Title: Gen AI Developer (Python or Java with SQL) - NC, NJ, TX Job Description: Job#: 3027524 Job Description: Architect & AI Engineer Location: Charlotte, NC Iselin, NJ and Irving, TX (Hybrid) Employment Type: 12 Months Contract Pay Rate - $69.00/hr to $74.00/hr Role Overview In this contingent resource assignment, the Software Engineer will consult on complex initiatives with broad impact and large-scale planning for Software Engineering. The role involves reviewing and analyzing multi-faceted, long-term engineering challenges that require in-depth evaluation of multiple factors. The engineer will contribute to resolving complex situations while ensuring alignment with function, policies, procedures, and compliance requirements, and will strategically collaborate with client personnel. Key Responsibilities - Define target architectures, reference designs, and long-term roadmaps. - Lead architecture reviews and drive cross-domain integrations. - Translate business needs into well-scoped, secure, and reliable system designs (capacity, reliability, security, cost) and deliver them as production systems in Python/Java on OCP/Kubernetes. - Build and deliver LLM-powered features using Gemini and GPT, including prompting, function/tool calling, and RAG. - Design and implement evaluation frameworks for AI solutions, covering golden sets, offline/online tests, guardrails, and cost/latency/quality SLIs. - Construct agent workflows utilizing LangChain and Google AIDK/Vertex AI agents. - Embed security controls (secrets, policies, SBOMs, supply chain checks) and model risk/AI safety controls into pipelines and runtime environments. - Decompose ambiguous problems, run spikes, present options with trade-offs, and drive decisions that balance speed, safety, and cost. - Establish and continuously improve end-to-end SDLC processes, including branching, code review quality, test strategy, and release management. - Define SLOs/SLIs, instrument services with OpenTelemetry/Prometheus, and champion SRE practices for operational excellence. Required Qualifications Experience: 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, or education. Technical Skills: - Strong technical architecture experience, including defining target architectures, reference designs, and cross-domain integrations. - System design and delivery experience in Python/Java on OCP/Kubernetes. - AI/LLM solutioning experience with technologies such as Gemini, GPT, and RAG, including prompting and evaluation frameworks. - Experience building with agentic frameworks like LangChain and Google AIDK/Vertex AI agents. Preferred Qualifications - Experience with security and compliance by design, including SBOMs, supply chain checks, secrets, and policies. - Demonstrated ability to resolve ambiguity through spikes, trade-off analysis, and driving decisions. - Experience with end-to-end SDLC ownership, including branching, versioning, test strategy, and release management. - Familiarity with operational excellence practices such as defining SLOs/SLIs, using OpenTelemetry/Prometheus, and applying SRE principles. - Experience with incident readiness and post-incident learning processes. Compensation & Benefits The pay rate for this position is between $69.00/hr and $74.00/hr. This is a 12-month contract assignment with the potential for extension or conversion based on performance and budget alignment. EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide. Employee Type: Contract Location: Charlotte, NC, US Job Type: Date Posted: March 25, 2026 Pay Range: $69 - $74 per hour Similar Jobs - Junior ServiceNow Developers (Gen AI) - Lead SNOW Developer (Gen AI) - SmallTalk Dev - DE, NC, NJ, AZ, TX - SmallTalk (Lead Level) - NC, NJ, DE, TX, AZ - Capital Markets Java Dev - NY, NC, NJ

Title: Senior AI Engineer - NC Employee Type: Contract Pay Range: $53 - $57 per hour Job Description: Job#: 3027518 Job Description: Senior AI Engineer Location: Charlotte, NC, Iselin, NJ and Irving, TX (Hybrid) Employment Type: 12 Months Contract Pay Rate - $53.00 and $57.00 per hour Role Overview In this contingent resource assignment, the Software Engineer will consult on or participate in moderately complex initiatives and deliverables within Software Engineering. Responsibilities include reviewing and analyzing complex engineering challenges, contributing to issue resolution, and collaborating with others to meet deliverables while ensuring alignment with policies, procedures, and compliance requirements. Key Responsibilities - Define target architectures, reference designs, and engineering roadmaps. - Participate in architecture reviews and cross-domain integrations. - Translate business needs into scalable, secure, and reliable system designs. - Deliver production systems in Python/Java on OCP/Kubernetes. - Build LLM-powered features using Gemini, GPT, RAG, and tool/function calling. - Design evaluation frameworks including golden sets, offline/online tests, guardrails, and SLIs. - Build agent workflows using LangChain and Google AIDK/Vertex AI agents. - Embed security and compliance controls into pipelines and runtime environments. - Decompose ambiguous problems, run spikes, and present trade-off-based solutions. - Own and improve SDLC processes such as branching, code review quality, testing, and release management. - Define SLOs/SLIs and instrument services with OpenTelemetry/Prometheus. - Champion SRE practices and incident readiness/post-incident learning. Required Qualifications Experience: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, or education. Technical Skills: - Technical architecture, including target architectures, reference designs, and cross-domain integrations. - System design and delivery in Python/Java on OCP/Kubernetes. - AI/LLM solutioning with Gemini, GPT, RAG, prompting, and evaluation frameworks. - Experience with agentic frameworks such as LangChain and Google AIDK/Vertex AI agents. Preferred Qualifications - Security and compliance by design, including SBOMs, supply chain checks, secrets, and policies. - Ambiguity-resolution skills demonstrated through spikes, trade-off analysis, and decision-making. - End-to-end SDLC ownership including branching, versioning, test strategy, and release management. - Operational excellence with SLOs/SLIs, OpenTelemetry, Prometheus, and SRE practices. - Experience with incident readiness and post-incident learning leadership. Compensation & Benefits The pay rate for this position is between $53.00 and $57.00 per hour. Contract duration is 12 months with potential for extension or conversion. A comprehensive benefits package is available to eligible employees. This employer is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Apex uses a virtual recruiter as part of the application process. Click here for more details. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Benefits Department at leaverequest@apexsystems.com or 804-523-8228. Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click here for more details. Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Apex team member can provide.

• AI feature design & integration into product flows • Own AI feature requirements jointly with Product • Translate procurement logic into structured prompts, schemas, etc • Work closely with other engineering teams • AI infrastructure & orchestration (proxy, lambdas, streaming) • Be able to follow existing architecture and design correct approaches for our current system • Work comfortably with Python services, Fast API, REST APIs, streaming, and deployment constraints • Collaborate on infra topics without being pure MLOps • AI quality, evaluation & alignment with business logic (refinement, support, bug fixes, continuous improvements) • Design and run evaluation pipelines for AI features, including continuous monitoring and quality upgrades • Implement custom, business‑logic‑driven checks for LLM outputs • Perform RAG / LLM evaluation (accuracy, consistency, hallucination controls) • Write and maintain validation logic and guardrail code, not only “prompt tweaks” • AI governance & EU AI Act compliance • Work comfortably under EU AI Act constraints and internal governance • Document model usage, data flows, and risks for each AI feature • Define guardrails together with Product/Security teams • Participate in training, documentation, and audits – owning building models and safe/secure AI operations • Observability, monitoring & production robustness of AI features • Read and interpret logs/metrics for AI components • Specify and interpret monitoring for AI flows (latency, error rates, drift signals, usage patterns) • Understand versioning and backwards compatibility of AI outputs and contracts with other services • Cross‑team collaboration & stakeholder work • Communicate clearly with Product, Engineering, Security, and Business teams • Translate DS/ML decisions into clear Jira tickets and Confluence docs • Walk customers/CS through AI issues, limitations, and upcoming improvements when needed • Lead or co‑lead refinements, design reviews, and post‑mortems for AI features • Research & exploration (models, methods, vendors) • Research and deliver focused PoCs/MVPs based on product/tech roadmap • Stay up‑to‑date with LLM / RAG / evaluation research (papers, blogs, open‑source) and translate relevant ideas into shippable solutions • Justify why a specific model / architecture / vendor is chosen for our procurement use cases • Maintain a research backlog, prioritise by product impact and feasibility, and document decisions/learnings • Multi‑agent systems & advanced reasoning (agentic frameworks and tooling): Multi‑Agent Systems & Advanced Reasoning – Hands‑on experience with agentic frameworks (e.g., LangGraph, CrewAI, AutoGen) and advanced reasoning techniques (Chain‑of‑Thought, ReAct, Plan‑and‑Execute) to structure complex AI workflows • Integration & Tool Management – Ability to define safe APIs, connect agents to external systems, and implement memory/state management (short‑term and vector‑based) along with RAG pipelines • Programming & Infrastructure Expertise – Expert Python skills and deployment experience using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure) with monitoring via tools • Evaluation, Safety & Ethics – Designing benchmarks to measure agent performance, ensuring reliability and cost‑efficiency, while implementing guardrails to prevent prompt injection and maintain ethical, legal compliance • Strategic & Soft Skills – Translating business goals into agent workflows, critically evaluating AI outputs for errors or bias, and communicating complex AI reasoning effectively to stakeholders

• Lead Agentic AI Design & Prototyping workshops with member organizations • Guide participants through the end-to-end process: Identifying high-value use cases, Designing agent roles, workflows, and orchestration patterns • Rapidly build and iterate functional AI agent prototypes • Facilitate hands-on build sessions and hackathons • Collaborate with member teams to co-create and refine AI artifacts during live engagements • Contribute to the development of practical AI resources • Provide advisory support to members as they move from prototype to broader implementation • Partner with Research, Advisory, Sales, Marketing, and Delivery teams