Forward AI Engineer - Agentic AI

Design, build, and deploy production-grade AI/ML systems with strong emphasis on Generative AI and LLM-powered applications

Develop and optimize end-to-end LLM pipelines including RAG architectures, fine-tuning, prompt orchestration, evaluation, and observability

Build scalable backend services and APIs for AI applications using modern engineering best practices

Implement and productionize transformer-based models and GenAI workflows for enterprise use cases

Design vector search systems, embedding pipelines, and retrieval frameworks for knowledge-intensive applications

Partner closely with Product, Engineering, and Business teams to translate operational challenges into scalable AI solutions

Drive experimentation, benchmarking, model evaluation, and performance optimization with scientific rigor

Improve inference efficiency, latency optimization, cost management, and reliability of deployed AI systems

Establish guardrails, hallucination detection, monitoring, and responsible AI practices for production deployments

Contribute to MLOps workflows including CI/CD, model lifecycle management, observability, and cloud deployment

Stay current with the latest advancements in LLMs, agentic systems, foundation models, and applied AI engineering

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field

Hands-on industry experience in AI Engineering, Machine Learning Engineering, Applied AI, or related roles

Strong experience building and deploying LLM / SLM -based applications in production environments

Solid expertise with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar

Strong understanding of transformer architectures, LLM/ SLM fine-tuning, prompt engineering, RAG systems, and vector databases

Experience building scalable APIs and backend systems supporting AI workflows

Familiarity with cloud platforms such as AWS, GCP, or Azure

Strong software engineering fundamentals including system design, debugging, performance optimization, and production reliability

Experience with containerization, deployment pipelines, and collaborative engineering environments

Strong analytical thinking, ownership mindset, and ability to work in ambiguous, fast-moving startup environments

Strong communication skills and ability to work cross-functionally with technical and business stakeholder

As part of the interview process, you will be asked to complete a technical assessment.

Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.

Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.