Agentic-AI Software engineer
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Role details
Tech stack
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Job description
-
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.
Requirements
- 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:
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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:
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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.
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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).
Benefits & conditions
- 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 the company
Job DescriptionBe 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., 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.
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