Artificial Intelligence Engineer

We are hiring AI Agent Developer

About Client:

We are an innovative, stealth-mode startup at the forefront of applying next-generation AI to chemistry and scientific reasoning. As a sister concern of Laxai Life Sciences and working closely with our clients, we are uniquely positioned to revolutionize how groundbreaking molecules are discovered and developed, initially focusing on the pharmaceutical industry with broader ambitions in the materials space. The company is US-incorporated, with a significant part of the team in India.

Our team comprises seasoned experts from both the pharmaceutical and technology sectors, tackling significant technical challenges with the potential for substantial real-world impact. Our founders are Vamsi Maddipatla and Nivedita Ratakonda, both serial entrepreneurs. Vamsi is the founder of Laxai Life Sciences and group companies and has 20+ years of experience in the technology and biopharma industries. Nivedita is a tech entrepreneur and Stanford graduate, a repeat founder with 20+ years of experience. Our advisors are seasoned experts in the pharmaceutical space: Dr. Abigaile Doyle of UCLA and Dr. John Dillon. The founders and advisors are all based in the US.

We are developing the cutting edge of applied AI and scientific automation and are in an exciting phase of growth. We are looking for talented individuals to join us who can thrive in a fast-paced, agile startup environment, working towards a bold vision of a moonshot.

Role Summary:

We are seeking an AI Agent Developer to design, build, and deploy intelligent agents that can operate autonomously within digital environments. This role focuses on the development of AI agents that perform reasoning, planning, decision-making, and interaction tasks using large language models (LLMs), multi-agent systems, or simulation frameworks.

You will work at the frontier of AI development creating agents that learn from data, communicate with users or other systems, and adapt to complex, dynamic environments.

Key Responsibilities

• Design and implement AI agents using LLMs, planning algorithms, and decision-making frameworks
• Develop agent architectures that support autonomy, interactivity, and task completion
• Integrate agents into applications, APIs, or workflows (e.g., chatbots, copilots, automation tools)
• Collaborate with researchers, engineers, and product teams to iterate on agent capabilities
• Optimize agent behavior through feedback loops, reinforcement learning, or user interaction
• Monitor performance, conduct evaluations, and implement safety and guardrail mechanisms
• Maintain thorough documentation of agent logic, design decisions, and dependencies

Qualifications

• Strong programming skills in Python (or similar) and experience with AI/ML libraries (e.g., LangChain, OpenAI API, Hugging Face, PyTorch)
• Understanding of agent-based modeling, multi-agent systems, or reinforcement learning
• Experience building applications with LLMs or generative AI models
• Familiarity with API development, backend services, and deployment pipelines
• Ability to work independently in experimental and fast-paced environments
• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field

Preferred Qualifications

• Experience with frameworks for autonomous agents (e.g., AutoGPT, CrewAI, LangGraph, ReAct, BabyAGI)
• Background in human-AI interaction, conversational UX, or simulation environments
• Knowledge of vector databases, prompt engineering, or retrieval-augmented generation (RAG)
• Contributions to open-source AI projects or a portfolio of agent-based systems
• Understanding of the ethical, social, and safety considerations of autonomous AI systems

What We Offer

• A collaborative, research-driven environment working at the forefront of AI
• Access to cutting-edge models, compute, and agent toolkits
• High-impact projects focused on real-world use cases of autonomous AI
• Competitive salary, benefits, and professional development opportunities
• Flexible work hours and remote-friendly policies

Interested candidates can apply by sharing their resume at or apply via job post.