Remote Production AI/ML Engineer for Business Impact

Syntas; United States; Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Fully remote work with flexible hours

Learning budget

Conference attendance budget

Home office setup stipend ($1,000)

401(k) with company match

Paid parental leave (12 weeks)

Unlimited PTO

Job summary

Syntas is seeking an experienced AI/ML Engineer to join our advisory practice, combining cutting‑edge AI with real‑world business transformation across industries. You will work directly with clients, architecting solutions, and building production systems that deliver measurable outcomes—from RAG knowledge systems to AI‑powered automation, with ownership and autonomy in a remote‑first setup.

The role emphasizes production‑ready AI, not just demos.

Qualifications

• 4+ years of software engineering with at least 2 years focused on AI/ML or LLM‑based systems.
• Production experience building and deploying LLM applications, not just prototypes or demos.
• Deep understanding of RAG architectures including chunking, embeddings, vector stores, and retrieval optimisation.
• Hands‑on experience with LangChain, LlamaIndex, or similar orchestration frameworks.
• Experience with at least one major cloud platform (AWS, GCP, or Azure) including serverless, containers, and managed services.
• Understanding of MLOps practices including CI/CD for ML, model versioning, and monitoring.
• Excellent written and verbal communication skills with non‑technical audiences.
• Self‑directed work style with ability to manage multiple projects remotely.
• Consultative mindset – keen to understand client problems and propose creative solutions.

Responsibilities

• Design, build, and deploy production AI/ML solutions for client engagements across industries.
• Architect and implement LLM‑based applications including chatbots, agents, workflows, and document processing systems.
• Build and optimise RAG pipelines with vector databases and embeddings.
• Develop robust integrations with AI APIs (OpenAI, Anthropic, Cohere) and open‑source models.
• Implement observability using Langfuse, LangSmith, or similar tools including tracing and evaluation.
• Create evaluation frameworks combining deterministic testing and human feedback loops.
• Design multi‑agent systems with state management and memory.
• Deploy and manage AI infrastructure on cloud platforms with CI/CD, monitoring, and scaling.
• Collaborate directly with clients to gather requirements and iterate solutions.

Skills

Software engineering

AI/ML development

LLM applications

RAG architectures

LangChain

Tools

LangChain

LlamaIndex

LangGraph

AutoGen

Ollama

vLLM

Job description

Syntas is seeking an experienced AI/ML Engineer to join our advisory practice, combining cutting‑edge AI with real‑world business transformation across industries. You will work directly with clients, architecting solutions, and building production systems that deliver measurable outcomes—from RAG knowledge systems to AI‑powered automation, with ownership and autonomy in a remote‑first setup.

The role emphasizes production‑ready AI, not just demos.