AI/ML Engineer

Synergis; Atlanta (GA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401k

Commuter benefits

Disability insurance

Life insurance

401k

Commuter benefits

Job summary

A leading workforce solutions partner in Atlanta is seeking an experienced AI Engineer to design and build scalable AI components and lead development of multi-agent systems. The ideal candidate has over 5 years in AI/ML engineering with strong Python skills. This full-time role offers medical, dental, vision benefits among others and requires on-site presence four days a week.

Qualifications

• 5+ years in AI/ML engineering or applied machine learning.
• Experience building production-grade AI systems, preferably in Azure.
• Familiarity with multi-agent architectures or orchestration frameworks preferred.
• Strong Python skills; experience with LLMs, RAG, and agent frameworks.
• Familiarity with Azure ML, Databricks, and MLflow.
• Experience with NLP, speech-to-text, and document intelligence.
• Proficiency in SQL and big data tools (Spark, Kafka).
• Designing multi-agent architectures or orchestration frameworks (preferred).
• Familiarity with LangChain, OpenAI APIs, or similar LLM tooling (preferred).
• Experience designing front-end GUIs for chat interfaces (preferred).
• Certifications in Azure AI or ML engineering (preferred).
• Experience in multi-business or federated enterprise environments (preferred).
• Agile development experience and iterative delivery (preferred).

Responsibilities

• Design and build modular, reusable AI components.
• Lead development of scalable RAG-based solutions.
• Develop transcription and NLP pipelines.
• Develop transcription and NLP pipelines for customer interaction analysis.
• Build and fine-tune models using PyTorch, Transformers, or LangChain.
• Package models for deployment in Azure ML for scalability.
• Integrate with Databricks for data ingestion and feature engineering.
• Collaborate with MLOps, DevOps, and data engineering teams on infra.
• Contribute to shared libraries, APIs, and templates for AI delivery.
• Provide technical guidance to teams adopting reusable AI components.
• Ensure AI products meet security and compliance standards.
• Implement monitoring for model performance, data drift, and usage.

Skills

Python

AI/ML engineering

NLP

SQL

Big Data tools (Spark, Kafka)

ML engineering

Education

Bachelor’s or Master’s in Computer Science, AI, Data Science

Tools

Azure ML

Databricks

MLflow

PyTorch

Transformers

LangChain

Kafka

Job description

LOCATION: Midtown Atlanta, GA (4 days per week onsite)

ANTICIPATED DURATION: 12+ Month W2 Contract

Responsibilities

• Design and build modular, reusable AI components that can be scaled across business units
• Lead development of scalable RAG-based solutions for document comparison (e.g., contracts vs. invoices)
• Engineer multi-agent systems for intelligent task coordination and decision support
• Develop transcription and NLP pipelines for customer interaction analysis
• Build and fine-tune models using frameworks like PyTorch, Transformers, or LangChain
• Package models for deployment in Azure ML, ensuring scalability and maintainability
• Integrate with Databricks for data ingestion, feature engineering, and experimentation
• Work closely with MLOps, DevOps, and data engineering teams to align on infrastructure and deployment patterns
• Contribute to shared libraries, APIs, and templates that accelerate AI product delivery
• Provide technical guidance to teams adopting reusable AI components
• Ensure AI products meet enterprise-grade security and compliance standards
• Implement monitoring for model performance, data drift, and usage metrics

Qualifications

• Bachelor’s or Master’s in Computer Science, AI, Data Science, or related field
• 5+ years in AI/ML engineering or applied machine learning
• Experience building production-grade AI systems in cloud environments (Azure preferred)
• Strong Python skills; experience with LLMs, RAG, and agent frameworks
• Familiarity with Azure ML, Databricks, and MLflow
• Experience with NLP, speech-to-text, and document intelligence
• Proficiency in SQL and big data tools (Spark, Kafka)
• Designing multi-agent architectures or orchestration frameworks (preferred)
• Familiarity with LangChain, OpenAI APIs, or similar LLM tooling (preferred)
• Experience designing front-end GUIs for chat interfaces (preferred)
• Certifications in Azure AI or ML engineering (preferred)
• Experience in multi-business or federated enterprise environments (preferred)
• Agile development experience and comfort with iterative delivery (preferred)

The hourly pay range for this position is dependent on factors including but not limited to client requirements, experience, statutory considerations, and location. Benefits available to full-time employees: medical, dental, vision, disability, life insurance, 401k and commuter benefits.

Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

For immediate consideration, please forward your resume to [e-mail].

If you require assistance or an accommodation in the application or employment process, please contact us at [e-mail].

Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at www.synergishr.com.