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Agentic Developers Jobs in Washington, DC (NOW HIRING)

Integral

Agentic Engineer

Tysons, VA · On-site

$90K - $175K/yr

Overview Agentic Engineer Location: Tysons Corner, VA (Hybrid) At Integral Federal, we invest in our people-equipping them with the tools, expertise, and culture of innovation needed to deliver ...

Integral

Agentic Engineer

Tysons Corner, VA · On-site

$90K - $175K/yr

Agentic Engineer Location: Tysons Corner, VA (Hybrid) At Integral Federal, we invest in our people--equipping them with the tools, expertise, and culture of innovation needed to deliver measurable ...

Booz Allen Hamilton

Agentic AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Agentic AI Engineer The Opportunity: As an experienced engineer, you know that agentic AI is transforming how organizations operate, make decisions, and deliver outcomes at speed. Your ability to ...

GDIT

Senior Agentic AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

The AI/ML Engineer will work across the full AI development lifecycle, including data preparation, model development, agentic workflow design, evaluation, integration, deployment, and operational ...

GDIT

Senior Agentic AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

The AI/ML Engineer will work across the full AI development lifecycle, including data preparation, model development, agentic workflow design, evaluation, integration, deployment, and operational ...

SES

Ai Engineer - ZL

Washington, DC · On-site

Agentic Engineering & Workflow Design * AI Application & Platform Engineering * Testing, Validation & Governance * Strong programming skills (Python preferred) * Experience with: * CI/CD pipelines ...

RTX Corporate

Agentic AI Engineer

Arlington, VA

$164K/yr

Partner with product and engineering teams to translate research insights into real-world impact. What You Will Learn: * Advanced techniques in agentic AI, including tool‑use, planning algorithms ...

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All JobsAgentic Developers JobsAgentic Developers Jobs in Washington, DC

Agentic Developers information

See Washington, DC salary details

$39.6K

$80.4K

$261.1K

How much do agentic developers jobs pay per year?

As of Aug 9, 2026, the average yearly pay for agentic developers in Washington, DC is $80,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $68,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an agentic developer, and why are they important?

To thrive as an Agentic Developer, you need a solid background in software engineering, AI/ML concepts, and agent-based systems, often supported by a degree in computer science or related fields. Familiarity with frameworks such as LangChain, OpenAI APIs, and experience with cloud platforms and workflow orchestration tools are typically expected. Strong problem-solving, critical thinking, and effective communication skills set top performers apart in this emerging field. These competencies enable Agentic Developers to design, build, and manage intelligent, autonomous agents that deliver innovative solutions and adapt to complex real-world tasks.

What is the difference between Agentic Developers vs Software Engineers?

AspectAgentic DevelopersSoftware Engineers
Required CredentialsBachelor's in Computer Science or related field, coding certificationsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentCollaborative teams, project-based settings, tech companiesDevelopment teams, tech firms, startups, corporate IT departments
Employer & Industry UsageTech startups, software firms, digital agenciesTech companies, software development firms, enterprise IT
Search & Comparison IntentYesYes

Agentic Developers and Software Engineers share similar credentials and work environments, often overlapping in tech companies and startups. However, Agentic Developers typically emphasize a proactive, autonomous approach to project execution, whereas Software Engineers focus more on designing, coding, and maintaining software solutions. Understanding these distinctions helps employers and job seekers align expectations and roles effectively.

How do agentic developers typically collaborate with cross-functional teams to implement autonomous systems?

Agentic Developers often work closely with data scientists, UX/UI designers, and product managers to build and integrate autonomous agents within larger software systems. Collaboration usually involves regular sprint meetings, sharing progress on task automation, and aligning system behaviors with user and business requirements. This multidisciplinary teamwork ensures that agentic solutions are robust, user-friendly, and aligned with organizational goals. Open communication and a willingness to iterate on feedback are key to success in this role.

What is an agentic developer?

Agentic developers are software professionals who design, build, or work with systems that exhibit agency—meaning the system can make autonomous decisions and take actions to achieve specific goals. These developers often focus on creating advanced AI agents, multi-agent systems, or applications that integrate autonomous behaviors. Their work typically involves a mix of programming, machine learning, and system design to enable intelligent, proactive software. Agentic developers are increasingly in demand as AI-driven applications become more common across industries.
What are popular job titles related to Agentic Developers jobs in Washington, DC? For Agentic Developers jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Agentic Developers jobs in Washington, DC look for? The top searched job categories for Agentic Developers jobs in Washington, DC are:
Agentic Developers jobs near you

Gen AI / Agentic Engineer

Interon IT Solutions

Chantilly, VA • Remote

Contractor

Re-posted 21 days ago

Job description

#W2 Role

Job Title: Gen AI / Agentic Engineer

Location: Remote 
Type: W2 Contract 
Experience: 10+ years overall IT, 2+ years GenAI/LLM

Job Summary

We are looking for a GenAI / Agentic Engineer to design, build, and deploy LLM-powered applications on AWS. This role is focused on real production engineering—APIs, RAG pipelines, agent workflows, evaluation, deployment, monitoring, and performance/cost tuning.

Responsibilities

  • Build and maintain LLM-powered backend services using Python and FastAPI (chat, search, summarization, Q&A).
  • Design and implement RAG pipelines end-to-end: ingestion, parsing, chunking, embeddings, indexing, retrieval, reranking, and grounded responses.
  • Develop agentic workflows for multi-step automation (tool calling, orchestration, state/memory, retries, audit logs).
  • Deploy and support GenAI workloads on AWS using ECS/Lambda, S3, SQS, DynamoDB/RDS, OpenSearch (or vector store), and related services.
  • Implement security and governance controls: auth, authorization, secrets, encryption, PII handling, and prompt-injection defenses.
  • Build evaluation and monitoring for quality, hallucination reduction, latency, and cost (test sets, regression checks, dashboards, alerts).
  • Work across full SDLC: design docs, estimates, coding, code reviews, CI/CD, testing, release, and production support.
  • Communicate architecture decisions clearly and explain tradeoffs (accuracy vs latency vs cost) to stakeholders.

Required Skills (Point-Based)

  • 10+ years overall IT experience with backend/API engineering and cloud deployments
  • 2+ years hands-on GenAI/LLM experience delivering real features (not just demos)
  • 6+ years strong Python (core Python, clean coding, debugging, packaging)
  • Experience with asyncio and concurrency (threads/async), plus profiling and performance tuning
  • Comfortable with stateful/long-running workflows: transaction handling, retries, idempotency, and failure recovery
  • 5+ years building REST APIs / microservices, strong API design and error handling
  • 5+ years with FastAPI (or similar) including middleware, dependency injection, background tasks
  • Experience implementing auth/security using JWT/OAuth, RBAC, secure configuration, secrets handling
  • Strong testing discipline using pytest (unit/integration tests, mocks, API contract testing)
  • Proven experience building RAG systems end-to-end: chunking strategies, embeddings, retrieval tuning, reranking, grounding/citations
  • Hands-on with RAG optimization: hybrid retrieval, metadata filters, top-k tuning, chunk tuning, reranking strategies
  • Experience with agentic patterns: tool calling, orchestration, memory/state, structured outputs, audit trails
  • Experience implementing guardrails: output schema enforcement (JSON), refusal handling, safety filters, prompt-injection defenses, PII masking
  • 5+ years AWS experience using ECS/Lambda, S3, SQS, DynamoDB/RDS (and related services)
  • Strong AWS security fundamentals: IAM, KMS, Secrets Manager, CloudWatch logs/metrics/alarms
  • Experience deploying LLM workloads via Amazon Bedrock (preferred) or SageMaker
  • Strong system design: scalability, caching, rate limiting, queues, resilience/failure handling
  • Ability to clearly explain GenAI architecture decisions and tradeoffs across accuracy/latency/cost

Nice to Have

  • LangChain / LangGraph / LlamaIndex (any)
  • OpenSearch vector search or vector DB experience (Pinecone/Weaviate/FAISS, etc.)
  • Docker, Terraform/CDK, CI/CD (GitHub Actions/Jenkins)
  • Experience in regulated environments (finance/healthcare/telecom) with governance controls