What are the responsibilities and job description for the Agentic AI Engineer position at NuStar Technologies?
Job Title : Agentic AI Engineer
Experience Required - 4 Years
Must Have Technical/Functional Skills
Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI
Proficiency in Python and modern AI/ML frameworks, AWS
Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime
Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)
Roles & Responsibilities
Focus on designing, building, and optimizing AGENTC capabilities using large language models and advanced reasoning frameworks.
Key Responsibilities
Strong technical depth, a passion for building, workstreams in a fast-paced, innovation-driven environment
Build serverless agentic product architectures and features on AWS using Bedrock AgentCore Memory, Gateway, Identity, Interpreter, Observability and Runtime
Implement and operate A2A/MCP servers on AWS; integrate with Bedrock Agents/Converse APIs
Orchestrate multi‑agent plans with Strands Agents; deploy to EKS or Lambda
Instrument agents with CloudWatch metrics, spans, and traces; enable audits
Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions
Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact
Required Skills & Experience
Strong problem-solving and strategic thinking abilities
Strong collaboration skills in research-driven environments
Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime
Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)
Proficiency in Python and modern AI/ML frameworks
Proficiency in vector databases and embedding models for retrieval tasks
Experience with Data Connectors and API gateways that support seamless communication between systems
Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets
Strong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformation
Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI
Deep subject matter expertise in AI technologies, including but not limited to Copilot Studio, OpenAI, Semantic Kernels, Azure AI Foundry, Google Gemini, Microsoft 365, and M365 Copilot or Anthropic or AWS platforms
Salary Range - $100000 to $125000
TCS Employee Benefits Summary
Discretionary Annual Incentive
Comprehensive Medical Coverage Medical and Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
Family Support Maternal and Parental Leaves
Insurance Options Auto and Home Insurance, Identity Theft Protection.
Convenience and Professional Growth Commuter Benefits and Certification and Training Reimbursement.
Time Off Vacation, Time Off, Sick Leave and Holidays.
Legal and Financial Assistance Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Experience Required - 4 Years
Must Have Technical/Functional Skills
Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI
Proficiency in Python and modern AI/ML frameworks, AWS
Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime
Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)
Roles & Responsibilities
Focus on designing, building, and optimizing AGENTC capabilities using large language models and advanced reasoning frameworks.
Key Responsibilities
Strong technical depth, a passion for building, workstreams in a fast-paced, innovation-driven environment
Build serverless agentic product architectures and features on AWS using Bedrock AgentCore Memory, Gateway, Identity, Interpreter, Observability and Runtime
Implement and operate A2A/MCP servers on AWS; integrate with Bedrock Agents/Converse APIs
Orchestrate multi‑agent plans with Strands Agents; deploy to EKS or Lambda
Instrument agents with CloudWatch metrics, spans, and traces; enable audits
Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions
Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact
Required Skills & Experience
Strong problem-solving and strategic thinking abilities
Strong collaboration skills in research-driven environments
Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime
Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)
Proficiency in Python and modern AI/ML frameworks
Proficiency in vector databases and embedding models for retrieval tasks
Experience with Data Connectors and API gateways that support seamless communication between systems
Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets
Strong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformation
Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI
Deep subject matter expertise in AI technologies, including but not limited to Copilot Studio, OpenAI, Semantic Kernels, Azure AI Foundry, Google Gemini, Microsoft 365, and M365 Copilot or Anthropic or AWS platforms
Salary Range - $100000 to $125000
TCS Employee Benefits Summary
Discretionary Annual Incentive
Comprehensive Medical Coverage Medical and Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
Family Support Maternal and Parental Leaves
Insurance Options Auto and Home Insurance, Identity Theft Protection.
Convenience and Professional Growth Commuter Benefits and Certification and Training Reimbursement.
Time Off Vacation, Time Off, Sick Leave and Holidays.
Legal and Financial Assistance Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary : $100,000 - $125,000