Agentic AI Engineer

Key Responsibilities:

• Design, develop, and deploy 

  agentic AI systems

   capable of autonomous decision-making, reasoning, and multi-step task execution.
• Build and fine-tune 

  LLM-powered applications

   using frameworks like 

  LangChain, LlamaIndex

  , or 

  Semantic Kernel

  .
• Integrate LLMs into real-world workflows via APIs and tools (e.g., OpenAI, Hugging Face, Anthropic, Mistral).
• Architect and implement scalable pipelines for model orchestration, retrieval-augmented generation (RAG), and memory/long-context strategies.
• Develop robust interfaces between LLM agents and external tools, APIs, and databases.
• Experiment with prompt engineering, few-shot learning, and model evaluation techniques to optimize agent behavior.
• Collaborate with cross-functional teams to understand business use cases and deliver end-to-end solutions.

Required Skills & Experience:

• 3+ years of experience in AI/ML, with a strong track record of freelance or consulting work.
• Proven experience with 

  LLMs

  , prompt engineering, and 

  agentic frameworks

  .
• Proficient in Python and familiar with modern LLM toolchains (e.g., LangChain, OpenAI Function Calling, ReAct, AutoGPT, AgentOps).
• Experience building 

  autonomous or semi-autonomous agents

   capable of reasoning and planning.
• Solid understanding of vector stores (e.g., 

  Pinecone, FAISS, Weaviate

  ) and 

  RAG pipelines

  .
• Knowledge of cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
• Ability to work independently, manage clients, and deliver on fast-paced timelines.

Job Types: Full-time, Permanent, Contractual / Temporary