AI Engineer
Indianapolis, IN · On-site
$70K - $80K/yr
... backend development FastAPI + Flask, async patterns, Pydantic models. Production-grade services on Kubernetes with proper error handling, retries, and typed contracts between layers. LLM ...
AI Engineer
Indianapolis, IN · On-site
$70K - $80K/yr
... backend development FastAPI + Flask, async patterns, Pydantic models. Production-grade services on Kubernetes with proper error handling, retries, and typed contracts between layers. LLM ...
Senior AI Engineer
Indianapolis, IN · On-site
$100K - $150K/yr
... backend development FastAPI + Flask, async patterns, Pydantic models. Production-grade services on Kubernetes with proper error handling, retries, and typed contracts between layers. LLM ...
Senior AI Engineer
Indianapolis, IN · On-site
$100K - $150K/yr
... backend development FastAPI + Flask, async patterns, Pydantic models. Production-grade services on Kubernetes with proper error handling, retries, and typed contracts between layers. LLM ...
Build and operate backend services (FastAPI/Flask) deployed on Kubernetes with CI/CD, managing the ... limiting, and data contracts * Instrument and monitor AI systems in production - build ...
Build and operate backend services (FastAPI/Flask) deployed on Kubernetes with CI/CD, managing the ... limiting, and data contracts * Instrument and monitor AI systems in production - build ...
Contract Fastapi information
What is the difference between Contract Fastapi vs Contract Python Developer?
| Aspect | Contract Fastapi | Contract Python Developer |
|---|---|---|
| Required Credentials | Proficiency in Fastapi, Python, REST APIs | Proficiency in Python, frameworks like Django or Flask |
| Work Environment | Remote or on-site, API development projects | Remote or on-site, software development projects |
| Industry Usage | Web services, microservices, backend APIs | Web applications, data processing, backend systems |
| Common Search Intent | Fastapi-specific contract roles | Python contract roles with broader frameworks |
Contract Fastapi roles focus specifically on developing APIs using Fastapi, requiring expertise in this framework. Contract Python Developer roles are broader, involving Python programming across various frameworks like Django or Flask. Both roles often work in similar environments but differ in technical focus and project scope.
What are the most commonly searched types of Fastapi jobs in Indiana? The most popular types of Fastapi jobs in Indiana are:
What are popular job titles related to Contract Fastapi jobs in Indiana? For Contract Fastapi jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Contract Fastapi jobs in Indiana look for? The top searched job categories for Contract Fastapi jobs in Indiana are:
What cities in Indiana are hiring for Contract Fastapi jobs? Cities in Indiana with the most Contract Fastapi job openings:
$70K - $80K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 26 days ago
Job description
Must Have Technical/Functional Skills
Design, build, and maintain a multi-tier AI agent platform that connects LLMs to real-world enterprise systems (CRM, Salesforce, ServiceNow, SFMC etc.). Bridge the gap between raw LLM capabilities and production business workflows translating business intent into reliable, scalable agent infrastructure
Roles & Responsibilities
Python backend development FastAPI + Flask, async patterns, Pydantic models. Production-grade services on Kubernetes with proper error handling, retries, and typed contracts between layers.
LLM orchestration prompt engineering, session/context management, multi-agent patterns, tool use (MCP servers). Keep agents grounded, scoped, and auditable across multi-step workflows.
React/frontend basics enough to read, debug, and wire service calls. Trace request-response through a component without being the one who styled it.
Cloud infrastructure AWS S3, Secrets Manager, ECR , ECS , ALB , environment-based config, basic DevOps.
Enterprise API integrations OAuth flows, REST/SOAP.
Systems thinking Trace data across 3+ loosely-coupled services, anticipate failure points before they hit production, and debug cross-service issues methodically rather than by instinct.
Salary Range: $70,000- $80,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
#LI-DNI
Design, build, and maintain a multi-tier AI agent platform that connects LLMs to real-world enterprise systems (CRM, Salesforce, ServiceNow, SFMC etc.). Bridge the gap between raw LLM capabilities and production business workflows translating business intent into reliable, scalable agent infrastructure
Roles & Responsibilities
Python backend development FastAPI + Flask, async patterns, Pydantic models. Production-grade services on Kubernetes with proper error handling, retries, and typed contracts between layers.
LLM orchestration prompt engineering, session/context management, multi-agent patterns, tool use (MCP servers). Keep agents grounded, scoped, and auditable across multi-step workflows.
React/frontend basics enough to read, debug, and wire service calls. Trace request-response through a component without being the one who styled it.
Cloud infrastructure AWS S3, Secrets Manager, ECR , ECS , ALB , environment-based config, basic DevOps.
Enterprise API integrations OAuth flows, REST/SOAP.
Systems thinking Trace data across 3+ loosely-coupled services, anticipate failure points before they hit production, and debug cross-service issues methodically rather than by instinct.
Salary Range: $70,000- $80,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
#LI-DNI