AI Ml Engineer

AI Development Engineer Standalone AI App for Healthcare (E-Commerce experience is must)

About Us

AI/ML

Key Responsibilities

Standalone AI App Development

• Design and develop a

  standalone AI-powered application

  for online doctor consultations, encompassing features such as

  symptom checkers

  ,

  NLP-based chatbots

  ,

  personalized recommendations

  , and

  predictive analytics

  .
• Ensure seamless

  redirection and integration

  of the standalone app with the main platform.
• Collaborate with UX designers to create

  intuitive, user-friendly interfaces

  tailored for healthcare users.

LLM Integration & Development

• Develop AI-powered applications using

  state-of-the-art LLMs

  via APIs (OpenAI, Anthropic, etc.).
• Implement

  robust prompting strategies

  and optimize LLM interactions for specific healthcare use cases.
• Create middleware to handle

  API rate limiting, caching, and cost optimization

  .
• Develop conversation handling and

  context management

  for interactive, chat-based user experiences.

Application Development

• Build and maintain

  scalable web and mobile applications

  using Python frameworks such as

  Fast API/Django

  .
• Design and implement

  RESTful APIs

  for AI service integration.
• Develop efficient

  data processing pipelines

  for managing LLM inputs and outputs.
• Implement error handling, fallback mechanisms, and ensure

  security best practices

  in handling sensitive healthcare data.

Architecture & Infrastructure

• Design

  secure system architectures

  to integrate AI capabilities into standalone applications.
• Optimize application performance, manage LLM API costs, and ensure

  scalability

  .
• Set up

  monitoring and logging systems

  to track API usage and app performance.

Collaboration & Documentation

• Work closely with product managers to define technical requirements for AI features.
• Collaborate with UX/UI teams to ensure

  seamless user experiences

  .
• Document APIs, prompting strategies, system architectures, and best practices.
• Mentor junior developers in AI/ML and app development.

Requirements

Technical Skills

• 5+ years

  of experience in software development using Python.
• Strong proficiency in

  Fast API or Django frameworks

  .
• Proven experience in

  app development

  (web or mobile), preferably standalone applications.
• Expertise in working with

  LLM APIs

  (OpenAI, Anthropic, etc.).
• Solid understanding of

  RESTful API design

  and integration.
• Familiarity with

  cloud platforms

  (AWS/GCP/Azure) and

  container technologies

  (Docker, Kubernetes).

AI/ML Knowledge

• Deep understanding of

  LLM capabilities

  , limitations, and optimization techniques.
• Experience with

  prompt engineering

  ,

  embedding technologies

  , and

  vector databases

  .
• Knowledge of

  AI safety

  and

  ethical considerations

  , particularly in healthcare.

Other Qualifications

• Bachelors degree in

  Computer Science, Software Engineering

  , or a related field.
• Proven track record of delivering

  production-ready AI applications

  .
• Excellent problem-solving, analytical, and communication skills.
• Familiarity with

  agile development methodologies

  .
• Experience with healthcare platforms or

  health tech compliance standards

  (HIPAA, GDPR) is a strong plus.

What We Offer

• Competitive salary package.
• Health and wellness benefits.
• Professional development budget.
• Conference attendance opportunities.
• Performance bonuses.
  

Why Join Us?

• Be part of a high-impact team working on innovative and exciting projects.
• Competitive salary and benefits package to ensure your well-being.
• Opportunities for growth and skill development in a dynamic and collaborative environment.
  

How to Apply

• Primary Email

  : ankitha.reddy@ekshvaku.com

• CC:

  sreemith.kushal@ekshvaku.com, nohita.tammareddy@ekshvaku.com