Agentic AI Engineer & Python Software Engineer (2 Positions)

Innovim Technology Solutions (Ohio, USA) Follow 6 hours ago

POSITION -1

Title: Agentic AI Engineer
Location: Pittsburgh, PA, Dallas, TX OR Cleveland, OH (5 days Onsite) - Local to any of these locations
Employment Type: Full Time

Your future duties and responsibilities:

Build AI agents capable of reasoning, planning, memory management, and autonomous task execution
Should have hands on workflow configuration in Azure Foundry/AWS Bedrock
Implement prompt engineering, agent orchestration, and tool-calling mechanisms
Develop multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic Kernel
Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses
Develop scalable backend services and APIs to support AI agent operations
Monitor agent performance, reliability and response quality
Ensure responsible AI practices including security, governance, observability, and compliance
Collaborate with data engineers, software developers, and business teams to deliver AI-driven automation solutions

Required qualifications to be successful in this role:

Candidate should be good in AI Agents automation development process using Azure/AWS
At least 2+ years in software development with Agentic AI implementation experience
Must be strong in Azure Foundry/AWS Bedrock related agentic automation implementation
Excellent in development using Python, SQL, Pandas
Good exposure to agile testing process
Should have excellent communication skills to interact with stakeholders

Skills:

Agentic AI 3 years
AWS Amazon Bedrock 2 years
Azure 1 year
GIT 2-3
Jira 4+ years
Python 9+ years
SQL 5+ years

POSITION -2

Title: Software Engineer (Python)
Location: Pittsburgh, PA, Cleveland, OH, or Dallas, TX (5 days Onsite) Only Locals
Employment Type: Full Time

Client is seeking a Software Engineer with 8+ years of hands-on experience building, deploying, and operating applications and platform capabilities on Kubernetes/OpenShift. The ideal candidate is proficient in Python, experienced with CI/CD pipeline development, bitbucket and can implement and maintain Policy as Code to enforce governance, security, and compliance across container platforms.

You will collaborate with engineering, platform, SRE, and security partners to automate delivery workflows, strengthen reliability and controls, and enable teams to ship software safely and efficiently.

Skills:

Bitbucket
GIT
Python

Your future duties and responsibilities:

Design, develop, and maintain Python-based services, automation tools, and platform utilities supporting containerized workloads.
Build and enhance CI/CD pipelines for automated build, test, security scanning, deployment, and release orchestration.
Deploy, operate, and troubleshoot applications on Kubernetes/OpenShift, including configuration, scaling, upgrades, and runtime issues.
Implement Policy as Code to enforce standards (security, networking, resource controls, image provenance, RBAC, etc.) and prevent configuration drift.
Integrate DevSecOps controls: SAST/DAST, container image scanning, SBOM generation/validation, secrets detection, and compliance checks into pipelines.
Create and maintain infrastructure/platform artifacts such as:
Kubernetes manifests (Deployments, Services, Ingress/Routes, ConfigMaps, Secrets)
Helm charts and/or Kustomize overlays
OpenShift resources (Projects/Namespaces, Routes, SCCs, Operators as applicable)
Improve platform reliability through monitoring/alerting integration and root cause analysis (RCA) for production issues.
Contribute to engineering standards and documentation (runbooks, SOPs, onboarding guides).
Participate in code reviews, design reviews, and agile ceremonies; communicate risks, tradeoffs, and implementation details clearly.

Required qualifications to be successful in this role:

8+ years of professional software engineering experience.
Platform Maintenance Requirements
Strong Python development experience (APIs, automation, scripting, packaging, unit testing).
Experience administering Apache httpd, including mod_proxy, mod_rewrite, and OIDC authentication modules.
Experience configuring Azure EntraID application registrations, client credentials, OAuth2/OIDC endpoint integration, and API permissions - including integrating EntraID as an identity provider into web applications via OIDC.
Preferred - Familiarity with JupyterHub, Apache Airflow, and MLflow in a containerized environment.
Preferred - Working knowledge of Apache Spark standalone cluster deployment and configuration
Preferred Basic React/JavaScript familiarity for maintaining portal UI assets.
Hands-on Kubernetes/OpenShift experience, including deploying and troubleshooting workloads.
Experience building CI/CD pipelines (e.g., Jenkins, UDeploy).
Experience with Policy as Code concepts and tooling, such as:
Static Security Analysis (SAST), Interactive Security Testing (IAST)
Policy testing/validation and policy lifecycle management
Solid understanding of:
Git-based workflows, branching strategies, and pull request reviews
JIRA, Confluence
Linux fundamentals, networking basics, and troubleshooting in distributed systems
Working knowledge of security best practices: RBAC, least privilege, secrets management, and secure SDLC.