandlingOpenai ApisPrompt EngineeringFunction CallingRAG PatternsToken ManagementRate LimitsCost OptimizationFine-tuning Concepts

Stack & domain

PythonData StructuresAlgorithmsOOP ConceptsClean CodeModular CodeReusable CodeException HandlingLoggingVirtual EnvironmentsRestful API DesignRestful API ImplementationFile HandlingCSVJSONXMLOpenai ApisChat CompletionsAssistantsEmbeddingsPrompt EngineeringPrompt OptimizationFunction CallingTool IntegrationRAG PatternsToken ManagementRate LimitsCost OptimizationFine-tuning Concepts

About the role

Original posting from Brillio 2 via Lever

Lead Engineer

Job requirements:

  • Strong proficiency in Python 3.x, Data structures, algorithms, and OOP concepts, Writing clean, modular, and reusable code, Exception handling and logging, Virtual environments (venv, poetry, pipenv), RESTful API design and implementation, File handling (CSV, JSON, XML) OpenAI APIs (Chat Completions, Assistants, Embeddings), Prompt engineering & prompt optimization, Function calling & tool integration, RAG (Retrieval-Augmented Generation) patterns, Token management, rate limits, cost optimization, Fine-tuning concepts (where applicable)
  • Strong proficiency in Python 3.x, Data structures, algorithms, and OOP concepts, Writing clean, modular, and reusable code, Exception handling and logging, Virtual environments (venv, poetry, pipenv), RESTful API design and implementation, File handling (CSV, JSON, XML) OpenAI APIs (Chat Completions, Assistants, Embeddings), Prompt engineering & prompt optimization, Function calling & tool integration, RAG (Retrieval-Augmented Generation) patterns, Token management, rate limits, cost optimization, Fine-tuning concepts (where applicable)
  • Strong proficiency in Python 3.x, Data structures, algorithms, and OOP concepts, Writing clean, modular, and reusable code, Exception handling and logging, Virtual environments (venv, poetry, pipenv), RESTful API design and implementation, File handling (CSV, JSON, XML) OpenAI APIs (Chat Completions, Assistants, Embeddings), Prompt engineering & prompt optimization, Function calling & tool integration, RAG (Retrieval-Augmented Generation) patterns, Token management, rate limits, cost optimization, Fine-tuning concepts (where applicable)
  • Strong proficiency in Python 3.x, Data structures, algorithms, and OOP concepts, Writing clean, modular, and reusable code, Exception handling and logging, Virtual environments (venv, poetry, pipenv), RESTful API design and implementation, File handling (CSV, JSON, XML) OpenAI APIs (Chat Completions, Assistants, Embeddings), Prompt engineering & prompt optimization, Function calling & tool integration, RAG (Retrieval-Augmented Generation) patterns, Token management, rate limits, cost optimization, Fine-tuning concepts (where applicable)

Source: Brillio 2 careers (Lever)

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