Agentic AI Engineer

Overview

Full job description

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

Pay: ₹60,000.00 - ₹80,000.00 per month

Benefits:

• Paid time off
• Work from home

Schedule:

• Day shift
• Evening shift

Supplemental Pay:

• Overtime pay
• Performance bonus
• Shift allowance
• Yearly bonus

Experience:

• Agentic AI: 2 years (Required)

Work Location: In person