Artificial Intelligence Engineer
Job Description
About the Role
We are looking for a highly skilled AI Engineer with strong hands-on experience in Large Language Models (LLMs) and modern AI tooling. The ideal candidate should be proficient in working with Claude, ChatGPT, and AI coding agents like Codex, and have experience building intelligent agents, prompt systems, and AI-powered automation workflows.
Responsibilities
- Design and build AI agents and multi-step workflows using LLMs (Claude, ChatGPT, or similar models)
- Develop and optimize advanced prompts for reasoning, coding, and task automation
- Build and maintain agentic systems (tool-using AI, function calling, workflow automation)
- Work with Claude (Anthropic) for reasoning-heavy tasks and structured outputs
- Work with ChatGPT / OpenAI models including Codex for code generation, debugging, and software development support
- Create reusable prompt frameworks, templates, and prompt libraries
- Integrate LLM APIs into applications (Python / Node.js / REST APIs)
- Design systems using RAG (Retrieval-Augmented Generation) where needed
- Build and test AI-driven coding workflows and automation pipelines
Qualifications
- 0-6 years of relevant experience preferred
Required Skills
- Knowledge of Prompt Engineering and AI model optimization
- Deep understanding of prompt engineering techniques
- Experience building or using AI agents (autonomous or semi-autonomous systems)
- Familiarity with AI coding tools like ChatGPT Codex / GitHub Copilot / Claude Code
- Experience building: Task-based AI agents, multi-step reasoning pipelines and tool-using LLM systems (APIs, databases, web tools)
- Understanding of agent frameworks (LangChain, LangGraph, CrewAI or similar)
- Strong skills in Python and/or JavaScript/TypeScript
- Knowledge of data handling, embeddings, and vector databases (basic to advanced)
- Ability to design high-quality prompts for different use cases
- Experience improving AI output reliability and reducing hallucinations
- Ability to create structured AI workflows and reusable prompt systems
- Clear communication for prompt design and documentation
- Comfortable working in fast-evolving AI environments
- Ability to experiment and iterate quickly with AI systems
More Info
Key Skills
LangChain
CrewAI
embeddings
automation pipelines
AI-driven coding workflows
Codex
AI coding agents
vector databases
Claude
LangGraph
RAG (Retrieval-Augmented Generation)
ChatGPT
Prompt Engineering
AI model optimization
Large Language Models (LLMs)
About Company
Skills:
Java, Apis, embeddings, Generative AI, Agentic AI, LLMs, AI agent development, RAG pipelines, semantic search, prompt engineering
Skills:
Python, AWS, structured prompting, model routing, prompt versioning, LangGraph, CI/CD pipelines, few-shot patterns, hosting decisions, guardrails, RAG pipelines, LLM-powered products, evals
Skills:
Pytorch, Docker, Linux, Python Programming, Kubernetes, PEFT, Hugging Face Transformers, open-source LLMs, GPU-based inference and optimization, Agentic AI, LoRA, RAG, Generative AI LLMs
Skills:
Python, Generative AI, API integrations, vector databases, Claude, GPT
Skills:
Sql, Python, Langchain, LLM internals, agent workflows, vector databases, embeddings, prompt tuning