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
