Artificial Intelligence Engineer

Role: Senior AI Engineer

Experience: 5–10 Years

Location: Pune (Near Pune Station), Hybrid

Company: AiStrike Job

Description: We are seeking a highly skilled and motivated AI Engineer with expertise in large language models (LLMs), AI workflows, and machine learning. This role combines deep technical knowledge in ML/AI with hands-on experience building intelligent, production-ready systems that enhance cybersecurity investigation, prioritization, and response. You will work at the intersection of LLM-driven automation, workflow orchestration, and classical ML models to improve how alerts are prioritized, classified, and contextualized—reducing fatigue and enabling faster, more effective decision-making. Your work will directly influence the development of agentic AI systems, workflow automation, and recommendation engines within AiStrike's cloud security platform.

Requirements

• Bachelor's/Master's degree in Computer Science, AI/ML, Data Science, or a related field.
• 5+ years of experience in ML/AI, including 3+ years deploying production-grade systems.
• Experience contributing to publications (patents, libraries, or peer-reviewed papers) is a
• plus.
• Strong knowledge of machine learning algorithms for classification, clustering, ranking, and
• anomaly detection.
• Proficiency with LLM frameworks and APIs (OpenAI, Hugging Face Transformers, LangChain,
• LlamaIndex).
• Hands-on experience building workflow automation with LLMs and integrating them into
• applications.
• Solid programming skills in Python (experience with PyTorch, TensorFlow, scikit-learn).
• Knowledge of NLP tasks (text classification, summarization, embeddings, semantic search).
• Experience with recommendation systems or reinforcement learning is a strong plus.
• Proven track record of deploying ML/AI models into production environments with
• scalability in mind.
• Familiarity with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes).
• Understanding of MLOps best practices (CI/CD for ML, monitoring, retraining strategies).
• Strong problem-solving and analytical mindset.
• Excellent communication and teamwork skills.
• Ability to work in a fast-paced, evolving startup environment.