AI Engineer

Welldoc, Inc.; Bengaluru; On-site; INR 15,00,000 - 25,00,000; Full time

Job summary

A leading AI solutions firm based in Bengaluru is seeking a highly motivated AI Engineer to drive innovation in Generative AI. The candidate will have expertise in RAG pipelines and familiarity with Frontier Models. Responsibilities include designing scalable pipelines, collaborating with cross-functional teams, and ensuring responsible AI practices. Competitive compensation, including stock options and medical insurance, is offered to successful candidates.

Benefits

Generous PTO

Pre-IPO stock options

Medical insurance

Qualifications

• 6 to 7 years of overall experience, with at least 1–2 years in Generative AI.
• Hands-on experience in building Retrieval-Augmented Generation systems.
• Familiarity with API integrations and cloud-native deployment.

Responsibilities

• Design and implement scalable RAG pipelines.
• Evaluate and integrate Frontier LLMs and APIs for specific tasks.
• Collaborate with stakeholders to define solution architectures.

Skills

Hands-on expertise in RAG pipelines

Strong understanding of Frontier LLMs

Proficiency in Python

Problem-solving and analytical skills

Excellent written and verbal communication

Education

Bachelor’s degree in Computer Science or related field

MS or PhD in technical fields

Tools

Cursor

FAISS

Weaviate

Pinecone

LangChain

Transformers

OpenAI SDK

Job description

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 LLMs 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 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, 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.