Gen AI Developer Senior Consultant II

• Software Engineer Senior Consultant II implements applications following 12-factor principles to build out the product and iterative enhancements.
• They own the full stack of software products, developing and implementing frontends (web or mobile), and backend services.
• They leverage test driven development and continuous integration to ensure agility and quality of products.
• They actively participate in the decision-making process of the team ensuring that the simplest appropriate technology and design is chosen to meet user needs.

Skill

Exp

Location

Shift

Work from Office

Key Responsibilities

• Architect and build agentic AI systems capable of autonomous reasoning, planning, and execution.
• Develop multi-agent and hybrid agent architectures for complex problem-solving.
• Implement and orchestrate agents using frameworks like LangChain, LangGraph, CrewAI, AutoGen, or LlamaIndex.
• Integrate LLMs (e.g., OpenAI GPT, Claude, PaLM) for agent cognition and decision-making.
• Design and build RAG (Retrieval-Augmented Generation) pipelines using vector databases (Pinecone, ChromaDB, etc.).
• Construct multi-modal AI systems combining text, vision, audio, and external tools.
• Develop robust agent communication and collaboration protocols for coordinated autonomy.
• Implement human-in-the-loop controls and safety guardrails for agent actions.
• Lead technical teams and mentor engineers in advanced agentic AI practices.
• Translate business requirements into autonomous agent solutions and workflows.
• Establish MLOps pipelines, CI/CD, and observability for scalable agent deployment and monitoring.
• Deploy cloud-native and distributed architectures for high-availability agentic AI systems.
• Apply expertise in Python (mandatory), and proficiency with Java preferred.
• Drive the adoption of emerging agentic AI tools, and foster a culture of R&D, innovation, and continuous learning.

Primary Skills

• Generative AI