AI Solution Engineer​/Python Developer _ Atlanta, GA​/Dallas, TX​/Mason, OH

AI Solution Engineer / Python Developer

Location:

Atlanta, GA / Dallas, TX / Mason, OH (Onsite role in any of these locations)

Duration:
July 30, 2026 – January 30, 2027 (6 Months)

Experience

Required:

4–8 Years

TCS is seeking a highly skilled AI Solution Engineer / Python Developer with strong expertise in Python, FastAPI, Lang Chain, Lang Graph, and Tesseract OCR to build AI‑powered, cloud‑native applications. The ideal candidate should have experience designing scalable microservices, integrating LLMs, developing AI workflows, and deploying secure, production‑ready AI solutions on AWS.

• Strong proficiency in Python
• Hands‑on experience with FastAPI
• Experience developing RESTful APIs
• Strong understanding of Microservices Architecture
• Experience with Asynchronous Processing

• Lang Chain
• Lang Graph
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval‑Augmented Generation (RAG)
• Embeddings
• Structured Outputs
• AI Agent Development
• Workflow Orchestration
• Tool/API Orchestration
• Intent Routing
• AI‑assisted Decision Flows
• OCR & Document Processing

• Tesseract OCR
• Document Scanning
• Text Extraction
• PDF Processing
• Image Processing
• Document Ingestion Pipelines

• AWS Lambda
• Amazon SQS
• Amazon SNS
• Cloud‑native Architecture
• Event‑driven Architecture
• API Management
• Apigee API Gateway
• API Proxy Development
• API Policies
• Routing
• OAuth Security
• KVMs
• API Products
• API Deployment
• Security
• AI Guardrails
• Prompt Injection Prevention
• PII/PHI Protection
• Response Validation
• Logging & Monitoring

• OpenAI
• Azure OpenAI
• Docker
• Vector Databases
• Embeddings
• Document Processing Pipelines
• Cloud Platforms

• Design, develop, and maintain scalable REST APIs using Python and FastAPI.
• Build and orchestrate LLM‑based AI workflows using Lang Chain and Lang Graph.
• Integrate Tesseract OCR for document scanning, text extraction, and preprocessing.
• Develop backend services for AI/ML‑driven applications.
• Build prompt workflows, AI agents, and state graphs for complex reasoning pipelines.
• Design cloud‑native, event‑driven microservices using AWS services.
• Develop secure API‑driven AI solutions using Apigee API Gateway.
• Collaborate with Data Scientists, ML Engineers, and Frontend Developers.
• Optimize APIs and AI processing pipelines for performance, scalability, and reliability.
• Perform unit testing, code reviews, and documentation.
• Implement AI security best practices, including guardrails, PII/PHI protection, prompt injection prevention, and monitoring.

• Python
• FastAPI
• Lang Chain
• Lang Graph
• Tesseract OCR
• REST APIs
• Microservices
• AWS Lambda
• Amazon SQS
• Amazon SNS
• Apigee API Gateway
• OAuth
• Prompt Engineering
• RAG
• Embeddings
• AI Agents
• Event‑driven Architecture

• OpenAI / Azure OpenAI
• Docker
• Vector Databases
• Document Processing
• Cloud Platforms

Bachelor’s or Master degree in Computer Science, Engineering, or a related field.

• Python
• FastAPI
• Lang Chain
• Lang Graph
• Tesseract OCR
• AWS
• Apigee
• Generative AI
• LLM Integration
• REST API Development
• Microservices
• AI Solution Engineering