AI engineer for agentic systems

We are seeking a AI Engineer to transition our AI capabilities from “prototype” to “production.” In this role, you will not just experiment with models; you will architect robust Agentic Systems that can plan, reason, and execute complex workflows autonomously for a wide variety of business user needs while experimenting with cutting-edge models and tools to push the boundaries of what’s possible.

• Architect complex, multi-agent workflows using Microsoft AI tech stack.
• Design, Develop and Deploy agents to handle loops, interruptions, and human-in-the-loop interventions.
• Build reliable “tool layers” that allow LLMs to safely interact with internal APIs, databases, and third-party SaaS platforms (e.g., SalesForce, Workday, ServiceNow etc.)
• Design persistence layers to manage agent memory, conversational history, and context windows efficiently.
• Build production-grade data retrieval and integration systems.
• Optimize vector indexing, document chunking, and re-ranking algorithms to ensure high-precision context retrieval.
• Collaborate with Data Engineers to curate “Golden Datasets” for agent consumption
• Build CI/CD pipelines for AI that include “LLM-as-a-Judge” testing.
• Leverage frameworks to score agent outputs for accuracy, hallucination, and safety before deployment.
• Instrument applications with tracing tools to visualize agent reasoning chains, monitor latency, and debug failures in production.
• Monitor token usage and latency, optimizing prompt density and caching strategies to maintain high performance at sustainable costs.
• Rapidly validate new ideas using state-of-the-art models, then refactor successful prototypes into maintainable, tested production code.
• Stay ahead of the curve by evaluating emerging technologies to standardize agent connectivity.

• Bachelor’s degree and 5 years of software engineering experience, with exposure to AI/ML applications OR 9 years of software engineering experience, with exposure to AI/ML applications.
• Strong hands-on experience with Python for AI/LLM application development.
• Hands-on experience designing and building AI agents / Agentic AI solutions.
• Experience integrating and working with LLM model APIs (e.g., OpenAI, Azure OpenAI, Anthropic, Gemini).
• 2+ years specifically building with LLMs, with deep familiarity in:
• LangChain, LangGraph, or similar state-based frameworks.
• Pinecone, Weaviate, or pgvector.
• Advanced techniques (Chain-of-Thought, ReAct, Few-Shot).
• Experience not just building demos, but operating them.
• You know how to handle rate limits, context window overflows, and non-deterministic errors.
• Ability to explain “probabilistic software” to non-technical stakeholders—managing expectations that agents are never 100% accurate, but can be 100% useful.
• Excellent communication skills, with experience in documenting technical designs, sharing insights, and enabling team knowledge transfer.

• By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results.
• That’s why we offer a range of benefits that support your well-being and charge your professional growth.