Job ID: JOB_ID_1406
Role Overview: AI ML Support Engineer (Remote)
As we move into 2026, the landscape of Artificial Intelligence and Machine Learning has shifted from experimental models to mission-critical enterprise infrastructure. We are seeking a highly skilled AI ML Support Engineer to join our dynamic team in a 100% remote capacity. This role is pivotal in ensuring the reliability, performance, and scalability of our advanced AI systems, specifically focusing on Large Language Models (LLMs) and agentic workflows.
Key Responsibilities and Technical Focus
- Provide high-level technical support for AI/ML production environments, ensuring 99.9% uptime for critical inference services.
- Optimize Retrieval-Augmented Generation (RAG) pipelines to reduce latency and improve the accuracy of context-aware responses.
- Manage and maintain vector databases including FAISS, Pinecone, and Chroma, ensuring efficient indexing and retrieval for high-dimensional data.
- Develop and refine agent-based workflows using frameworks like LangChain and LangGraph to automate complex multi-step reasoning tasks.
- Collaborate with DevOps and MLOps teams to deploy models via robust APIs, monitoring performance metrics and cost-efficiency.
- Conduct prompt engineering and fine-tuning of models to meet specific domain requirements and safety standards.
- Implement software engineering best practices, including version control (Git), CI/CD for ML, and comprehensive unit/integration testing.
The 2026 AI Landscape
In the current market, support is no longer just about troubleshooting; it is about proactive optimization. You will be working with cutting-edge scalable and secure AI architectures. Your expertise will help us navigate the challenges of model evaluation, performance tuning, and the ever-evolving cost-to-latency trade-offs inherent in modern LLM deployments. This position offers the opportunity to work at the forefront of the AI revolution, supporting systems that are redefining how businesses operate.
Required Qualifications
- Strong proficiency in Python and a deep understanding of AI/ML fundamentals.
- Hands-on experience with LLMs and the modern AI orchestration stack.
- Experience with vector database management and semantic search optimization.
- Knowledge of model evaluation techniques and fine-tuning methodologies.
- Understanding of scalable system design and secure AI deployment practices.
Special Requirements
100% Remote; requires expertise in LLMs and RAG pipelines.
Compensation & Location
Salary: $140,000 – $190,000 per year (Estimated)
Location: Remote
Recruiter / Company – Contact Information
Recruiter / Employer: Siri InfoSolutions Inc
Email: vishnu.m@siriinfoinc.com
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