Apply at our Platform :
Position : AI Engineer
Experience : 4+ years
Location : Pune (Hybrid)
Availability : Immediate Joiners Preferred
Technical Skills : AWS Bedrock,ETL pipelines,SQL / NoSQL databases,APIs,AI / ML
Client : HealthCare Company with office in Pune and Product deployed in US.. A very successful company with 300% Growth every year
About Us
We are a fast-scaling Indian product company building an enterprise-grade platform for
the US behavioral health market. With a strong product-market fit and growing demand
from large enterprise customers, we’re now expanding our AI capabilities. We’re looking
for an experienced AI Engineer to design, build, and optimize AI-powered solutions that
enhance workflows, intelligence, and automation across our platform—particularly
through agentic workflows powered by LLMs deployed via AWS Bedrock and other
modern AI infrastructure.
Key Responsibilities
- Design, develop, and deploy AI / ML models and pipelines to support product
features and internal automation needs
Build and integrate agentic workflows that allow AI agents to operate acrossmultiple systems, take actions, and orchestrate end-to-end processes within our
SaaS platform
Leverage AWS Bedrock and other cloud-native AI platforms to deploy and scaleLLMs in production environments
Work closely with product managers, engineers, and business analysts to translatecustomer workflows into AI-powered solutions
Fine-tune and optimize LLMs and other generative AI models for domain-specificuse cases in behavioral healthcare
Develop AI agents and services that improve efficiency in documentation, claims,credentialing, and patient management workflows
Collaborate with data engineering teams to ensure high-quality, structureddatasets for training and evaluation
Evaluate, benchmark, and integrate third-party AI APIs and tools where beneficialMonitor model performance in production, ensuring reliability, scalability, andcompliance with US healthcare requirements
Implement guardrails, prompt engineering techniques, and responsible AI practicesto deliver safe, accurate, and explainable outputs
Partner with QA and DevOps to ensure robust testing, deployment, and monitoringof AI features
Stay updated on the latest advancements in AI / ML and proactively suggestapplications relevant to healthcare SaaS
Requirements
4+ years of experience in AI / ML engineering, with at least 2+ years hands-onexperience deploying models in production environments
Strong programming skills in Python and familiarity with frameworks like PyTorch,LangChain or similar.
Experience building AI agentic workflows (multi-step reasoning, tool use, actionexecution) in real-world applications
Hands-on experience with AWS Bedrock, SageMaker, or other cloud-native AI / MLservices
Experience with fine-tuning and deploying large language models (LLMs) orgenerative AI solutions
Solid understanding of NLP, information retrieval, embeddings, and promptengineering
Experience working in enterprise SaaS environments; familiarity with healthcare orinsurance domains is a strong plus
Understanding of data engineering concepts (ETL pipelines, SQL / NoSQL databases,APIs, cloud data storage)
Ability to balance research and experimentation with pragmatic product-drivenimplementation
Excellent problem-solving skills and strong collaboration across cross-functional,globally distributed teams
Based in Pune and open to hybrid work (2–3 days / week onsite)Immediate joiners highly preferredWhat We Offer
Opportunity to apply cutting-edge AI and agentic workflows on AWS Bedrock totransform behavioral healthcare in the US
Transparent and collaborative work culture with direct access to leadershipHigh-ownership role with scope to shape AI strategy and product innovationHybrid flexibility and competitive compensation based on experience and skillsHR will share additional benefits