Lead Software Engineer - Onsite

Genesis10•Charlotte, NC

17h•$59 - $67•Onsite

About The Position

Genesis10 is seeking a Lead Software Engineer for a 12+ month contract opportunity with a Global Financial Institution. The role is based in Charlotte, NC or Irving, TX and focuses on developing innovative, enterprise-grade AI products within a new Agentic Engineering group. The Lead Software Engineer will be responsible for designing, developing, testing, and deploying sophisticated Generative AI applications, translating architectural designs into robust, scalable, and secure software. This position requires hands-on development experience and a strong interest in solving complex technical problems using modern AI capabilities.

Requirements

4+ years of software engineering experience or equivalent through a combination of work experience, training, military service, or education.
4+ years of experience building Agentic automated applications.
2+ years of experience building Agentic Engineering solutions.
2+ years of experience working with Generative AI, large language models, or foundation models.
2+ years of experience with either GCP, Azure, Kubernetes, or OpenShift.
2+ years of experience with Python.
2+ years of experience with REST API development and containerization technologies such as Docker and Kubernetes.
2+ years of experience using Git for source code version control, including branching, pull requests, and collaborative development workflows.

Nice To Haves

Experience with Microsoft Power Platform (Power Apps, Power Automate, PVA, Power BI).
Experience with UI Path.
Experience with AI SDLC (DEVI AI, Claude Code, Claude Design).
Experience with Langchain or any other Agentic framework.
Experience with Alteryx (Data transformation and automation).
Experience with IDP (intelligent document processing).
Experience with Microsoft Co-Pilot Studio.
Hands-on experience with Agentic AI (Gitogenin/Vertex AI).
UI Path Certification.
MS Power Platform Certification.
Understanding of cloud security principles including identity and access management, encryption, and network security in public or hybrid cloud environments.
Experience working in highly regulated industries such as financial services.
Experience as a technical lead or architect, including mentoring senior engineers.
Experience integrating or contributing to open source AI or ML projects.
Experience integrating applications with enterprise data platforms, APIs, and secure data pipelines.
Strong communication and documentation skills to collaborate across engineering, product, and oversight teams.
Experience with LLM development using OpenAI, Anthropic, or Google Gemini models.
Experience with vector databases and retrieval systems such as Elasticsearch, OpenSearch, Pinecone, or Weaviate.
Experience with LLM evaluation, observability, and monitoring including latency, cost, accuracy, grounding, drift detection, and safety assessments.
Familiarity with ML lifecycle tools and processes such as feature stores, model registries, and CI or CD pipelines for AI services.
Familiarity with responsible AI principles, compliance, and governance processes related to AI systems in regulated environments.
Experience optimizing AI application performance including prompt efficiency, model selection, caching, batching, and cost management.

Responsibilities

Lead moderately complex initiatives and deliverables within technical engineering environments.
Contribute to large scale planning of strategies.
Design, code, test, debug, and document applications and services including upgrades and deployments.
Review technical challenges that require in-depth evaluation of technologies, procedures, and engineering approaches.
Resolve moderately complex issues while guiding teams to meet existing and emerging business needs.
Collaborate with peers, colleagues, and mid-level managers to resolve technical challenges and meet project goals.
Lead projects and act as an escalation point, providing direction to less experienced engineers.
Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies.
Implement prompt engineering, retrieval augmented generation, fine tuning, and agentic design patterns.
Integrate LLM models with existing enterprise systems and ensure that AI solutions meet governance, security, and compliance standards.
Troubleshoot complex application and model related issues and contribute to the continuous improvement of AI systems.
Assist and mentor engineers in advanced software development and AI engineering practices.
Stay informed of advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems.

Benefits

Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years.
The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years.
Access to an experienced, caring recruiting team (more than 7 years of experience, on average.)
Behavioral Health Platform
Medical, Dental, Vision
Health Savings Account
Voluntary Hospital Indemnity (Critical Illness & Accident)
Voluntary Term Life Insurance
401K
Sick Pay (for applicable states/municipalities)
Commuter Benefits (Dallas, NYC, SF, and Illinois)