Agent Developer Jobs

2 jobs found

1mo ago

Agentic AI Developer

MANTECH Remote 🌍 Remote

Remote

1mo ago Closed

Full time Agent Agentic Ai Agents

This position is no longer accepting applications (closed Jul 2, 2026).

Job Description

MANTECH is seeking a motivated, career- and customer-oriented Agentic AI Application Developer for a full-time remote position.

Responsibilities

Create and deploy Agentic AI features and Human-AI Teaming capabilities to support AFCEC Cost Estimation PoC
Architect and implement AI systems capable of reasoning, planning, and executing intricate, multi-step tasks with minimal human input
Connect AI models to real-world tools, external APIs, and robust feedback loops
Convert manual, highly variable workflows into efficient, predictive agent-driven processes
Collaborate with cross-functional teams to validate secure AI solutions and improve workflow efficiency
Develop, test, and maintain code for AI agents, ensuring performance and reliability in a remote environment

Requirements

Bachelor's degree in computer science, data science, statistics, mathematics, or equivalent experience
0+ years of entry-level experience
Foundational knowledge of AI, machine learning, or software engineering principles
Experience with AI-oriented programming languages, notably Python
Familiarity with API integration and working with external data sources
Knowledge of prompt engineering and basic interactions with Large Language Models
Strong problem-solving abilities and the capacity to collaborate effectively in a remote team

Technologies

Python
LangChain
LlamaIndex
OpenAI APIs

Clearance Requirements

U.S. Citizen eligible to obtain and maintain a DoD Secret clearance

Physical Requirements

Able to remain stationary for approximately 50% of the workday
Frequent communication with colleagues, management, and customers, including occasional presentations
Ability to convey accurate information during such interactions

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1mo ago

Agentic AI Engineer / Developer

Tata Consultancy Services Charlotte, NC

Charlotte, NC

1mo ago Closed

$110k - $125k/yr Full time Agent Agent Orchestration Ai Workflows

This position is no longer accepting applications (closed Jun 17, 2026).

Job Description

Senior Agentic AI Engineer/Developer at Tata Consultancy Services in Charlotte, NC, focusing on designing and deploying agentic AI workflows that leverage large language models, tools, memory, and orchestration frameworks while ensuring scalability, observability, and safety in enterprise environments.

Responsibilities

Lead design and implementation of agentic AI architectures using LLMs, multi-agent orchestration, and modern AI frameworks to deliver scalable, reliable solutions.
Create end-to-end agentic workflows that integrate LLMs, tool interfaces, memory modules, and orchestration patterns.
Build multi-step reasoning pipelines with guardrails, retry logic, and fallback strategies to ensure resilience.
Integrate agents with enterprise systems such as APIs, databases, ticketing platforms, knowledge bases, and messaging tools.
Develop prompt templates, tool schemas, and context management patterns for dependable task execution.
Establish observability for agent runs, including traces, latency, token usage, cost, and failure analytics.
Enforce safety controls including policy checks, output validation, and human-in-the-loop approvals where appropriate.
Optimize agent performance via evaluation sets, benchmark scenarios, and continuous tuning.
Assemble modular components for planner-executor patterns, retrieval, and decision routing to support scalable systems.
Harden production deployments with authentication, authorization, and secure secret handling.
Troubleshoot hallucinations, tool misuse, and context-window issues through systematic diagnostics.
Collaborate with product and operations teams to translate business workflows into automatable agent tasks.
Maintain comprehensive developer documentation and best practices for scalable agent systems.
Apply LLM concepts including embeddings, tokenization, and context windows, plus evaluation techniques and safety guardrails.

Requirements

10+ years hands-on experience with LLMs, multi-agent orchestration, and AI frameworks to deliver scalable, reliable agentic solutions.
Design and implement agentic AI workflows using LLMs, tools, memory, and orchestration frameworks.
Build multi-step reasoning pipelines with guardrails, retry logic, and fallback strategies.
Integrate agents with enterprise systems (APIs, databases, ticketing, knowledge bases, and messaging tools).
Develop prompt templates, tool schemas, and context management patterns for reliable task execution.
Establish observability for agent runs: traces, latency, token usage, cost, and failure analytics.
Implement safety controls including policy checks, output validation, and human-in-the-loop approvals.
Optimize agent performance through eval sets, benchmark scenarios, and continuous tuning.
Build modular components for planner-executor patterns, retrieval, and decision routing.
Harden production deployments with authentication, authorization, and secure secret handling.
Troubleshoot hallucinations, tool misuse, and context-window issues using systematic diagnostics.
Collaborate with product and operations teams to convert business workflows into automatable agent tasks.
Maintain developer documentation and best practices for scalable, maintainable agent systems.
Experience with LLMs and fine-tuning concepts; knowledge of embeddings, tokenization, and context windows.
Evaluation techniques for agent performance.
Understanding of AI safety, hallucination mitigation, and guardrails.

Benefits

Discretionary annual incentive.
Comprehensive medical coverage including medical, dental, vision, disability, and pet insurance plans.
Maternal and parental leaves to support family needs.
Auto and home insurance options plus identity theft protection.
Commuter benefits and reimbursement for certification and training opportunities.
Paid time off including vacation, personal time off, sick leave, and holidays.
Legal assistance, 401K plan, performance bonus, college fund, and student loan refinancing options.

Generic Managerial Skills

Proactive, results-oriented leadership capable of mentoring and motivating a dynamic team toward high performance.
Strong communication, collaboration, and team-building abilities with quick assimilation of new technical concepts.

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