Agentic AI Automation Engineer

Role:

Agentic AI Automation Engineer Duration:

6

Months Location:

Alpharetta, GA Onsite from Day 1 (5 days a week) Experience required: 10+ years, Agentic AI and python and who has done Automation and Gen AI exp Key Responsibilities Build and enhance AI-assisted operational tools such as guided intake, knowledge-grounded Q&A, case/ticket summarization, and runbook execution support. Implement agentic workflows with clear guardrails: input validation, policy-aware prompting, approval steps, fallbacks, and safe failure modes. Integrate AI capabilities with internal services and data sources through approved APIs; collaborate with platform teams to onboard integrations. Develop retrieval and grounding approaches (e.g., RAG) to ensure responses are based on approved knowledge sources with proper access controls. Create and maintain automated evaluations (quality, groundedness, safety), plus telemetry for monitoring performance, cost, and reliability. Contribute to code reviews, unit/integration tests, CI/CD, and operational readiness (documentation, alerts, runbooks). Partner with operations SMEs, product owners, risk, and security to refine requirements and ensure compliant delivery. Required Qualifications Bachelor s degree in Computer Science, Engineering, or equivalent practical experience. 2+ years of software engineering experience building production services or applications. Demonstrated experience implementing LLM-powered features (prompting, tool/function calling, RAG, agent/workflow orchestration). Proficiency in at least one of: Python, Java, or TypeScript; ability to work with REST APIs and event-driven patterns.

Strong engineering fundamentals:

data structures, debugging, testing, and secure coding practices. Experience handling sensitive data responsibly and applying least-privilege access and secure SDLC practices. Qualifications Experience supporting operational workflows (service management, onboarding operations, incident/change processes). Familiarity with search/retrieval systems, ranking, and content chunking/embedding strategies. Experience with observability (logs/metrics/traces) and operational support for production services. Knowledge of Responsible AI practices (privacy, bias, safety, transparency) and implementing human-in-the-loop controls. Experience working in regulated environments (financial services a plus). Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.