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FSE Senior AI Engineer

Iconma

Atlanta, GA

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JOB DETAILS
SALARY
$57.14–$60.71 Per Hour
SKILLS
AWS Lambda, Algorithms, Amazon Elastic Compute Cloud (EC2), Amazon Simple Notification Service (SNS), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Bayesian Networks, Best Practices, Cloud Architecture, Code Reviews, Computer Science, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Data Migration, Data Structures, Database Design, Database Technology, Docker, Ecosystems, GitHub, GraphQL, Health Plan, Information Technology Consulting, Internet Application, JavaScript, JavaScript Frameworks, Kernel Programming, Markov Decision Process, MongoDB, Neural Networks, Node.js, Open Source, PostgreSQL, Preferred Provider Organization (PPO), Product Design, Protective Services, Query Optimization, REST (Representational State Transfer), React.js, Reinforcement Learning, Requirements Management, Simple Queue Service (SQS), Simulation, Software Development, Software Engineering, Splunk, Support Vector Machines, System Test, Test Design, User Interface/Experience (UI/UX), Vue.js
LOCATION
Atlanta, GA
POSTED
1 day ago
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?

About the Company

I

Iconma

ICONMA is a global information consulting management firm providing Professional Staffing Services and Project-Based Solutions for organizations in a broad range of industries.

  • Corporate Headquarters in Troy, Michigan; 20+ locations worldwide.
  • Certified Woman-Owned Business Enterprise (WBE); certified by Women’s Business Enterprise National Council, National Women Business Owners Corporation (NWBOC); and California Public Utilities Commission (CPUC).
  • Founded in 2000
  • 2000+ Employees

The company was founded on the principle that success is derived from delivering high quality service and resources in the most responsive, flexible, and innovative way. ICONMA invests in people and resources with a single goal: To provide our customers with the highest quality service in the most responsive manner. Through its network of offices, ICONMA provides the resources to help clients maintain their competitive advantage.

COMPANY SIZE
2,000 to 2,499 employees
INDUSTRY
Management Consulting Services
EMPLOYEE BENEFITS
401K, Employee Referral Program, Life Insurance
FOUNDED
2000
WEBSITE
https://www.iconma.com/

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