Tata Consultancy Services
Python Full Stack Engineer
– Tata Consultancy Services
Experience 5+ Years
Qualifications
Python developer with DB experience.
Design, implement, and optimize Python-based orchestration frameworks for multi-agent AI systems using tools like LangGraph, LangChain, and FastAPI.
Develop robust async architectures to support concurrent reasoning, tool use, and long-running workflows across distributed compute environments.
Integrate LLMs with MCP servers, vector databases, and observability systems for adaptive agent behavior.
Ensure reliability, performance, and maintainability through rigorous testing, type safety (mypy/pydantic), and production-grade CI/CD pipelines.
Collaborate on system design and platform evolution, contributing to abstractions, developer SDKs, and runtime instrumentation for agent lifecycle management.
Experience with agentic memory management (long‑term memory and short‑term memory).
Responsibilities
Develop API, services and ETL applications using Java or Python.
Design and build micro‑services‑based architecture for real‑time reports and analytics solutions.
Data base design/build for applications using SQL, Oracle, MySQL, etc.
Build/run CI/CD and containerized including but not limited to LR/Jenkins/GIT/Bitbucket/monitoring & logging tools like AppDynamics, Logstash, ELK is preferred.
Strong experience in the areas of Java 8, J2EE, React JS, Vert.X, RDBMS, Spring Boot, microservice architecture and Agile experience.
Experience working with code building tools and on source repositories.
Hands‑on experience with development tools and testing frameworks.
Candidate should be ok to work in hybrid from Sunrise, FL.
Writing unit and integration test cases for code coverage.
Salary Range $90,000 to $110,000 per year
Benefits 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 & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
EEO Statement: Equal Opportunity Employer, All qualified applicants, etc.
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– Tata Consultancy Services
Experience 5+ Years
Qualifications
Python developer with DB experience.
Design, implement, and optimize Python-based orchestration frameworks for multi-agent AI systems using tools like LangGraph, LangChain, and FastAPI.
Develop robust async architectures to support concurrent reasoning, tool use, and long-running workflows across distributed compute environments.
Integrate LLMs with MCP servers, vector databases, and observability systems for adaptive agent behavior.
Ensure reliability, performance, and maintainability through rigorous testing, type safety (mypy/pydantic), and production-grade CI/CD pipelines.
Collaborate on system design and platform evolution, contributing to abstractions, developer SDKs, and runtime instrumentation for agent lifecycle management.
Experience with agentic memory management (long‑term memory and short‑term memory).
Responsibilities
Develop API, services and ETL applications using Java or Python.
Design and build micro‑services‑based architecture for real‑time reports and analytics solutions.
Data base design/build for applications using SQL, Oracle, MySQL, etc.
Build/run CI/CD and containerized including but not limited to LR/Jenkins/GIT/Bitbucket/monitoring & logging tools like AppDynamics, Logstash, ELK is preferred.
Strong experience in the areas of Java 8, J2EE, React JS, Vert.X, RDBMS, Spring Boot, microservice architecture and Agile experience.
Experience working with code building tools and on source repositories.
Hands‑on experience with development tools and testing frameworks.
Candidate should be ok to work in hybrid from Sunrise, FL.
Writing unit and integration test cases for code coverage.
Salary Range $90,000 to $110,000 per year
Benefits 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 & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
EEO Statement: Equal Opportunity Employer, All qualified applicants, etc.
#J-18808-Ljbffr