AI Agent Engineer
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Job Title: AI Agent Engineer
Role Overview :-
You will work closely with the Tech Lead to design, build, test, and maintain AI agents for US-based clients. This is a hands-on engineering role where you will write Python code daily, deploy solutions quickly, and take ownership of performance, monitoring, and continuous improvement.
As the company scales, you will have the opportunity to lead client engagements within 12–18 months.
Key Responsibilities
Build and deploy AI agent workflows in Python using Claude API under Tech Lead guidance
Integrate AI agents with client systems such as insurance platforms, HR systems, and financial databases
Monitor live agents daily and proactively resolve issues before impacting clients
Develop performance dashboards to track and report agent activity and outcomes
Test edge cases thoroughly (e.g., missing data, API failures, unexpected inputs)
Continuously improve prompts and workflows as client data evolves
Ensure high reliability, accuracy, and performance of deployed solutions
Required Qualifications
3+ years of hands-on experience in Python development
Experience working with REST APIs (integration, error handling, response management)
Basic understanding of LLMs (prompts, responses, context handling)
Experience with cloud platforms (any cloud provider)
Strong problem-solving skills with attention to detail
Ability to learn by building and experimenting
Preferred Skills (Good to Have)
Experience with LangChain or similar LLM frameworks (including personal projects)
Familiarity with logging, monitoring, and alerting systems
Exposure to domains like insurance, HR tech, or financial services
Experience building or deploying AI/ML-based applications
Ideal Candidate Profile
Curious about AI and actively experiments with tools like Claude or LLMs
Focused on code quality and real-world performance, not just execution
Comfortable working in a fast-paced, ownership-driven environment
Values visibility, impact, and growth in their role
Growth Path
Opportunity to lead client-facing AI projects within 12–18 months
Increased ownership of architecture, delivery, and client engagement
Job ID: 152144779
Skills:
Python, vector stores, LLMs, prompt management, evaluation frameworks, observability tooling, agent frameworks
Skills:
Golang, Data Modeling, Workato, Azure Functions, Javascript, Rest Apis, Python, AWS Lambdas, iPaaS automation, context engineering, prompt engineering, ServiceNow Flow Designer, API based systems integration, LLM-based systems design
Skills:
Node, Typescript, Postgres, LangChain, evaluation datasets, tracing, LLM agents, AWS Bedrock, LangGraph, OpenTelemetry, Langfuse, evaluation pipelines, Instrumentation, serverless AWS, LLM observability
Skills:
Python, evaluation frameworks, prompt management, observability tooling, vector stores, AI agents
Skills:
Databricks, Payment Gateways, Security Controls, Typescript, Distributed Systems, Python, Docker, Git, auditability, Crm Systems, large language models, AI governance, AI frameworks, testing strategies, ticketing platforms, vector databases, monitoring frameworks, data platforms, observability practices, evaluation methodologies, data lakes, privacy requirements, cloud-native deployments
