Title: Lead AI Engineer
Location: US, remote
Employment: W2
Length: 6 months with extension
Please note: customer requires visiting one of their offices for verification purposes on the first day of onboarding : Denver, CO; NYC, NY; Atlanta, GA; Plymouth Meeting, PA; Overland Park, KS; St Pete''s, FL
JD:
Client is seeking an experienced AI Engineer to drive the transformation of AI initiatives into production-ready, enterprise-scale solutions. This role will focus on Agentic AI systems and will work closely with client''s AI, engineering and product teams.
The ideal candidate combines deep technical expertise with strong leadership and delivery ownership. You will act as a bridge between business needs, architecture standards, an hands-on implementation - ensuring AI solutions are robust, scalable, reproducible, and aligned with client’s long-term AI strategy.
Responsibilities
- Design, build, and deploy fullstack applications using current stack (Python + React) while remaining language-agnostic
- Architect secure, scalable systems with a strong emphasis on security, compliance, and best practices.
- Lead and contribute to internal AI initiatives, including:
- Supporting existing AI-enabled products
- Designing and implementing new AI-driven solutions
- Providing internal consulting on how teams can leverage AI
- Use and evaluate a diverse set of AI developer tools (GitHub Copilot, Cursor, Claude)
- Collaborate with cross-functional teams to rapidly scope, prototype, and deliver solutions
- Serve as a technical thought partner to business units to identify opportunities where AI can improve efficiency, reduce risk, or enhance customer experience
- Ensure all solutions meet security, compliance, and regulatory expectations, particularly in complex environments such as financial services
- Build and integrate agentic systems powered by cutting-edge LLM and GenAI technologies
- Work closely with AI Engineers to turn AI capabilities into production-ready enterprise solutions
- Design, develop, and deploy agentic AI systems leveraging LLMs and modern AI frameworks
- Integrate GenAI models into full-stack applications and internal workflows
- Collaborate on prompt engineering, fine-tuning, and evaluation of generative outputs
- Build reusable components and services for multi-agent orchestration and task automation
- Optimize AI inference pipelines for scalability, latency, and cost efficiency
- Participate in architectural discussions, contributing to the technical roadmap
Required Skills & Qualifications
- 7+ years of full stack development experience using programming languages like Python, JavaScript, Node.js, ReactJS
- Experience with LLM frameworks, (LangChain, Bedrock Data Automation)
- Understanding of Git, CI/CD, DevOps, and production-grade GenAI deployment practices
- Working experience in Data Processing, AI-enabled workflows using Python
- Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI
- Deep understanding of LLMs, embeddings, vector databases
- Experience with Docker, Kubernetes, and cloud-native deployment practices
- Knowledge of AI observability, model monitoring, and cost optimization strategies
- Strong communication skills and the ability to collaborate effectively with technical and non-technical stakeholders
- Experience working with distributed engineering teams
Nice to Have
- Experience in financial services, especially with core banking systems or other highly complex, regulated domains
- Deep familiarity with modern AI development patterns, prompt engineering, vector databases, embeddings, or retrieval pipelines
- Experience with LLM orchestration, prompt management, and evaluation frameworks
- Knowledge of data governance, security, and compliance in enterprise environments
- Experience with cloud-native architectures and scalable AI platforms
Prior experience in consulting, internal enablement, or roles involving cross-functional evangelism
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