Python Developer with Agentic AI

enGen Global is an emerging global healthcare partner that delivers strategic innovation, expertise, and flexibility to its healthcare partners. Being a US healthcare conglomerate captive, we have direct access to deeper insights that help us accelerate our learning process and keeps us ahead of the curve. Thryve delivers next-generation solutions that enable our healthcare partners to provide positive experiences to their consumers.

Our global collaborative of healthcare, operations, and IT experts creates innovative and sustainable processes for our clients, which keeps the ever-evolving consumers engaged and assists them in managing the future of their healthcare better. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. Thryve is an equal opportunity employer and places a high value on integrity, diversity, and inclusion in the organization. We do not discriminate based on any protected attribute.

We are seeking an innovative and highly skilled Agentic AI Developer to join our engineering team. We are at the forefront of leveraging cutting-edge Generative AI models, orchestration frameworks, and cloud infrastructure to create intelligent systems that interact seamlessly with our enterprise tools and data. We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success.

Role Summary

This role demands an experienced Agentic AI Developer to design, build, and deploy autonomous AI agents capable of reasoning, planning, and executing complex, multi-step workflows within a fast-paced, agile environment.

Responsibilities

• Design, develop, and test autonomous AI agents and multi-agent systems to solve complex business problems.

• Write clean, scalable, and maintainable production-grade code using Python.

• Deploy, manage, and scale AI architectures and agentic workflows securely on Google Cloud Platform (GCP).

• Integrate Large Language Models (LLMs) with external APIs, cloud databases, and enterprise software toolchains.

• Build and optimize advanced Retrieval-Augmented Generation (RAG) pipelines and manage vector databases.

• Implement robust evaluation frameworks, strict grounding techniques, and anti-hallucination guardrails to ensure enterprise-grade reliability.

• Monitor agent performance, debug complex AI reasoning loops, and optimize systems for latency and cost.

• Collaborate closely with product managers, data engineers, and stakeholders to translate business requirements into technical AI solutions.

Required Skills

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field.

• Proven hands-on experience building and deploying generative AI applications in a production environment.

• Advanced proficiency in Python programming with 7 – 9 years of experience, including asynchronous programming and API development.

• Experience with GCP services, specifically Vertex AI, Google ADK ,Cloud Run, Cloud Functions, and BigQuery,

• Deep understanding of LLM capabilities, advanced prompt engineering, and context window management.

• Practical experience with Gen AI orchestration and agentic frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI.

• Strong foundational knowledge of vector search technologies, embeddings, and semantic search methodologies.

Good to have Skills

• Experience designing complex multi-agent architectures where AI models collaborate to solve tasks.

• Background in implementing MLOps pipelines, CI/CD for machine learning, and automated model evaluation.

• Solid understanding of data security, privacy compliance, and AI governance best practices.

• Experience with containerization technologies like Docker and Kubernetes.