AI Engineer - Conversational AI & Application Development

0 years

6 - 96 Lacs

Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Contractual

Job Description

Position Overview
We are seeking a talented and collaborative AI Engineer to join our innovative team, with a focus on designing, developing, and deploying advanced conversational AI agents and applications. This role is perfect for an organized, out-of-the-box thinker passionate about driving meaningful change in healthcare. You will work with cutting-edge multi-agent orchestration frameworks like LangGraph, AutoGen, CrewAI, and Google’s Agent Developer Kit (ADK), while leveraging the power of Google Cloud Platform (GCP) for scalable solutions. If you're excited about combining software engineering with modern AI to enhance healthcare experiences, this is your chance to make a real impact.Role SummaryAs an AI Engineer specializing in Conversational AI & Application Development, you will build sophisticated multi-agent systems that power intelligent interactions. You'll collaborate across teams to create user-centric AI solutions, ensuring seamless integration, high performance, and observability. Hands-on experience with agentic systems and frameworks is essential, as you'll contribute to the full software development lifecycle in a fast-paced, healthcare-focused environment.Key Responsibilities
  • Design and build multi-agent conversational systems using frameworks such as LangGraph, AutoGen, CrewAI, ADK, or similar tools.
  • Collaborate with product managers, designers, and engineers to define user journeys, agent capabilities, and integration points.
  • Develop robust, scalable backend services and APIs using Python (FastAPI, Flask, Django), Java (Spring Boot), Node.js (Express, NestJS), or Go (Gin, Fiber).
  • Implement advanced Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and LLM fine-tuning for intent recognition, entity extraction, and dynamic dialogue management.
  • Deploy and manage conversational workloads on GCP services like Cloud Run (serverless) and Google Kubernetes Engine (GKE), adhering to DevOps best practices and IAM for secure access.
  • Utilize BigQuery for large-scale data analytics to train, evaluate, and refine ML models and conversational metrics.
  • Create interactive dashboards in Power BI or Tableau to visualize KPIs, model performance, and business insights.
  • Integrate AI agents with enterprise systems (e.g., databases, CRMs, ERPs) and third-party APIs.
  • Establish observability, evaluation, and monitoring for agent performance (e.g., latency, accuracy, hallucination rates) using tools like Arize Phoenix, Langfuse, and LangSmith.
  • Participate in the full software development lifecycle, from requirements gathering and architecture to coding, testing, CI/CD, deployment, and maintenance.
  • Troubleshoot and resolve production issues to maintain high availability and optimal performance.
  • Document technical designs, decisions, and model specifications for cross-functional teams.

Required Qualifications And Skills

  • Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
  • Technical Expertise:
    • Hands-on experience with agentic systems, including design patterns and code-based frameworks for building and deploying autonomous or conversational agents (must-have).
    • Proficiency in backend languages and frameworks: Python (FastAPI, Flask, Django), Java (Spring Boot), Node.js (Express, NestJS), or Go (Gin, Fiber).
    • Experience building RESTful or GraphQL APIs and designing microservices.
    • Solid understanding of machine learning fundamentals: supervised/unsupervised learning, evaluation metrics, and feature engineering.
    • Familiarity with modern NLP libraries (e.g., spaCy, Haystack, Hugging Face Transformers, LlamaIndex).
    • Strong version control practices (Git, trunk-based development) and CI/CD pipelines.
  • Soft Skills: Excellent problem-solving, communication, and collaboration abilities; passion for continuous learning and adapting to emerging AI technologies.
  • Experience: Proven track record in software engineering with AI/ML components, ideally in conversational or agent-based systems.

Preferred Qualifications

  • Hands-on experience creating and deploying production-grade AI chat agents or virtual assistants.
  • Working knowledge of LangGraph, AutoGen, CrewAI, ADK, or similar agent orchestration frameworks.
  • Experience with Large Language Models (e.g., Gemini, GPT-4, Claude, Mistral) and vector databases (e.g., Weaviate, Chroma, Pinecone).
  • Deep expertise in Google Cloud Platform (GCP):
    • BigQuery for analytical workloads and feature stores.
    • Cloud Run for scalable microservices.
    • Google Kubernetes Engine (GKE) for container orchestration.
    • Identity and Access Management (IAM) for secure access control.
  • Business intelligence skills in Power BI or Tableau for dashboards and reports.
  • Familiarity with other cloud providers (AWS, Azure) and their AI/ML services.
  • Knowledge of MLOps practices (e.g., model registry, continuous training, drift monitoring) and LLM observability tools (e.g., Arize Phoenix, Langfuse, LangSmith).
  • Database proficiency in SQL (e.g., PostgreSQL, BigQuery) and NoSQL (e.g., Firestore, DynamoDB).
  • Contributions to open-source AI/ML projects, technical blogging, or presentations.
What We Offer
  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth in a collaborative, innovative team dedicated to healthcare transformation.
  • Access to state-of-the-art tools and technologies, with flexible work arrangements.
If you are a forward-thinking AI Engineer eager to innovate in healthcare, apply now with your resume and a cover letter highlighting your experience with agentic systems. We can't wait to hear from you!
Skills: application,software,google,agents,healthcare,learning,cloud,ml,access,adk

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