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

Job Type: Full-time

Pay: ₹70,000.00 - ₹150,000.00 per month

Application Question(s):

• Do you have experience in building RAG (Retrieval-Augmented Generation) pipelines? If yes, please specify the duration in no. of months
• Duration of experience (in months) with Elasticsearch.
• Duration of experience (in months) in PDF parsing and OCR (Optical Character Recognition). in months
• Your current CTC (In Lakhs)
• Duration of experience (in months) in MCP (Model Configuration & Prompting) or related model pipeline customization.
• Do you have experience working with vector databases? If yes, please specify which ones (e.g., FAISS, Pinecone, Weaviate, etc.) and your role or use case.
• Duration of experience (in months) in AWS S3 Vectors.
• Duration of experience (in months) with LangChain and LlamaIndex individually.
• Experience with Web Scraping (in months)
• Are you flexible with relocating to Delhi?

Work Location: In person

Expected Start Date: 01/09/2025