GenAI Engineer: Backend | LLMs & Cloud Solutions

D3vtechcloud

United States

Remoto

USD 120.000 - 190.000

Tempo pieno

6 giorni fa

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Descrizione del lavoro

D3vtechcloud is seeking an AI/ML engineer focused on generative and agentic AI. You will collaborate with senior engineers to design GenAI solutions on Google Cloud, assess client requirements, and prototype proofs of concept while staying ahead of evolving AI techniques.

You will apply strong backend skills (Python, Golang, Node.js) and leverage tools like LangChain and AI development suites to deliver scalable AI-enabled software. Join us to shape the future of AI-driven solutions.

Competenze

Bachelor's in Computer Science or equivalent degree.
2 to 4 years of experience.
Strong communication, analytical, and problem-solving skills.
Foundations in AI/ML concepts; personal project experience with AI/ML is advantageous.
Proficient in using AI developer tools to write clean backend code (Python, Golang, Node.js), generate unit tests, and refactor at speed.
Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or Semantic Kernel beyond basic prompt engineering.
Backend tech: Python, Golang, NodeJS.
Understanding of deep learning frameworks (TensorFlow, PyTorch).
Data manipulation libraries (pandas, NumPy).
Foundations in Data Structures, OOP, Databases, and System Design.
SQL, No-SQL, and Vector databases (pgvector, Pinecone, Qdrant).
Bonus: Google Cloud AI services like BigQuery ML, Vertex AI, Document AI.
Good understanding of microservices and RESTful API design.
Familiarity with Bitbucket or GitHub.

Mansioni

Collaborate with senior engineers to design GenAI solutions on Google Cloud for client projects.
Participate in pre-sales discovery calls to evaluate client challenges and AI readiness.
Assess client requirements and translate them into concrete AI system specs.
Design AI architecture blueprints (RAG, agentic workflows) and prototype POCs.
Explain GenAI concepts, trade-offs, cost models, and security considerations to technical and non-technical stakeholders.
Participate in testing, debugging, and optimization of GenAI applications.
Stay up-to-date on GenAI advancements and integrate into products.
Act in an Agile environment with team meetings and knowledge sharing.
Prioritize tasks and deliver with urgency.
Learn and apply coding best practices and take initiative.
Seek feedback and document work clearly for collaboration.