AI Engineer

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    "datePosted": "2025-08-19",
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    "description": "<p><span style=\"font-weight: bold\">Job Purpose</span></p>\n<p>We are seeking a highly motivated and skilled AI Engineer to join our team and drive innovation<br>in the fast-evolving landscape of Generative AI. The ideal candidate will have deep hands-on<br>expertise in RAG (Retrieval-Augmented Generation) pipelines and working familiarity with<br>Frontier Models (e.g., GPT-4, Claude, LLaMA, etc.). Exposure to cutting-edge orchestration<br>frameworks like CrewAI, LangGraph, Autogen, or OpenAI SDK is highly desirable.<br></p>\n<p><br></p>\n<p>You will work closely with product, data, and engineering teams to prototype, build, and scale AI-first solutions that deliver tangible business impact. Strong communication skills are key, as you’ll<br>be working with cross-functional teams and occasionally interfacing with clients.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Responsibilities</span></p>\n<ul>\n<li>Design and implement scalable RAG pipelines to enable contextual, high-quality responses using enterprise knowledge bases.</li>\n<li>Evaluate and integrate Frontier LLMs /Open source LLM and APIs for specific tasks, ensuring optimal performance and efficiency.</li>\n<li>Build autonomous agent workflows using tools like CrewAI, LangGraph, Autogen, or OpenAI SDK.</li>\n<li>Develop and optimize prompts, chains, and multi-agent systems.</li>\n<li>Stay updated on the latest in the GenAI ecosystem and make recommendations for internal adoption.</li>\n<li>Collaborate with stakeholders to understand use cases, define solution architectures, and iterate prototypes into production-ready systems.</li>\n<li>Ensure responsible AI practices, including data privacy, model explainability, and<br>compliance.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Required Skills &amp; Experience</span></p>\n<ul>\n<li>6 to 7 years of overall industry experience with at least 1–2 years in Generative AI /LLM-focused projects.</li>\n<li>Strong understanding of Frontier LLMs and their application across domains.</li>\n<li>Hands-on experience in IDE’s such as Cursor</li>\n<li>Hands-on experience building Retrieval-Augmented Generation systems using vector databases (like FAISS, Weaviate, or Pinecone).</li>\n<li>Working knowledge of CrewAI, LangGraph, Autogen, or similar agent orchestration frameworks.</li>\n<li>Proficiency in Python, with experience using libraries like LangChain, Transformers, and OpenAI SDKs.</li>\n<li>Familiarity with API integrations, asynchronous task handling, and cloud-native<br>deployment (Azure).</li>\n<li>Excellent problem-solving and analytical skills.</li>\n<li>Strong written and verbal communication skills.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Preferred Qualifications</span></p>\n<ul>\n<li>Exposure to US Healthcare systems, data formats (FHIR, HL7), or domain-specific use cases is a plus.</li>\n<li>Experience in fine-tuning or evaluating LLMs using domain-specific corpora.</li>\n<li>Understanding of security and compliance requirements in regulated industries.</li>\n</ul>\n<p><br><br></p>\n<p><span style=\"font-weight: bold\">What We Offer</span><br>• Opportunity to work on cutting-edge AI projects with meaningful real-world applications.<br>• Collaborative and inclusive work culture.<br>• Flexible work environment and competitive compensation.<br></p>\n<p><br></p>\n<p>Join us in shaping the future of AI-powered applications. If you are passionate about solving<br>complex problems with elegant GenAI-driven solutions, we’d love to hear from you.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Required Education</span></p>\n<p>Bachelor’s degree in Computer Science, Electrical and Computer Engineering, Software<br>Engineering, or Equivalent. An MS or PhD in such technical fields is very desirable</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Compensation &amp; Benefits</span></p>\n<p>Welldoc offers a competitive compensation package, including generous PTO, pre-IPO stock<br>options, and medical insurance</p>\n<p><br></p>",
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