AI Engineer

Job Role: AI Engineer

Job Location: Alpharetta GA (Day 1 onsite) Need Locals

Job Role: Contract

H1b h4ead required

We need 11years of experience resumes

***Need to attend for Inperson Interview***

Job description:

We are looking for a driven AI Engineer to join our engineering this role you will focus on building testing and deploying autonomous AI agents and multi-agent systems. You will bridge the gap between traditional software engineering and modern Generative AI working to enable LLMs (Large Language Models) to interact with external tools APIs and data sources.

What youll do

• Agent Development & Testing: Perform development activities focused on AI Agents including designing prompt chains implementing tool-calling logic (function calling) and conducting unit tests for stochastic AI outputs. Work on projects involving RAG (Retrieval-Augmented Generation) and contribution to agent frameworks.
• Performance Optimization: Participate in the estimation process for AI features. Diagnose and resolve specific AI performance issues such as latency in LLM responses token usage optimization and reducing hallucination rates in agentic workflows.
• Documentation & Knowledge Sharing: Document agent architectures prompt templates and chains of thought so that other developers can understand and iterate on the AI logic with minimal effort.
• Full-Stack AI Integration: Develop and operate scalable AI applications from the backend logic (Python/Lang Chain) to the API layer focusing on security (Guardrails) and operational excellence. Ensure agents can reliably execute tasks in a production environment.
• Modern AI Practices: Apply modern software and AI engineering practices including LLMOps evaluation pipelines (Evals) vector database management and standard CI/CD/Infrastructure-as-code.
• System Integration: Work across teams to integrate AI Agents with existing internal systems Data Fabric and third-party APIs to enable agents to perform actions rather than just generating text.
• Innovation & Agile: Participate in technology roadmap discussions to turn business requirements into functional autonomous agent solutions. Collaborate within a tight-knit engineering team employing agile practices.
• Debugging & Triage: Triage product issues related to unpredictable model behaviour. Debug track and resolve issues by analysing traces (e.g. Lang Smith Arize) to understand the root cause of agent failures or loop errors.
• Implementation: Able to write debug and troubleshoot code in mainstream open-source AI technologies (specifically Python). Lead efforts for Sprint deliverables and solve problems of medium complexity regarding context management and memory.

What experience you need

• Bachelors degree or equivalent experience
• 2 years of IT engineering experience
• Languages: Proficiency in Python is mandatory. Experience with JAVA is a plus.
• Frameworks: Familiarity with Agentic frameworks (e.g. ADK LangChain LangGraph).
• GenAI Fundamentals: Understanding of how LLMs work including Context Windows Temperature Embeddings and Vector Stores (e.g. Pinecone Milvus Weaviate).
• APIs: Experience building and consuming RESTful APIs (assistants interacting with software).

What could set you apart

• Prompt Engineering & Optimization: Advanced techniques (Chain-of-Thought ReAct Tree of Thoughts).
• Cognitive Architectures: Designing memory systems (short-term vs. long-term) for agents.
• AI Evaluation: Building automated test suites to grade agent performance.
• Systems Thinking: Understanding how non-deterministic AI components fit into deterministic software systems.
• Agile Engineering Best Practices.

Thanks Regards

N Sai AKhil