Consultant - Python Agentic AI
Thryve Digital · Chennai
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Collected role description
<p><span style="font-size:14px;"><b>Agentic AI Developer</b></span></p><p><span style="font-size:14px;"><b>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.</b></span></p><p><span style="font-size:14px;"><b> </b></span></p><p><span style="font-size:14px;"><b>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.</b></span></p><p><span style="font-size:14px;"><b>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. </b></span></p><p><span style="font-size:14px;"><b>Role Summary</b></span></p><p><span style="font-size:14px;"><b>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.</b></span></p><p><span style="font-size:14px;"><b>Responsibilities</b></span></p><p><span style="font-size:14px;"><b> • Design, develop, and test autonomous AI agents and multi-agent systems to solve complex business problems.</b></span></p><p><span style="font-size:14px;"><b> • Write clean, scalable, and maintainable production-grade code using Python.</b></span></p><p><span style="font-size:14px;"><b> • Deploy, manage, and scale AI architectures and agentic workflows securely on Google Cloud Platform (GCP).</b></span></p><p><span style="font-size:14px;"><b> • Integrate Large Language Models (LLMs) with external APIs, cloud databases, and enterprise software toolchains.</b></span></p><p><span style="font-size:14px;"><b> • Build and optimize advanced Retrieval-Augmented Generation (RAG) pipelines and manage vector databases.</b></span></p><p><span style="font-size:14px;"><b> • Implement robust evaluation frameworks, strict grounding techniques, and anti-hallucination guardrails to ensure enterprise-grade reliability.</b></span></p><p><span style="font-size:14px;"><b> • Monitor agent performance, debug complex AI reasoning loops, and optimize systems for latency and cost.</b></span></p><p><span style="font-size:14px;"><b> • Collaborate closely with product managers, data engineers, and stakeholders to translate business requirements into technical AI solutions.</b></span></p><p><span style="font-size:14px;"><b>Required Skills</b></span></p><p><span style="font-size:14px;"><b> • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field.</b></span></p><p><span style="font-size:14px;"><b> • Proven hands-on experience building and deploying generative AI applications in a production environment.</b></span></p><p><span style="font-size:14px;"><b> • Advanced proficiency in Python programming with 7 – 9 years of experience, including asynchronous programming and API development.</b></span></p><p><span style="font-size:14px;"><b> • Experience with GCP services, specifically Vertex AI, Google ADK ,Cloud Run, Cloud Functions, and BigQuery, </b></span></p><p><span style="font-size:14px;"><b> • Deep understanding of LLM capabilities, advanced prompt engineering, and context window management.</b></span></p><p><span style="font-size:14px;"><b> • Practical experience with Gen AI orchestration and agentic frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI.</b></span></p><p><span style="font-size:14px;"><b> • Strong foundational knowledge of vector search technologies, embeddings, and semantic search methodologies.</b></span></p><p><span style="font-size:14px;"><b>Good to have Skills</b></span></p><p><span style="font-size:14px;"><b> • Experience designing complex multi-agent architectures where AI models collaborate to solve tasks.</b></span></p><p><span style="font-size:14px;"><b> • Background in implementing MLOps pipelines, CI/CD for machine learning, and automated model evaluation.</b></span></p><p><span style="font-size:14px;"><b> • Solid understanding of data security, privacy compliance, and AI governance best practices.</b></span></p><p><span style="font-size:14px;"><b> • Experience with containerization technologies like Docker and Kubernetes.</b></span></p>
Collected experience requirement
7-9 years