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Senior Ai Developer Jobs (NOW HIRING)

myDNA, Inc.

Senior AI Developer

Houston, TX · On-site

$52 - $68.75/hr

Position Overview We are seeking a Senior AI Developer to join our engineering team. In this senior role you will help shape and execute our AI/ML strategy, guiding our journey from early generative ...

Kaleris

Sr AI Developer

Alpharetta, GA · On-site

$51.75 - $68.50/hr

Kaleris is seeking a Sr. AI Developer who approaches every challenge with an AI-first mindset. This role involves driving enterprise application modernization by designing, building, and ...

Kaleris

Sr AI Developer

Alpharetta, GA · On-site

$53.25 - $70.25/hr

About the Role We are seeking an Sr. AI Developer who approaches every challenge with an AI-first mindset. As a senior-level member of our IT AI team, you will drive enterprise application ...

Guru Schools

Sr.AI Developer

Northbrook, IL · On-site

$55.25 - $73/hr

AI Developer Position Responsibilities Local Candidate Only Senior Developer - AI Chatbot / AI Agent Job Summary Responsible for designing, developing, and implementing AI-powered chatbot and AI ...

RealPage, Inc.

Sr. AI Developer

Richardson, TX · On-site +1

$116K - $156K/yr

We are seeking a Lead AI Engineer who is a senior technical leader responsible for driving the strategy, architecture, and delivery of Agentic and Generative AI solutions across our PropTech ...

RealPage, Inc.

Sr. AI Developer

Richardson, TX · On-site +1

$116K - $156K/yr

We are seeking a Lead AI Engineer who is a senior technical leader responsible for driving the strategy, architecture, and delivery of Agentic and Generative AI solutions across our PropTech ...

RealPage, Inc.

Sr. AI Developer

Richardson, TX · On-site +1

$125K - $213K/yr

We are seeking a Lead AI Engineer who is a senior technical leader responsible for driving the strategy, architecture, and delivery of Agentic and Generative AI solutions across our PropTech ...

Cicero Group

Senior AI Developer

Salt Lake City, UT · On-site +1

$52.75 - $69.75/hr

About the Role MGT is hiring a Senior AI Developer to join our AI Operating Group (AI OG). The AI OG is responsible for both internal AI tool development and client-facing AI solution delivery ...

RealPage, Inc.

Sr. AI Developer

Richardson, TX · On-site

$116K - $156K/yr

We are seeking a Lead AI Engineer who is a senior technical leader responsible for driving the strategy, architecture, and delivery of Agentic and Generative AI solutions across our PropTech ...

BlackLine

Senior AI Developer

Pleasanton, CA · On-site

$60.25 - $79.50/hr

As a Senior AI Developer on BlackLine's Corporate AI team, you will play a pivotal role in bringing AI to every corner of the company. You'll design and deliver enterprise-grade AI agents that ...

EBizCharge

Senior AI Developer

$124K - $167K/yr

Summary As a Senior AI Developer, you will design, develop, and maintain secure and scalable Model Context Protocol (MCP) Servers that expose external capabilities to AI assistants. You will create ...

SAP SuccessFactors

Senior AI Developer

Palo Alto, CA · On-site

$62.50 - $82.75/hr

As a Senior AI Developer on this team you will be responsible for helping to design and implement a variety of projects around the GenAI space The Role: Work closely with our lead architect to craft ...

Arcfield

Senior AI Developer

Dahlgren, VA · On-site

$55.50 - $73.50/hr

Responsibilities The AI Developer will be part of a team of experts charged with providing support ... As a Senior Developer on this program, you will be tasked with implementing new features within a ...

iCatalyst Inc

Sr. AI Developer

Mclean, VA · On-site

$55 - $72.75/hr

We have an exciting opportunity for a Senior AI Developer to join our team on a project. We offer a comprehensive benefits package to include medical, dental, short-term disability insurance, life ...

BlackLine

Senior AI Developer

Pleasanton, CA

$130K - $163K/yr

Qualifications * 3+ years of Senior-level software development experience, including at least2+ years focused on AI development in an enterprise environment. * Strong programming skills in one or ...

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Senior Ai Developer information

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$15

$61

$87

How much do senior ai developer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for senior ai developer in the United States is $61.73, according to ZipRecruiter salary data. Most workers in this role earn between $52.40 and $69.23 per hour, depending on experience, location, and employer.

What is the difference between Senior Ai Developer vs Machine Learning Engineer?

AspectSenior Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models, algorithms, and applications; collaborates with data scientists and engineersDesigns, builds, and deploys machine learning models; often works in data-heavy environments
Employer & Industry UsageTech companies, research labs, AI-focused firmsTech companies, startups, data-driven industries

While both roles involve working with AI and machine learning, Senior Ai Developers focus more on creating and optimizing AI systems, whereas Machine Learning Engineers specialize in building scalable ML models and pipelines. The roles often overlap, but the Senior Ai Developer emphasizes AI application development, and the Machine Learning Engineer emphasizes deployment and data handling.

What are the key skills and qualifications needed to thrive as a Senior AI Developer, and why are they important?

To thrive as a Senior AI Developer, you need advanced skills in machine learning, deep learning, programming (Python, R, or Java), and a strong background in computer science or related fields, often supported by a bachelor's or master's degree. Expertise in frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms (AWS, Azure, or GCP) and relevant certifications are highly valued. Strong problem-solving, leadership, and effective communication skills help in collaborating across teams and translating complex technical concepts into business solutions. These capabilities are crucial for designing robust AI systems, driving innovation, and ensuring successful deployment in real-world applications.

What are Senior AI Developers?

Senior AI Developers are experienced professionals who design, build, and implement artificial intelligence systems and solutions. They typically lead AI projects, mentor junior team members, and work on complex problems involving machine learning, deep learning, and data analysis. Their responsibilities also include collaborating with stakeholders, optimizing models for performance, and ensuring AI solutions align with business goals. Senior AI Developers usually have advanced knowledge of programming languages, frameworks, and best practices in AI development.

What are some common challenges faced by Senior AI Developers when deploying models into production environments?

Senior AI Developers often encounter challenges such as ensuring model scalability and reliability, handling data drift, and integrating models with existing production systems. Balancing model performance with computational efficiency is crucial, as is maintaining compliance with data privacy regulations. Close collaboration with DevOps, data engineering, and product teams is essential to address these challenges and deliver robust, maintainable AI solutions.
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Senior Ai Developer jobs near you

Senior AI Developer

myDNA, Inc.

Houston, TX • On-site

$52 - $68.75/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description

Our Purpose
Our mission is to build a healthier and more connected world with precision health and genealogy services.
We empower individuals with actionable insights into their genetic makeup, fostering a deeper understanding of their ancestry, health, and wellness. By integrating the experience of Gene by Gene Laboratory Services, FamilyTreeDNA genealogy, and myDNA reporting services, we strive to deliver cutting-edge genetic testing and personalized solutions that inspire informed decisions and enhance quality of life. Our team is dedicated to advancing the field of genomics through innovation, research, and a commitment to excellence.
Our Values
All employees are expected to demonstrate our values of Innovate, One Team, and Integrity when carrying out the accountabilities and responsibilities of their role. This how we show up every day for ourselves, our colleagues and our customers and strategic partners to deliver our vision and strategic goals.
Position Overview
We are seeking a Senior AI Developer to join our engineering team. In this senior role you will help shape and execute our AI/ML strategy, guiding our journey from early generative-AI capabilities into a mature, production-grade AI practice. You will integrate generative-AI features into our products and internal platforms, combine retrieval-augmented generation (RAG) with knowledge graphs to ground model outputs in our domain data, and own AI features end-to-end - model selection, prompt engineering, retrieval, fine-tuning where appropriate, deployment, observability, cost governance, and compliance posture. As a senior individual contributor, you will also provide architectural direction and code-level guidance to existing engineering teams who own day-to-day delivery of supporting backend and data-layer work.
Accountabilities and Responsibilities
  • Helps set technical direction for AI/ML - evaluates models, frameworks, vector stores, graph databases, evaluation tooling, and orchestration patterns; makes recommendations and leads adoption.
  • Designs and implements production generative-AI features using managed foundation-model services, applying guardrails, contextual grounding, structured output, tool use, and agentic workflow patterns.
  • Builds retrieval-augmented generation (RAG) pipelines - document ingestion, chunking, embeddings, vector search, hybrid retrieval, and reranking - selecting the storage approach that best fits each use case.
  • Designs and operates knowledge graphs to model the domain - schema and ontology design, entity resolution, relationship extraction, and integration with LLM workflows (GraphRAG, hybrid graph + vector retrieval).
  • Trains and fine-tunes models where it produces measurable lift, including dataset preparation, supervised and parameter-efficient fine-tuning, baseline evaluation, and deployment.
  • Provides architectural direction and code-level guidance to existing .NET and SQL engineering teams responsible for backend services and data-layer integration with AI features.
  • Defines and enforces LLMOps / MLOps practices: prompt and model versioning, evaluation harnesses, regression testing, latency and cost SLOs, and reproducible training pipelines.
  • Implements observability for AI systems and makes the data actionable across token usage, latency, hallucination and refusal rates, contextual-grounding faithfulness, cost-per-request, and quality metrics.
  • Builds and operates AI systems for audit-readiness - data lineage, prompt and model version traceability, decision logging, access controls, and evidence collection.
  • Mentors fellow engineers, leads code review, contributes to architecture decision records, and helps shape the team's AI engineering standards.
  • Partners with security and compliance to ensure AI systems meet data privacy, PII handling, prompt injection defense, and responsible-AI requirements throughout the model lifecycle.

Position Requirements
  • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
  • 10+ years of professional software engineering experience.
  • 2+ years building production AI/LLM features on a managed foundation-model platform.
  • Demonstrable experience training and/or fine-tuning models - supervised fine-tuning, parameter-efficient fine-tuning (LoRA, QLoRA), or classical ML - including dataset preparation, evaluation, and deployment.
  • Production experience with knowledge graphs - schema and ontology design, a graph database, and at least one graph query language (Cypher, SPARQL, or Gremlin).
  • Demonstrable production experience in regulated environments. Compliance is a hard requirement for this role.
  • 3+ years of production cloud experience including at least one managed AI service.
  • Solid grounding in prompt engineering, RAG, embeddings, vector search, guardrails, contextual grounding, and LLM evaluation methodology.
  • Ability to provide architectural direction and technical guidance to existing engineering teams; senior IC influence rather than line management.
  • Strong testing discipline - unit, integration, and contract testing, plus AI-specific evaluation harnesses.
  • Excellent written and verbal communication; ability to explain AI tradeoffs to non-technical, legal, and compliance stakeholders.

Compliance, Governance & Technologies
This role operates in a regulated environment. The Senior AI Developer is expected to understand how regulatory obligations apply to AI/ML systems specifically - training data, PII handling, model output controls, audit logging, evidence retention, and the limits regulation places on third-party model usage - and to produce the operational evidence that carries our AI capabilities through audits. Beyond these foundational compliance capabilities, we are seeking a developer with strong technical versatility across modern AI environments. Highly valued qualifications include:
  • Hands-on experience with managed AI services across major cloud providers - for example Amazon Bedrock, Amazon SageMaker, Google Vertex AI, or Azure AI Foundry - is a plus. Familiarity across more than one provider is preferred.
  • Production C# / .NET experience with ASP.NET Core and Entity Framework Core.
  • Production SQL experience on Microsoft SQL Server and PostgreSQL - schema design, query tuning, indexing, and performance troubleshooting.
  • Comfort working with on-premises database infrastructure and hybrid (on-prem / cloud) data architectures.
  • Python proficiency for ML workflows.
  • Production Infrastructure-as-Code experience (Terraform, CDK, CloudFormation, or Pulumi).
  • Experience designing and consuming REST APIs, including modern authentication patterns (OAuth 2.0, OIDC, JWT).
  • Broader machine learning experience: classical/predictive ML, deep learning frameworks, or experience with managed training platforms.
  • GraphRAG patterns, entity resolution, and automated knowledge-graph construction from unstructured sources.
  • Responsible-AI practices - bias evaluation, red-teaming, OWASP Top 10 for LLMs, prompt injection defense, NIST AI RMF, ISO/IEC 42001.
  • Container experience (Docker, Kubernetes) and event-driven architecture experience.
  • Experience supporting third-party audits - evidence collection and auditor-facing documentation.
  • Open-source contributions, technical writing, conference talks, or research publications in AI/ML are a strong plus.
  • Advanced degree (MS or PhD) in CS, ML, Statistics, or a related quantitative field is preferred.

Why Join Us
At Gene by Gene, you'll join a mission-driven team advancing the science of genetics and discovery. You'll have the opportunity to shape meaningful campaigns, tell compelling brand stories, and collaborate with talented professionals who share your passion for creativity, curiosity, and impact.
Comprehensive Benefits
  • Medical & Health Savings: Choice of 3 medical tiers generously sponsored by the company, with a monthly $50-$100 employer HSA contribution based on plan type and dependent level.
  • 100% Covered Dental & Vision: No premium costs for employees or dependents.
  • 401(k) Matching: Generous 50% company match up to 6% of annual base salary.
  • Diverse PTO Framework: Structured time off incorporating vacation, sick leave, mental health days, personal days, company holidays, and a flexible floating holiday.
  • Income Protection & Family Leave: Full company sponsorship of Short-Term and Long-Term Disability (STD/LTD) alongside Paid Family Leave offerings.

Apply