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We are seeking a highly skilled and pragmatic AI Lead to design, develop, and deploy advanced AI solutions. This multifaceted role involves creating intelligent AI agents capable of understanding goals, planning actions, and executing tasks with minimal human intervention, as well as contributing to the development and implementation of generative AI solutions. The ideal candidate will possess a strong understanding of AI principles, agent-based systems, machine learning, software engineering and management best practices. This hybrid position emphasizes technical leadership, focusing on rapid prototyping, iterative improvement, and delivering measurable business value by translating research ideas into robust, scalable production systems.
Job Responsibility:
Agent and Generative AI Development: Design, implement, and deploy intelligent agents, including perception, reasoning, planning, and action execution modules
Contribute to the development and implementation of generative AI solutions, ensuring they meet technical requirements and business objectives
System Architecture & Scalability: Develop scalable and robust architectures for agentic systems and generative AI applications, ensuring high performance, reliability, and security
Machine Learning & LLM Integration: Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making
Implement LLM integration using platforms like OpenAI, Anthropic, and Bedrock APIs
Task Automation & Workflow Optimization: Develop agents that can automate complex tasks, optimize workflows, and solve real-world problems across various domains
Rapid Delivery: MVP first approach, iterative improvement approach with a focus on "time to value" (quick iterations, hypothesis testing, A/B experiments)
Framework and Tooling: Utilize and contribute to agentic AI frameworks and development tools
Build full-stack applications that integrate existing ML/LLM tools and services
Evaluation and Optimization: Design and implement metrics and evaluation strategies for agent performance, continuously optimizing and improving agent behavior
Research and Innovation: Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose innovative solutions
Demonstrate deep expertise in generative AI technologies, actively participating in the development of proofs of concept (POCs) and exploring new methodologies
Collaboration & Leadership: Work closely with cross-functional teams (AI researchers, data scientists, product managers, software engineers) to integrate agentic and generative AI solutions into broader products and services
Lead technical teams through hands-on coding and architectural decisions, championing pragmatic "buy and integrate" approaches
Documentation: Create comprehensive technical documentation for agent designs, implementations, and operational procedures
Requirements:
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field
10+ years software engineering experience with recent hands-on coding, with a track record of rapid delivery and launching multiple AI features in production
Minimum 3+ years of professional experience in software development with a focus on AI, prompt engineering, machine learning and/or agentic AI systems
Experience in the finance industry is a plus
Strong proficiency in Python (FastAPI, Django, Flask, PySpark) or Java (Spring Boot, Spring Cloud, Spring Security), and SQL
JavaScript (React, Next.js, Node.js, TypeScript)
Full-stack development with a focus on rapid prototyping
Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas)
Familiarity with large language models (LLMs) like ChatGPT, LaMDA/Gemini, Llama, etc., and their application in agentic systems
Familiarity with specific agent frameworks (e.g., LangChain, AutoGen, CrewAI, RAG) or research in multi-agent reinforcement learning
Experience in designing and implementing APIs for AI services
Experience with software development best practices, including version control (Git), CI/CD pipelines, testing, and code reviews
Understanding of agile methodologies, application resiliency, and security applied to AI projects
Proven experience in system design, application development, and operational stability in AI projects
Experience with application and data architecture patterns and designs
Thorough understanding of data flows from producer to consumer systems
Familiarity with data engineering practices to support AI model training and deployment
Leveraging managed services and existing platforms, with an API-First Design emphasizing microservices and event-driven architectures
Experience with Docker and Kubernetes
Excellent analytical and problem-solving skills with a creative approach to complex challenges
Strong written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences
What we offer:
medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
discretionary and formulaic incentive and retention awards