AnaVation is seeking an Agentic-AI Software engineer to design, develop, and deploy advanced agentic AI systems that autonomously perform complex tasks, make decisions, and interact with dynamic environments.
Requirements
- 2+ years of experience in AI/ML development, with a focus on Agentic AI or autonomous systems.
- Programming Languages: Python (primary), JavaScript/TypeScript (for API development), C++ (for performance-critical components).
- Machine Learning: PyTorch, TensorFlow, JAX.
- Reinforcement Learning: Stable-Baselines3, Ray RLlib, OpenAI Gym, or Gymnasium.
- Agentic AI Frameworks: LangChain, LlamaIndex, AutoGen, or CrewAI.
- Large Language Models (LLMs): Experience with models like LLaMA, GPT, BERT, or Grok for natural language understanding and generation, including leveraging AWS Bedrock for LLM deployment and management.
- Reinforcement Learning (RL): Expertise in RL algorithms (e.g., DQN, PPO, SAC) and multi-agent RL systems.
Responsibilities
- Architect and implement Agentic AI systems capable of autonomous decision-making, task planning, and execution in real-world applications.
- Design and integrate multi-agent systems to solve complex problems through collaborative and competitive interactions.
- Develop and fine-tune large language models (LLMs) and reinforcement learning (RL) models to power agentic behaviors.
- Implement robust APIs and interfaces to integrate AI agents with external systems, databases, and tools.
- Optimize AI models for performance, scalability, and low-latency inference in production environments.
- Conduct rigorous testing, validation, and monitoring of AI agents to ensure reliability, safety, and alignment with ethical standards.
- Collaborate with product managers, data scientists, and software engineers to define requirements and deliver end-to-end AI solutions.
Other
- Active TS/SCI within last 24 months
- BS + 4 Yrs or MS + 2 Yrs experience in computer science, AI, Machine Learning, or a related field.
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
