Data Engineer AI LLM Lead

Company Description

MXICODERS INC is a company where innovation meets opportunity. Our mission is to empower businesses with cutting-edge digital capabilities, enabling growth in a rapidly evolving technological landscape. We specialize in transforming complexity into opportunity, fostering a culture of innovation and adaptability. Join us on this journey to redefine industry standards and turn visionary ideas into reality. Connect with us on LinkedIn to be a part of our community shaping the future.

Role Description

Data Engineer / AI/ML

Minimum Requirements

Essential Technical Skills

AI/ML (Required)

• 2+ years hands-on experience with LLM APIs (OpenAI, Anthropic, or similar)
• Production deployment of at least one AI system that&aposs currently running in production
• LLM framework experience with LangChain, CrewAI, or AutoGen (any one is sufficient)
• Function calling/tool use - ability to build AI systems that can call external APIs and functions
• Basic prompt engineering - understanding of techniques like Chain-of-Thought and ReAct patterns

Python Development (Required)

• 3+ years Python development with strong fundamentals
• API development using Flask or FastAPI with proper error handling
• Async programming - understanding of async/await patterns for concurrent operations
• Database integration - working with PostgreSQL, MySQL, or similar relational databases
• JSON/REST APIs - consuming and building REST services

Production Systems (Required)

• 2+ years building production software that serves real users
• Error handling and logging - building robust systems that handle failures gracefully
• Basic cloud deployment - experience with AWS, Azure, or GCP (any one platform)
• Git/version control - collaborative development using Git workflows
• Testing fundamentals - unit testing and integration testing practices

Business Process (Basic Required)

• User requirements - ability to translate business needs into technical solutions
• Data quality - recognizing and handling dirty/inconsistent data
• Exception handling - designing workflows for edge cases and errors

Professional Experience (Minimum)

Software Engineering

• 3+ years total software development experience
• 1+ production AI project - any AI/ML system deployed to production (even simple ones)
• Cross-functional collaboration - worked with non-technical stakeholders
• Problem-solving - demonstrated ability to debug and resolve complex technical issues

Communication & Collaboration

• Technical documentation - ability to write clear technical docs and code comments
• Stakeholder communication - explain technical concepts to business users
• Independent work - ability to work autonomously with minimal supervision
• Learning agility - quickly pick up new technologies and frameworks

Educational Background (Any One)

Formal Education

• Bachelor&aposs degree in Computer Science, Engineering, or related technical field
• OR equivalent experience - demonstrable technical skills through projects/work

Alternative Paths

• Coding bootcamp + 2+ years professional development experience
• Self-taught with strong portfolio of production projects
• Technical certifications (AWS, Google Cloud, etc.) + relevant experience [nice to have]

Demonstrable Skills (Portfolio Requirements)

Must Show Evidence Of

• One working AI application - GitHub repo or live demo of LLM integration
• Python projects - code samples showing API development and data processing
• Production deployment - any application currently running and serving users
• Problem-solving ability - examples of debugging complex issues or optimizing performance

Nice to Have (Not Required)

• Financial services or fintech experience
• Vector databases (Pinecone, Weaviate) experience
• Docker/containerization knowledge
• Advanced ML/AI education or certifications

Qualifications

• Strong understanding of Machine Learning, Deep Learning, and Natural Language Processing techniques
• Experience with programming languages such as Python, R, or similar languages
• Proficiency in frameworks like TensorFlow, PyTorch, or Keras
• Data preprocessing and analysis skills
• Strong problem-solving skills and ability to work in a collaborative environment
• Excellent written and verbal communication skills
• Experience in blockchain technology and applications is a plus
• Masters or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field