Senior AI Software Engineer Job at AnaVation, Chantilly, Loudoun County, VA

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  • AnaVation
  • Chantilly, Loudoun County, VA

Job Description

Job Description

Job Description

Be Challenged and Make a Difference  

In a world of technology, people make the difference. We believe if we invest in great people, then great things will happen. At AnaVation, we provide unmatched value to our customers and employees through innovative solutions and an engaging culture. 

Description of Task to be Performed:

AnaVation is seeking a Senior Agentic-AI Software engineer to join our team that will design, develop, and deploy advanced Agentic AI systems that autonomously perform complex tasks, make decisions, and interact with dynamic environments. You will collaborate with cross-functional teams to deliver scalable, efficient, and ethical AI solutions that drive business impact. You will architect and implement agentic AI systems capable of autonomous decision-making, task planning, and execution in real-world applications. Design and integrate multi-agent systems to solve complex problems through collaborative and competitive interactions. Develop and fine-tune large language models (LLMs) and reinforcement learning (RL) models to power agentic behaviors. Implement robust APIs and interfaces to integrate AI agents with external systems, databases, and tools. Optimize AI models for performance, scalability, and low-latency inference in production environments. Conduct rigorous testing, validation,

and monitoring of AI agents to ensure reliability, safety, and alignment with ethical standards. Collaborate with product managers, data scientists, and software engineers to define requirements and deliver end-to-end AI solutions. Stay updated on the latest advancements in Agentic AI, LLMs, and RL, and incorporate cutting-edge techniques into development workflows. Mentor junior developers and contribute to knowledge-sharing within the team.

Required Qualifications:
  • Clearance : Active TS/SCI within last 24 months
  • Education : BA/BS is Computer Science or another related field
  • Experience : BS + 10 Yrs or MS + 8 Yrs experience in computer science, AI, Machine Learning, or a related field.
  • 5+ years of experience in AI/ML development, with at least 2 years focused on Agentic AI or autonomous systems.
  • Proven track record of deploying production-grade AI systems, including framework experience such as AWS Bedrock.
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Preferred Qualifications:
  • PhD in computer science, AI, Machine Learning, or a related field
  • Technology Stack:
  • Programming Languages: Python (primary), JavaScript/TypeScript (for API development), C++ (for performance-critical components).
  • Frameworks and Libraries:
  • Machine Learning: PyTorch, TensorFlow, JAX.
  • Reinforcement Learning: Stable-Baselines3, Ray RLlib, OpenAI Gym, or Gymnasium.
  • Agentic AI Frameworks: LangChain, LlamaIndex, AutoGen, or CrewAI.
  • API Development: FastAPI, Flask, or Node.js.
  • Cloud Platforms: AWS (SageMaker, Lambda, Bedrock), Google Cloud AI, Azure AI.
  • Containerization: Docker, Kubernetes.
  • Version Control: Git, GitHub, or GitLab.
  • Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, DynamoDB).
  • DevOps Tools: CI/CD pipelines (Jenkins, GitHub Actions), monitoring tools (Prometheus, Grafana).
  • AI Models and Techniques:
  • Large Language Models (LLMs): Experience with models like LLaMA, GPT, BERT, or Grok for natural language understanding and generation, including leveraging AWS Bedrock for LLM deployment and management.
  • Reinforcement Learning (RL): Expertise in RL algorithms (e.g., DQN, PPO, SAC) and multi-agent RL systems.
  • Agentic AI Paradigms:
  • Knowledge of goal-driven agents, task decomposition, and autonomous planning (e.g., ReAct, Plan- and-Execute architectures).
  • Prompt Engineering:
  • Designing prompts for LLMs to achieve reliable and context-aware outputs, optimized for Bedrock's model ecosystem.
  • Model Fine-Tuning:
  • Techniques like LoRA, QLoRA, or full fine-tuning for domain-specific applications, with experience using Bedrock for fine-tuning workflows.
  • Evaluation Metrics:
  • Familiarity with BLEU, ROUGE, perplexity, and custom metrics for agent performance.

Benefits  

· Generous cost sharing for medical insurance for the employee and dependents 

· 100% company paid dental insurance for employees and dependents 

· 100% company paid long-term and short term disability insurance 

· 100% company paid vision insurance for employees and dependents 

· 401k plan with generous match and 100% immediate vesting 

· Competitive Pay 

· Generous paid leave and holiday package 

· Tuition and training reimbursement 

· Life and AD&D Insurance

About AnaVation  

AnaVation is the leader in solving the most complex technical challenges for collection and processing in the U.S. Federal Intelligence Community. We are a US owned company headquartered in Chantilly, Virginia. We deliver groundbreaking research with advanced software and systems engineering that provides an information advantage to contribute to the mission and operational success of our customers. We offer complex challenges, a top-notch work environment, and a world-class, collaborative team.

If you want to grow your career and make a difference while doing it, AnaVation is the perfect fit for you! 

AnaVation is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Tags

Temporary work, Immediate start,

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