AI Engineer

What You Will Do
API Design and Development: Utilizing Node.js for high-concurrency, real-time serving layers and Python for heavy data parsing, machine learning logic, and agent reasoning loops.
Agent Design: Architecting Sense-Think-Act loops utilizing advanced reasoning frameworks like ReAct, Plan-and-Solve, and Reflection to let agents independently navigate multi-step objectives.
Deterministic Tool & Function Calling: Engineering reliable agentic tool usage by mapping LLMs to Python/Node.js functions, ensuring precise parameter parsing and strict error-handling guardrails.
Stateful Multi-Agent Orchestration: Designing distributed, multi-agent systems with LangGraph or CrewAI to delegate specialized tasks (e.g., researcher, writer, validator) across collaborating AI personas.
Memory & Context Management: Implementing short-term (scratchpad/bufer) and long-term (vector database/episodic) memory structures to maintain coherent, deep-context agent interactions over extended sessions.
Production-Grade AI Evaluation: Proficient in setting up continuous evaluation pipelines measuring faithfulness, answer relevance, and factual correctness to ensure LLM outputs meet strict KPIs before deployment.
Robust Test-Driven AI: Combining traditional unit testing for API endpoints and custom Python tools with modern LLM evaluation frameworks to prevent regression in agentic behavior.
Financial Precision: Deep understanding of testing Human-in-the-Loop workflows, complex reconciliation logic, and exception-clearing AI where accuracy is non-negotiable.
Core Technical Skills

• Back-End Development: Advanced Node.js, Python, Fast API.
• AI Agent Orchestration: LangChain, LangGraph, Google ADK and smolagents.
• API & Integration: RESTful API design, OAuth, and External inference APIs.
• AI Engineering: Prompt engineering, RAG (Retrieval-Augmented Generation), function calling, and agentic tool usage.
• Testing & AI Evaluation: Unit testing (Jest/PyTest), agent evaluation frameworks (DeepEval, Ragas, TruLens), and LLM guardrails.
• Data & DevOps: SQL/NoSQL databases, Docker, uv package manager, and distributed tracing (Jaeger/Tempo).

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• Experience: 3-6 years
  

Why Join CredServ
You will be defining how global supply chains and enterprises evaluate and trust Artificial
Intelligence. If you want to work at the bleeding edge of Next-Gen Automation, Voice AI, and B2B
trade, this is your place.

• Competitive Salary & Equity
• Comprehensive Health & Wellness Benefits