AI Engineer
First seen by Alion on Sep 23, 2026.
Job Description :
We are seeking a talented Agentic AI Engineer to design, develop, and deploy advanced AI agents capable of autonomous reasoning, decision-making, and self-directed task execution. This role requires expertise in modern AI architecture, reinforcement learning, multi-agent solution frameworks, and the deployment of agentic AI solutions. You will collaborate with cross-functional teams to create intelligent systems that drive business value and innovation.
Key Responsibilities:
1. Design and Development:
- Build and optimize agentic AI systems (e.g., autonomous agents, multi-agent frameworks, LLM-powered agents, MCP, RAG, Agent Skills, Context Engineering, Agent Memory).
- Integrate agentic AI solutions with existing enterprise platforms and workflows.
- Work closely with product, data, and engineering teams to translate business requirements into AI solutions.
- Monitor agent behaviors, diagnose anomalies, and refine agent instructions as needed.
- Deploying agentic AI agents in production environments, ensuring reliability and performance.
- Developed feedback loops for continuous agent improvement.
- Conduct code reviews and mentor junior engineers.
- Contribute to AI architecture, technical standards, and roadmap planning.
Required Skills & Qualifications:
- 6+ years of hands-on experience in Artificial Intelligence, Machine Learning, or related field.
- Knowledge of developing Gen AI or AI/ML solutions from use case to production and an understanding of agentic or autonomous systems.
- Understanding of Infrastructure and DevOps related to Gen AI use case deployments including Cloud environments, Agent Hosting, CICD deployments, docker and Kubernetes.
- Proficiency in Python development and FastAPI/Flask framework along with SQL.
- Expertise with agentic AI frameworks and concepts - LangChain, LangGraph, ADK, AutoGen, Model Context Protocol (MCP), LLMs, Chain of Thought prompting, knowledge store, embeddings.
- Experience with RAG techniques for knowledge base retrievals from vector DB.
- Prompt engineering techniques and fine-tuning.
- Hands-on experience with model deployment (REST APIs, microservices, or cloud-based inference).
- Hands-on experience with building user experiences to support agent-based solutions.
- Experience with cloud platforms (AWS, Azure, or GCP) and AI services.
- Strong problem-solving and analytical skills.
- Excellent communication and cross-functional collaboration abilities.
Preferred / Nice-to-Have Skills:
- Understanding of: Machine Learning algorithms, Deep Learning (CNNs, RNNs, Transformers), Natural Language Processing (NLP) and/or Computer Vision.
- Experience with data processing and analysis using NumPy, Pandas, and SQL.
- Familiarity with MLOps practices (model versioning, monitoring, CI/CD).
- Experience with Generative AI and LLMs (OpenAI, Hugging Face, LangChain, RAG pipelines).
- Experience with big data tools (Spark, Kafka).
- Familiarity with ethical AI, bias mitigation, and model governance.
- Prior experience leading AI initiatives or mentoring teams.
What We Offer:
- Competitive compensation and benefits.
- Flexible work arrangements.
- Opportunity to work on cutting-edge AI and GenAI projects.
- Continuous learning and professional development.
- Collaborative and innovation-driven culture.
Skills
Python, LangChain, Generative AI, FastAPI, LangGraph, Machine Learning, AWS, NLP, Neural Networks, Artificial Intelligence