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 youll 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 adherence to relevant regulations and compliance requirements.

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 IDEs 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, wed love to hear from you.

Required Education :

- Bachelors 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