Java | Agentic AI

Career Path Solutions Private Limited; India; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Career Path Solutions Private Limited is seeking an experienced software engineer with expertise in Java or Python and hands-on AWS cloud services to drive AI-enabled solutions pan-India. The role emphasizes practical AI/ML implementation, model evaluation, and production deployment.

The candidate should have strong CS fundamentals, experience with AI frameworks, MLOps practices, and the ability to design scalable APIs for model inference.

Qualifications

• Software development experience with Java or Python and AWS cloud services.
• Hands-on AI/ML concepts including supervised/unsupervised learning and data preprocessing.
• Experience integrating AI/ML models into production systems using frameworks like TensorFlow or PyTorch and MLOps.
• Familiarity with AI-driven system design, APIs for model inference, and scalable deployment.
• Strong CS fundamentals and knowledge of OOP and modern software design patterns.

Responsibilities

• Design and implement AI-enabled software across distributed systems.
• Integrate AI/ML models into production pipelines with scalable deployment.
• Collaborate with teams to build agentic AI driven applications and services.

Skills

Java

Python

Scala

Spark

AWS

CI/CD

Agentic AI usage

RAG

Langgraph

Vectors

Tools

Docker

Maven/SBT

Kafka

Job description

Java/ Agentic AI:- Pan India

Experience: 7+ : Please make note of skillsets for FFW Team : Java, Scala, Python, spark, AWS, CICD, Agentic AI usage, RAG, Langgraph, vectors etc.

Job De ion:

Software development experience, with significant expertise in Java or Python and hands-on experience with AWS cloud services.

• Hands-on experience or strong understanding of AI/ML concepts, including supervised/unsupervised learning, model evaluation, and data preprocessing.


• Experience integrating AI/ML models into production systems using frameworks/libraries such as TensorFlow, PyTorch, or similar, and exposure to MLOps practices.


• Familiarity with AI-driven system design, including APIs for model inference, real-time vs batch predictions, and scalable model deployment.


• Deep understanding of fundamental computer science concepts, including Data Structures, Algorithms, and Object-Oriented Programming (OOP) design principles.


• Solid grasp of functional programming concepts and modern software design patterns.


• Considerable experience with and understanding of enterprise architecture paradigms.


• Proven ability in full-stack architecture design and application development.


• Strong analytical, creative problem-solving, and diagnostic skills.


• Excellent communication and collaboration abilities.

Preferred Qualifications:

• Experience with containerization (Docker), build tools (Maven/SBT), and CI/CD pipelines.


• Exposure to data engineering or big data tools (Spark, Kafka) supporting AI pipelines.


• Experience with LLM-based applications, prompt engineering, or generative AI use cases is a plus.