Sr. AI Engineer

Trident Consulting

Atlanta, GA

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JOB DETAILS

SALARY

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, Cloud Computing, Code Reviews, Computer Science, Consulting, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Data Analysis, Data Migration, Data Structures, Database Design, Database Technology, Docker, Ecosystems, Fortune 500 Customers, GitHub, GraphQL, Internet Application, Internet Security, JavaScript, JavaScript Frameworks, Kernel Programming, Leadership, 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, Technical Recruiting, Test Design, User Interface/Experience (UI/UX), Vue.js

LOCATION

Atlanta, GA

POSTED

2 days ago

Trident Consulting is seeking a " Sr.AI Engineer ” for one of our clients in "Atlanta, GA (Onsite) or Remote"

Job Title: Sr.AI Engineer
Location: Atlanta, GA (Onsite) or Remote
Length of Assignment: 1 year w/ extension
Type: Contract (W2)
Rate:$65/hr

Top 3 skills required for this role:
1. Hands-on experience with GitHub Spec Kit and spec-driven development using AI agents (/specify, /plan, /tasks workflow).
2. Production-grade applications built with React / JavaScript frameworks and Node.js REST/GraphQL APIs.
3. AWS infrastructure (Lambda, S3, EC2, API Gateway) paired with MongoDB and/or PostgreSQL at scale.

Job Description/ 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 optimisation, 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 to a culture of quality and continuous improvement.

Required Qualifications
• 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 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 architectures 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.

About Trident
Trident Consulting is a premier IT staffing firm providing high-impact workforce solutions to Fortune 500 and mid-market clients. Since 2005, we've specialized in sourcing elite technology and engineering talent for contract, direct hire, and managed services roles. Our expertise spans cloud, AI/ML, cybersecurity, and data analytics, supported by a 3M+ candidate database and a 78% fill ratio. With a highly engaged leadership team and a reputation for delivering hard-to-fill, niche talent, we help organizations build agile, high-performing teams that drive innovation and business success.

Some of our recent awards include:
Trailblazer Women Award 2025 by Consulate General of India in San Francisco Ranked as the #1 Women Owned Business Enterprise in the large category by ITServe. Received the TechServe Excellence award. Consistently ranked in the Inc. 5000 list of fastest-growing private companies in America Recognized in the SF Business Times as one of the Largest Bay Area BIPOC/Minority-Owned Businesses in 2022.

About the Company

Trident Consulting

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