AI Engineer

Senior Software Developer

Seeking a Senior Software Developer with deep expertise and hands-on experience building AI driven and agentic automation solutions. The ideal candidate has experience with LangGraph, IBM Watsonx Orchestrate, and Google Vertex AI, and can design scalable services that incorporate advanced reasoning, workflow orchestration, and multi-agent systems.

Machine Learning & Deep Learning – Understanding AI models, neural networks, and reinforcement learning

Natural Language Processing (NLP) – Developing AI systems that interpret and generate human language

Multi-Agent Systems – Understanding how AI agents collaborate, negotiate, and operate independently

Cloud Computing & AI Deployment – Experience with AWS, Google Cloud, or Azure to deploy AI models

Robotics Process Automation (RPA) – Designing AI-driven bots that execute repetitive tasks autonomously

Proficient in coding and programming languages like Java, Python

Experience with WatsonX Platform (Assistant, AI, Orchestrate etc) is a plus.

Soft Skills

Critical Thinking – Ability to analyze complex AI outputs and improve models

Ethical Reasoning – Ensuring AI applications follow ethical and unbiased decision-making

Problem-Solving – Ability to handle unexpected AI behaviors and optimize performance

Collaboration – Working across teams to integrate AI systems seamlessly into businesses

Critical thinking and problem-solving are essential skills in the era of agentic AI, where professionals must evaluate complex situations and make reasoned decisions under uncertainty.

Required Qualifications: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field.

- 5+ years Experience with Java or Python

- 5+ years Strong experience in AI/ML.

2 years Chatbot development & IBM WatsonX experience is a plus.

Desired Skills: LangGraph (graphs, tool-nodes, memory/state, streaming agents), IBM Watsonx Orchestrate (skills, connectors, process automation), Google Vertex AI (Gemini, RAG, Vector Search, embeddings, safety), Knowledge of vector databases (PGVector, Vertex Matching Engine, Pinecone), Familiarity with Kafka or Pub/Sub eventing patterns. Observability stacks: OpenTelemetry, Prometheus/Grafana, Elk/Cloud Logging, Infrastructure-as-code (Terraform), GitHub Actions, Cloud Build.