Senior AI Engineer, AI Services

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AI Engineer, AI Services in United States.

This role is for a hands-on AI engineer responsible for designing, developing, and deploying enterprise-grade agentic AI solutions. You will work on multi-agent systems, workflow automation, and AI integration across business processes like document intelligence, coding automation, service desk, and decision support. The position offers exposure to cutting-edge AI technologies, collaboration with cross-functional teams, and direct client engagement. You will have the opportunity to shape scalable, production-ready AI solutions, influence internal engineering standards, and contribute to the growth of an innovative AI services practice. This is a client-facing, fast-paced environment requiring both technical expertise and strategic thinking.

• Design, build, and deploy multi-agent AI systems using frameworks such as LangChain, LangGraph, Autogen, CrewAI, and LlamaIndex.
• Develop custom agents for document processing, workflow automation, and business process orchestration.
• Integrate LLMs, SLMs, embeddings, and retrieval pipelines (Pinecone, Elasticsearch, Snowflake Cortex, pgvector).
• Build and operate production-grade AI pipelines, memory/state stores, and event-driven triggers.
• Implement robust data transformations, validation, and versioning for downstream workflows.
• Connect agents to enterprise systems including SharePoint, Salesforce, ServiceNow, Jira, Oracle, APIs, and databases.
• Embed monitoring, observability, and guardrails for multi-agent systems, including automated testing and incident reviews.
• Collaborate with clients, solution managers, and engineers to translate business needs into scalable AI solutions.
• Contribute to documentation, architecture diagrams, proposals, and client-facing materials.
• Mentor junior engineers and develop internal best practices, reusable components, and reference architectures.

• Strong Python engineering skills, including async patterns, APIs, and event-driven design.
• Hands-on experience with multi-agent frameworks such as LangGraph, Autogen, CrewAI, or LangChain.
• Demonstrated experience building production ETL, orchestration, and workflow automation pipelines (Kafka, EventBridge, Airflow, Celery, n8n, AWS).
• Experience with vector databases and retrieval pipelines (Pinecone, pgvector, Elasticsearch, LlamaIndex).
• Familiarity with MLOps, observability, CI/CD, containerization, and model deployment patterns.
• Experience integrating AI solutions with enterprise systems or APIs in production.
• Strong documentation, communication, and collaboration skills in agile environments.
• Preferred: Experience with Snowflake Cortex, Databricks Mosaic, NVIDIA NIMs, operating agentic systems at scale, and client-facing or consulting environments.

• Competitive salary range: $230,000 – $300,000 per year (OTE including target bonus).
• Medical, dental, and vision insurance.
• 401(k) retirement plan.
• Paid time off, company holidays, and paid parental/caregiver leave.
• Access to top-tier AI lab equipment, certifications, and professional development opportunities.
• Inclusive, collaborative culture with diversity-focused initiatives.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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