Artificial Intelligence Developer

Signature IT World Inc; Boston (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

Signature IT World Inc. seeks an experienced AI Engineer with 8+ years to design, develop, and deploy scalable AI/ML solutions for enterprise applications in Boston, MA. You will lead Generative AI, LLM-based initiatives, NLP, and deep learning projects.

Collaborate with data scientists, architects, and engineers to implement AI strategies, ensure governance, and deliver production‑grade ML systems with MLOps, CI/CD, and robust monitoring.

Qualifications

• 8+ years of AI/ ML design, development and deployment experience.
• Experience with Generative AI, LLMs, NLP, and cloud platforms.

Responsibilities

• Design, develop, and deploy AI/ML solutions for enterprise applications.
• Build Generative AI and LLM-based apps using modern AI frameworks.
• Develop NLP, deep learning, and recommendation systems.
• Integrate models into production via APIs/microservices.
• Work with large datasets for model training and evaluation.
• Implement MLOps, CI/CD, monitoring, and tuning.
• Collaborate with stakeholders to define AI strategy and architecture.
• Ensure scalability, security, governance, and ethical AI compliance.
• Conduct PoCs and evaluate new AI technologies.

Skills

Python

TensorFlow

PyTorch

NLP libraries

LLMs

Cloud platforms

Docker

Kubernetes

REST APIs

MLOps

Education

Bachelor's or Master's in CS/AI/Data Science

Tools

MLflow

Kubeflow

SageMaker

LangChain

Job description

AI Engineer/Developer - Boston, MA (8+ Years Experience)

Job Title: AI Engineer

Experience Required: 8+ Years

Job Summary

We are seeking an experienced AI Engineer with 8+ years of experience in designing, developing, and deploying scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate should possess strong expertise in Generative AI, Large Language Models (LLMs), NLP, deep learning, and cloud-based AI platforms. This role requires close collaboration with business stakeholders, data scientists, architects, and engineering teams to build enterprise-grade AI solutions aligned with business objectives.

Key Responsibilities

• Design, develop, and deploy AI/ML solutions for enterprise applications.
• Build and optimize Generative AI and LLM-based applications using modern AI frameworks.
• Develop NLP, deep learning, predictive analytics, and recommendation systems.
• Integrate AI models into production environments using APIs and microservices.
• Work with large-scale structured and unstructured datasets for model training and evaluation.
• Implement MLOps practices including CI/CD pipelines, model monitoring, and performance tuning.
• Collaborate with cross-functional teams to define AI strategy and technical architecture.
• Ensure scalability, security, governance, and ethical AI compliance across solutions.
• Conduct Proof of Concepts (POCs) and evaluate emerging AI technologies.

Required Skills

• Strong experience in Python, TensorFlow, PyTorch, Scikit-learn, and NLP libraries.
• Hands‑on expertise with Generative AI, LLMs, LangChain, vector databases, and RAG architectures.
• Experience with cloud platforms such as AWS, Azure, or GCP AI services.
• Knowledge of ML model deployment, Docker, Kubernetes, and REST APIs.
• Experience with data engineering tools and big data technologies.
• Strong understanding of AI/ML algorithms, deep learning, and data modeling.
• Familiarity with MLOps tools such as MLflow, Kubeflow, or SageMaker.
• Excellent problem‑solving, communication, and stakeholder management skills.

Nice to Have

• Experience with AI governance and responsible AI frameworks.
• Exposure to multi‑agent AI systems and AI automation platforms.
• Certifications in AI/ML or cloud technologies.
• Experience working in Agile/Scrum environments.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.