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Agentic Developers Jobs in Spring, TX (NOW HIRING)

INSPYR Solutions

Senior AI Agentic Engineer

Spring, TX · On-site

$93K - $127K/yr

Senior AI Agentic Engineer The Senior AI Agentic Engineer designs, builds, and operationalizes intelligent agent systems that automate complex enterprise business processes end-to-end. This role ...

Fervo Energy

Agentic AI Engineer

Houston, TX

The Agentic AI Engineer , within the Data & AI team, designs and ships agentic workflows that turn unstructured knowledge and structured operational data into autonomous capabilities for engineers ...

Fervo Energy Company

Agentic AI Engineer

Houston, TX · On-site

The Agentic AI Engineer , within the Data & AI team, designs and ships agentic workflows that turn unstructured knowledge and structured operational data into autonomous capabilities for engineers ...

Deloitte

Agentic Engineering Manager

Houston, TX · On-site

Work You'll Do As an Agentic Engineering Manager, you will operate as a value-stream leader who ensures business value flows from ideation to customer delivery by orchestrating work intake ...

Quest Global

Agentic AI Engineer

Conroe, TX

$100K - $120K/yr

... agentic systems and autonomous workflows. Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent orchestration frameworks (e.g., LangGraph or equivalent)

Quest Global

Agentic AI Engineer

Conroe, TX

$100K - $120K/yr

... agentic systems and autonomous workflows. • Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent orchestration frameworks (e.g., LangGraph or equivalent ...

Quest Global

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

... agentic systems and autonomous workflows. • Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent orchestration frameworks (e.g., LangGraph or equivalent ...

Deloitte

Agentic Capability Engineer

Houston, TX

Work You'll Do As an Agentic Capability Engineer, you will operate as a platform-focused engineer who designs, builds, and maintains the agentic infrastructure that powers AI-driven delivery at scale.

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How much do agentic developers jobs pay per year?

As of Jul 10, 2026, the average yearly pay for agentic developers in Spring, TX is $63,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,400.00 and $53,400.00 per year, depending on experience, location, and employer.

Is agentic AI going to replace developers?

Agentic AI refers to systems capable of autonomous decision-making, which can assist developers by automating routine tasks and code generation. However, it is unlikely to fully replace developers, as human oversight, creativity, and problem-solving remain essential in software development. Developers will continue to adapt by working alongside AI tools and focusing on complex, strategic aspects of their work.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working in competitive tech environments, with compensation reflecting expertise and experience.

What are the key skills and qualifications needed to thrive as an Agentic Developer, and why are they important?

To thrive as an Agentic Developer, you need a solid background in software engineering, AI/ML concepts, and agent-based systems, often supported by a degree in computer science or related fields. Familiarity with frameworks such as LangChain, OpenAI APIs, and experience with cloud platforms and workflow orchestration tools are typically expected. Strong problem-solving, critical thinking, and effective communication skills set top performers apart in this emerging field. These competencies enable Agentic Developers to design, build, and manage intelligent, autonomous agents that deliver innovative solutions and adapt to complex real-world tasks.

What is an agentic developer?

An agentic developer is a software developer who takes initiative and responsibility for their work, often demonstrating autonomy and proactive problem-solving. They are skilled in coding, collaboration, and may use tools like version control systems to manage projects effectively.

What is the difference between Agentic Developers vs Software Engineers?

AspectAgentic DevelopersSoftware Engineers
Required CredentialsBachelor's in Computer Science or related field, coding certificationsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentCollaborative teams, project-based settings, tech companiesDevelopment teams, tech firms, startups, corporate IT departments
Employer & Industry UsageTech startups, software firms, digital agenciesTech companies, software development firms, enterprise IT
Search & Comparison IntentYesYes

Agentic Developers and Software Engineers share similar credentials and work environments, often overlapping in tech companies and startups. However, Agentic Developers typically emphasize a proactive, autonomous approach to project execution, whereas Software Engineers focus more on designing, coding, and maintaining software solutions. Understanding these distinctions helps employers and job seekers align expectations and roles effectively.

How do Agentic Developers typically collaborate with cross-functional teams to implement autonomous systems?

Agentic Developers often work closely with data scientists, UX/UI designers, and product managers to build and integrate autonomous agents within larger software systems. Collaboration usually involves regular sprint meetings, sharing progress on task automation, and aligning system behaviors with user and business requirements. This multidisciplinary teamwork ensures that agentic solutions are robust, user-friendly, and aligned with organizational goals. Open communication and a willingness to iterate on feedback are key to success in this role.

Are agentic AI developers in demand?

Agentic AI developers are in high demand as organizations seek professionals skilled in designing autonomous and adaptive AI systems. The role typically requires expertise in machine learning, programming, and AI frameworks, with job growth driven by increasing adoption of intelligent automation across industries.

What are agentic developers?

Agentic developers are software professionals who design, build, or work with systems that exhibit agency—meaning the system can make autonomous decisions and take actions to achieve specific goals. These developers often focus on creating advanced AI agents, multi-agent systems, or applications that integrate autonomous behaviors. Their work typically involves a mix of programming, machine learning, and system design to enable intelligent, proactive software. Agentic developers are increasingly in demand as AI-driven applications become more common across industries.
What are popular job titles related to Agentic Developers jobs in Spring, TX? For Agentic Developers jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Agentic Developers jobs in Spring, TX look for? The top searched job categories for Agentic Developers jobs in Spring, TX are:
What cities near Spring, TX are hiring for Agentic Developers jobs? Cities near Spring, TX with the most Agentic Developers job openings:
Agentic Developers jobs near you
Senior AI Agentic Engineer

Senior AI Agentic Engineer

INSPYR Solutions

Spring, TX • On-site

$93K - $127K/yr

Full-time

Re-posted 6 days ago

Job description

Title: Senior AI Agentic Engineer
Location: Spring, TX 77389 (hybrid: 3 days onsite / 2 days remote)
Duration: Direct Hire
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
Senior AI Agentic Engineer
The Senior AI Agentic Engineer designs, builds, and operationalizes intelligent agent systems that automate complex enterprise business processes end-to-end. This role works at the intersection of LLMs, systems engineering, and applied machine learning - architecting multi-agent pipelines, tool-augmented reasoning systems, and retrieval-augmented generation (RAG) workflows across a range of enterprise platforms (e.g., Databricks AgentBricks, Azure OpenAI) and open-source frameworks (e.g., LangChain, LangGraph, AutoGen) - with the expectation that the right candidate brings familiarity with the broader and rapidly evolving ecosystem. The ideal candidate brings deep hands-on engineering experience with a proven track record of delivering agentic AI systems into production at enterprise scale - not just prototypes - applying rigorous software engineering principles including modular system design, testability, resilience engineering, and security-by-design to ensure agents are maintainable, reliable, and safe in the long run. This means architecting for failure - building in retries, fallbacks, and graceful degradation - and treating latency and cost as first-class engineering constraints from day one, not afterthoughts discovered in production. Beyond technical delivery, the Senior AI Agentic Engineer mentors engineers across the team, shapes the organization's AI automation strategy, translates ambiguous business problems into well-structured agentic solutions, and drives the responsible and secure deployment of AI agents across business-critical functions.
Job Duties/Roles
Agentic AI System Design & Development
  • Design, build, and deploy end-to-end agentic AI systems using LLMs, tools, memory, and planning frameworks to automate complex, multi-step enterprise business processes.
  • Architect and implement both single-agent and multi-agent workflows for autonomous task execution, decision support, and orchestration - defining agent roles, memory strategies, tool integrations, and handoff protocols.
  • Develop tool-using agents with function calling, structured outputs, API integrations, database connectors, RPA hooks, and enterprise workflow triggers.
  • Lead the integration of agentic solutions with enterprise systems including ERP, Business apps and orchestration platforms such as Databricks, Airflow, and Azure Data Factory.

Retrieval-Augmented Generation (RAG)
  • Design and optimize RAG pipelines including document ingestion, chunking strategies, embedding models, vector store selection, and retrieval ranking for enterprise knowledge bases.
  • Implement advanced retrieval techniques such as hybrid search, metadata filtering, re-ranking, and query rewriting to improve grounding and reduce hallucination.
  • Evaluate and continuously tune RAG systems for accuracy, latency, factual grounding, and cost efficiency.

Model Adaptation & Prompt Engineering
  • Evaluate and select frontier and open-source LLMs (e.g., GPT-4o, Claude, Llama, Mistral, Gemini) and apply fine-tuning strategies - including instruction tuning appropriate to each business use case.
  • Optimize prompts, system instructions, and output schemas for reliability, determinism, and safety across agentic pipelines.
  • Apply reinforcement or feedback-driven optimization where applicable, including human-in-the-loop and automated evaluation loops.

Evaluation, Monitoring & Governance
  • Define evaluation frameworks for agentic systems covering task success, factuality, grounding, latency, cost, and failure mode analysis.
  • Build observability and monitoring pipelines for agent behavior, tool call traces, and runtime failure detection.
  • Partner with governance, risk, and compliance teams to ensure responsible AI practices, audit traceability, data privacy, and regulatory adherence across all deployed agents.

Production Deployment & LLMOps
  • Deploy GenAI and agentic systems into production using cloud-native architectures on platforms such as Azure, AWS Bedrock, or Google Vertex AI with containerized (Docker/Kubernetes) delivery.
  • Implement CI/CD pipelines, prompt versioning, rollback strategies, and runtime safeguards for LLM applications in enterprise environments.
  • Optimize deployed systems for performance, cost efficiency, and scalability under real-world load.

Collaboration, Mentorship & Strategy
  • Collaborate with software engineers, product managers, data scientists, and business stakeholders to translate ambiguous process challenges into well-structured agentic solutions.
  • Mentor AI engineers and data scientists on agentic design patterns, responsible AI practices, and production-grade engineering standards.
  • Contribute to the organization's AI automation strategy, co-authoring technical roadmaps, governance policies, and center-of-excellence standards for agentic AI.
  • Stay at the forefront of the agentic AI landscape, rapidly evaluating new frameworks and research findings and communicating their business relevance to leadership.

Knowledge, Skills and Abilities Required (KSAR)
Technical - Agentic Frameworks & LLMs
  • Proven enterprise experience architecting and deploying production-grade multi-agent AI systems that automate real business workflows end-to-end - not just proofs of concept.
  • Deep hands-on expertise with agent orchestration frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel, DSPy, CrewAI, and platform-native solutions such as Databricks AgentBricks / Mosaic AI Agent Framework - with openness to emerging tools in the rapidly evolving ecosystem.
  • Deep understanding of LLMs and foundation models (e.g., GPT, Claude, Llama, Mistral, Gemini) including their capabilities, limitations, and appropriate use case fit.
  • Experience with structured outputs, function/tool calling, JSON schema design, and multi-turn agent loop engineering.

Technical - RAG & Data Platforms
  • Strong knowledge of RAG architectures, vector databases (e.g., Pinecone, Weaviate, Chroma, pgvector), embedding models, and hybrid retrieval strategies.
  • Hands-on experience with Databricks including Unity Catalog, MLflow, Delta Lake, and Databricks Workflows for end-to-end data and AI pipelines.
  • Experience with database technologies, data lakes, and enterprise data platforms including SQL, cloud storage, and streaming data sources that agents consume at runtime

Technical - Deployment, MLOps & Engineering
  • Strong Python proficiency and experience building production-grade services, APIs, and microservices that support agentic systems.
  • Experience deploying LLM and agent workloads on cloud platforms (e.g., Azure OpenAI Service, AWS Bedrock, Google Vertex AI) with containerized infrastructure (Docker, Kubernetes).
  • Experience implementing LLMOps practices including experiment tracking (e.g., MLflow, W&B), prompt versioning, evaluation harnesses, latency profiling, and CI/CD for AI systems.
  • Experience with enterprise security, data governance, and compliance requirements for AI deployments including PII handling, role-based access control, and audit logging.

Evaluation & Responsible AI
  • Familiarity with LLM evaluation techniques, failure mode analysis, red-teaming, and benchmark construction to maintain quality and trust in production agents.
  • Working knowledge of responsible AI principles including fairness, explainability, safety guardrails, and human oversight mechanisms in agentic deployments.

Leadership & Communication
  • Strong written and verbal communication skills with the ability to explain complex GenAI and agentic concepts clearly to both technical teams and executive stakeholders.
  • Demonstrated ability to lead cross-functional AI projects from discovery through production, aligning engineering, data, product, legal, and business operations teams.
  • Ability to mentor junior team members, establishing engineering standards and fostering a culture of experimentation and responsible AI development.
  • Ability to translate ambiguous, open-ended business challenges into structured agentic solution designs with clear scope and success criteria.
  • Display an entrepreneurial mindset with a bias for practical, high-impact solutions; comfortable operating in ambiguous environments and rapidly evolving technology landscapes.

Minimum years of Experience
  • 3 years' work experience as an AI Agentic Engineer and over 7 years' experience in Data Science, Gen AI, Information Systems, Computer Science, Software Engineering or other relevant field with relevant experience.

Required/Preferred Education Requirements
  • Preferred - Master's Degree in Data Science, Data Analytics, Information Systems, Computer Science, Engineering or other relevant field.
  • Required - bachelor's degree in data science, Information Systems, Computer Science, Engineering or other relevant field with relevant experience.

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/ . By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.
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