Lead Application Developer - Agentic AI

Noblesoft Solutions
St. Petersburg, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

St. Petersburg, United States of America

Tech stack

Java
Automated Storage and Retrieval Systems
Continuous Integration
Python
Performance Tuning
Systems Integration
TypeScript
Workflow Management Systems
Large Language Models
Multi-Agent Systems
Model Validation
Containerization
Angular
Kubernetes
Production Code
Terraform
GPT
Dynatrace
Docker

Requirements

Proficiency in Java & Angular or Python (with experience in TypeScript, Go a plus).

  • Solid understanding of AWS architecture and services-deployment, monitoring, security, and cost optimization.

  • Familiarity with agentic or LLM frameworks such as Strands, CrewAI, LangGraph, Agent Core, or similar.

  • Experience with retrieval systems, vector databases, embeddings, and orchestration frameworks.

  • Strong grounding in secure API design, data modeling, and CI/CD automation.

  • Proven record of writing clean, testable, production-grade code.

  • Experience designing tool/function-calling integrations and Model Context Protocol (MCP) servers and connectors.

  • Strong prompt and context engineering, including agent memory, state, and session/context management.

  • Experience with agent and LLM evaluation, guardrails, and safety controls-hallucination mitigation, content filtering, and human-in-the-loop oversight.

  • Hands-on experience with foundation models via Amazon Bedrock (e.g., Anthropic Claude), including model selection and prompt/parameter tuning for latency and cost.

  • Familiarity with multi-agent orchestration and workflow design-planning, task decomposition, routing, tool use, and error handling.

  • Experience with containerization and orchestration (Docker, Kubernetes) for deploying scalable, resilient services.

  • Knowledge of Terraform for IaC deployments. Hands-on experience with Terraform is a plus.

  • OpenTelemetry for Dynatrace and Observability

  • Experience with agent performance tuning and cost optimization.

  • Experience with time-boxed A2A and Swarm/Crew Agentic solutions

  • Deploying large language models on-prem

  • Experience with fine-tuning LLMs - nice to have

  • Mindset: Deep curiosity, bias toward execution, and respect for precision and reliability.

  • Financial services experience preferred but not required.

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