Job#: 3027345 Job Description: Role OverviewThis contingent role supports moderately complex software engineering initiatives with a focus on building advanced generative AI, agentic AI, and retrieval-augmented systems. You will design and implement LLM-powered architectures, develop high-performance Python services, and contribute to scalable AI platforms deployed across cloud and containerized environments. The role requires strong engineering fundamentals, hands-on AI systems experience, and the ability to collaborate across product, platform, and architecture teams.
Key ResponsibilitiesGenerative & Agentic AI Engineering- Build and optimize LLM-driven autonomous agents, multi-agent systems, and tool-using agent workflows.
- Develop Model Context Protocol (MCP) servers and structured context-management frameworks.
- Architect and implement scalable RAG pipelines, including embeddings, vector search, retrieval layers, grounding strategies, and prompt-engineering frameworks.
- Implement LLM function-calling, multi-step orchestration, guardrails, evaluation frameworks, and safety/quality controls.
Python & Enterprise AI Engineering- Build high-performance Python microservices and AI APIs using FastAPI, Flask, LangChain, LlamaIndex, and MCP SDKs.
- Engineer distributed AI systems designed for high-scale inference, retrieval, and multi-agent orchestration.
AI Platform & Tooling- Use Jupyter Notebooks, Tachyon, and enterprise GenAI platforms for experimentation, evaluation, and model refinement.
- Leverage GitHub Copilot and modern DevSecOps workflows to accelerate development.
- Contribute to reusable AI patterns, enterprise accelerators, and responsible-AI guardrails.
Cloud & Platform Engineering- Deploy and operate AI solutions on Google Cloud Platform (Google Cloud Platform) using GKE, Vertex AI, Cloud Run, IAM, and related services.
- Containerize and orchestrate AI services using OpenShift and enterprise Kubernetes platforms.
- Build and maintain CI/CD pipelines aligned with DevOps best practices and enterprise governance.
Data, Integration & Retrieval- Work with vector databases such as MongoDB Atlas Vector Search, Chroma, Pinecone, Redis, pgVector, and others.
- Build secure, scalable retrieval layers, embedding pipelines, and long-term AI memory modules for agentic workflows.
Architecture, Governance & Delivery- Participate in architecture reviews and contribute to responsible and compliant AI governance frameworks.
- Lead POCs, engineering improvements, and innovation workstreams with minimal oversight.
- Ensure adherence to risk, security, and regulatory standards.
Required Qualifications- Bachelor's or Master's degree in Computer Science, Computer Engineering, Computer Applications, or related technical field.
- 3+ years of hands-on experience building LLM, generative AI, or agentic AI systems.
- Expert-level proficiency in Python, including async programming, APIs, microservices, and distributed systems.
- Experience deploying scalable AI platforms on Google Cloud Platform and OpenShift/Kubernetes.
- Proven expertise in RAG pipelines, embeddings, vector search, and LLM orchestration.
- Proficiency with Jupyter, Tachyon, GitHub Copilot, CI/CD, and modern DevOps tooling.
- Demonstrated ability to work independently and drive AI innovation.
Desired Qualifications- Familiarity with LangChain, LlamaIndex, and APIs for OpenAI, Google Gemini, or similar model families.
- Experience with observability stacks such as Grafana, Prometheus, and Cloud Logging.
- Strong communication skills and ability to partner with technical and business stakeholders.
- Experience contributing to or co-developing production-ready UI or backend components.
Additional Skills- Python development with GenAI and MCP experience.
- 5+ years of Python engineering experience across automation, machine learning, or AI systems.
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. 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 Employee Services Department at or .
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 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.
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