AI Engineer

Job Purpose

We are seeking a highly motivated and skilled AI Engineer to join our team and drive innovation in the fast-evolving landscape of Generative AI. The ideal candidate will have deep hands-on expertise in RAG (Retrieval-Augmented Generation) pipelines and working familiarity with Frontier Models (e.g., GPT-4, Claude, LLaMA, etc.). Exposure to cutting-edge orchestration frameworks like CrewAI, LangGraph, Autogen, or OpenAI SDK is highly desirable.

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 be working with cross-functional teams and occasionally interfacing with clients.

Responsibilities

• Design and implement scalable RAG pipelines to enable contextual, high-quality responses using enterprise knowledge bases.
• Evaluate and integrate Frontier LLMs /Open source LLM and APIs for specific tasks, ensuring optimal performance and efficiency.
• Build autonomous agent workflows using tools like CrewAI, LangGraph, Autogen, or OpenAI SDK.
• Develop and optimize prompts, chains, and multi-agent systems.
• Stay updated on the latest in the GenAI ecosystem and make recommendations for internal adoption.
• Collaborate with stakeholders to understand use cases, define solution architectures, and iterate prototypes into production-ready systems.
• Ensure responsible AI practices, including data privacy, model explainability, and

compliance.

Required Skills & Experience

• 6 to 7 years of overall industry experience with at least 1–2 years in Generative AI /LLM-focused projects.
• Strong understanding of Frontier LLMs and their application across domains.
• Hands-on experience in IDE’s such as Cursor
• Hands-on experience building Retrieval-Augmented Generation systems using vector databases (like FAISS, Weaviate, or Pinecone).
• Working knowledge of CrewAI, LangGraph, Autogen, or similar agent orchestration frameworks.
• Proficiency in Python, with experience using libraries like LangChain, Transformers, and OpenAI SDKs.
• Familiarity with API integrations, asynchronous task handling, and cloud-native

deployment (Azure).

• Excellent problem-solving and analytical skills.
• Strong written and verbal communication skills.

Preferred Qualifications

• Exposure to US Healthcare systems, data formats (FHIR, HL7), or domain-specific use cases is a plus.
• Experience in fine-tuning or evaluating LLMs using domain-specific corpora.
• Understanding of security and compliance requirements in regulated industries.

What We Offer

• Opportunity to work on cutting-edge AI projects with meaningful real-world applications.
• Collaborative and inclusive work culture.
• Flexible work environment and competitive compensation.

• Join us in shaping the future of AI-powered applications. If you are passionate about solving
• complex problems with elegant GenAI-driven solutions, we’d love to hear from you.

Required Education

• Bachelor’s degree in Computer Science, Electrical and Computer Engineering, Software
• Engineering, or Equivalent. An MS or PhD in such technical fields is very desirable

Compensation & Benefits

Welldoc offers a competitive compensation package, including generous PTO, pre-IPO stock options, and medical insurance