
▷ Apply Now: Artificial Intelligence Engineer
1 week ago
Apply at our Platform : https://recrui8.com/jobs/f3715d65-f88d-4f31-a696-fc941d9143d1
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 across
multiple 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 scale
LLMs in production environments
• Work closely with product managers, engineers, and business analysts to translate
customer workflows into AI-powered solutions
• Fine-tune and optimize LLMs and other generative AI models for domain-specific
use 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, structured
datasets for training and evaluation
• Evaluate, benchmark, and integrate third-party AI APIs and tools where beneficial
• Monitor model performance in production, ensuring reliability, scalability, and
compliance with US healthcare requirements
• Implement guardrails, prompt engineering techniques, and responsible AI practices
to deliver safe, accurate, and explainable outputs
• Partner with QA and DevOps to ensure robust testing, deployment, and monitoring
of AI features
• Stay updated on the latest advancements in AI/ML and proactively suggest
applications relevant to healthcare SaaS
Requirements
• 4+ years of experience in AI/ML engineering, with at least 2+ years hands-on
experience 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, action
execution) in real-world applications
• Hands-on experience with AWS Bedrock, SageMaker, or other cloud-native AI/ML
services
• Experience with fine-tuning and deploying large language models (LLMs) or
generative AI solutions
• Solid understanding of NLP, information retrieval, embeddings, and prompt
engineering
• Experience working in enterprise SaaS environments; familiarity with healthcare or
insurance 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-driven
implementation
• 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 preferred
What We Offer
• Opportunity to apply cutting-edge AI and agentic workflows on AWS Bedrock to
transform behavioral healthcare in the US
• Transparent and collaborative work culture with direct access to leadership
• High-ownership role with scope to shape AI strategy and product innovation
• Hybrid flexibility and competitive compensation based on experience and skills
• HR will share additional benefits
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