Senior AI Engineer/Team Lead

3 Months ago • All levels

Research Development

Job Description

We are looking for a Senior AI Engineer who will be responsible for developing and deploying scalable AI-powered systems and agentic workflows. This role requires a blend of AI expertise and software engineering skills to achieve business objectives. Key responsibilities include working with programming languages like Python and C#/.NET, cloud platforms (AWS/Azure), and infrastructure as code tools (Terraform). The engineer will also focus on AI and LLM operations, utilizing models like OpenAI GPT-4 and Anthropic Claude, frameworks like LangChain/LangGraph and AutoGen, and implementing techniques such as prompt engineering, model fine-tuning, and agentic workflow orchestration. Experience with data systems including SQL Server/PostgreSQL and vector databases, along with platform skills in RESTful APIs, CI/CD, MLOps, and Docker, is essential. Proficiency in operations such as monitoring, logging, debugging, and systems optimization is also required.

Good To Have:

Anthropic Claude
Cost monitoring & FinOps
API rate limiting
Real-time data processing

Must Have:

Python, Pydantic, C#/.NET 6+
Cloud platforms (AWS/Azure)
Git/GitHub, Terraform
OpenAI GPT-4, LangChain/LangGraph
AutoGen, prompt engineering
Model fine-tuning, agentic workflows
SQL Server/PostgreSQL, vector databases
RESTful APIs, CI/CD, MLOps
Docker, monitoring, logging, debugging

Add these skills to join the top 1% applicants for this job

problem-solving

github

postgresql

aws

azure

terraform

ci-cd

docker

git

python

sql

We are seeking an exceptional Senior AI Engineer to join our team. Title determined based on the applicants experience and capabilities and qualifications. This role combines deep technical AI expertise with practical software engineering, focusing on delivering scalable AI-powered systems and agentic workflows that drive measurable business outcomes.

Required Technical Skills

Programming & Infrastructure: Python, Pydantic, C#/.NET 6+, Cloud platforms (AWS/Azure), Git/GitHub), infrastructure as code (Terraform)

AI & LLM Operations: OpenAI GPT-4, Anthropic Claude, LangChain/LangGraph, AutoGen, token optimization, prompt engineering, model fine-tuning, agentic workflow orchestration, cost monitoring & FinOps, API rate limiting

Data Systems: SQL Server/PostgreSQL, vector databases, real-time data processing

Platform: RESTful APIs, CI/CD, MLOps, Docker or similar

Operations: Monitoring, logging, debugging, and systems optimization

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