Logo for ICONMA

FSE Senior AI Engineer

ICONMA

Roles & Responsibilities

  • 5+ years of professional experience in full stack software development
  • Strong proficiency in React and modern JavaScript / TypeScript frameworks
  • Experience deploying and operating applications on AWS
  • Bachelor’s degree in computer science, Engineering, or equivalent practical experience

Requirements:

  • Lead spec-first development initiatives using GitHub Spec Kit
  • Design and build full stack web applications using React, JavaScript/TypeScript frameworks, and Node.js
  • Develop, integrate, and maintain RESTful and GraphQL APIs
  • Architect and deploy cloud-native solutions on AWS with a focus on scalability and cost efficiency

Job description

Our Client, an IT Services and Consultant company, is looking for a FSE Senior AI Engineer for their Atlanta, GA/Remote location.
 
Responsibilities:
  • Lead spec-first development initiatives using GitHub Spec Kit — authoring specs, technical plans, and agent-ready task breakdowns before writing any code.
  • Design and build full stack web applications using React, JavaScript/TypeScript frameworks, and Node.js, from UI to backend API layer.
  • Develop, integrate, and maintain RESTful and GraphQL APIs, ensuring performance, reliability, and security across services.
  • Architect and deploy cloud-native solutions on AWS (Lambda, EC2, S3, API Gateway, RDS, CloudFormation) with a focus on scalability and cost efficiency.
  • Build and integrate AI-powered features — leveraging LLMs, AI agents, prompt engineering, and the GenAI ecosystem to enhance product capabilities.
  • Design and manage relational (PostgreSQL) and document (MongoDB) databases, including schema design, query optimization, and data migrations.
  • Collaborate with product managers, designers, and AI/ML engineers to translate requirements into well-specified, shippable software.
  • Participate in code reviews, establish engineering best practices, and contribute ta culture of quality and continuous improvement.
 
Requirements:
  • 5+ years of professional experience in full stack software development.
  • Proven hands-on experience with GenAI tools and a spec-first development approach, including GitHub Spec Kit or equivalent workflows.
  • Strong proficiency in React and modern JavaScript / TypeScript frameworks (Next.js, Vue, or similar).
  • Solid backend development skills with Node.js — building and maintaining production REST or GraphQL APIs.
  • Experience deploying and operating applications on AWS — comfortable with core services such as Lambda, EC2, S3, API Gateway, and RDS.
  • Practical experience with both MongoDB (document store) and PostgreSQL (relational), including schema design and query tuning.
  • Familiarity with AI agent frameworks, LLM APIs (OpenAI, Anthropic, or similar), and prompt engineering techniques.
  • Strong understanding of software engineering fundamentals — data structures, system design, testing, and CI/CD practices.
  • Bachelor’s degree in computer science, Engineering, or equivalent practical experience.
  • Required Technical Expertise:
  • Supervised Learning:
  • Linear regression and logistic regression,
  • Decision trees, Random Forest, Gradient Boosting (XGBoost, LightGBM, CatBoost),
  • Support Vector Machines (SVMs) and kernel methods,
  • Neural networks — CNNs, RNNs, LSTMs, and Transformers,
  • Classification, regression, and ranking problems,
  • Cross-validation, bias-variance trade-off, regularization (L1/L2, dropout)
  • Unsupervised Learning:
  • Clustering: K-Means, DBSCAN, Gaussian Mixture Models, hierarchical clustering
  • Dimensionality reduction: PCA, t-SNE, UMAP
  • Autoencoders and variational autoencoders (VAEs)
  • Anomaly detection and outlier identification
  • Association rule mining (Apriori, FP-Growth)
  • Topic modelling (LDA, NMF)
  • Reinforcement Learning:
  • Markov Decision Processes (MDPs) states, actions, rewards, transitions
  • Model-free methods: Q-Learning, SARSA, Deep Q-Networks (DQN)
  • Policy gradient methods: REINFORCE, PPO, A3C / A2C
  • Actor-Critic architectures
  • Multi-armed bandits and contextual bandits
  • Reward shaping, environment design, and simulation frameworks (OpenAI Gym)
  • Relevant learning algorithms - Adjacent & advanced techniques:
  • Transfer learning and fine-tuning of pre-trained models
  • Semi-supervised and self-supervised learning
  • Active learning and human-in-the-loop pipelines
  • Federated learning for privacy-preserving training
  • Bayesian optimization and hyperparameter tuning (Optuna, Ray Tune)
  • Ensemble methods, stacking, and model blending
  • Graph Neural Networks (GNNs) a plus
  • Causal inference and counterfactual reasoning — a plus
  • Good to Have:
  • Experience with GitHub Copilot, Cursor, or other AI-assisted coding environments in day-to-day development.
  • Familiarity with containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, AWS CDK).
  • Exposure to vector databases (Pinecone, pgvector) or RAG (Retrieval-Augmented Generation) pipelines.
  • Knowledge of event-driven architecture using AWS SQS, SNS, or Event Bridge.
  • Experience with LangChain, LlamaIndex, or similar AI orchestration frameworks.
  • Contributions to open-source projects or a portfolio of AI-integrated applications.
  • Familiarity with observability tools — Data Dog, CloudWatch, or Splunk — for monitoring AI and API workloads.
  • Years of Experience:  
  • 10.00 Years of Experience
 
Why Should You Apply?
Ready to apply?
APPLY
·

Artificial Intelligence Engineer Related jobs

Georgia (USA)Artificial Intelligence Engineer

Other jobs at ICONMA

We help you get seen. Not ignored.

We help you get seen faster — by the right people.

🚀

Auto-Apply

We apply for you — automatically and instantly.

Save time, skip forms, and stay on top of every opportunity. Because you can't get seen if you're not in the race.

✨

AI Match Feedback

Know your real match before you apply.

Get a detailed AI assessment of your profile against each job posting. Because getting seen starts with passing the filters.

Upgrade to Premium. Apply smarter and get noticed.

Upgrade to Premium

Join thousands of professionals who got noticed and hired faster.