AI-Engineer

7 hours ago

Remote, India Boosta Full time

AI-Engineer We are looking for an AI-Engineer to build an intelligent Agentic AI Systems that will automate up to 80% of routine Legal and Finance workflows, reduce operational overhead, and free up experts for strategic work within the company.

Remote Full-Time | AI

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job description

WHAT YOU LL DO:

  • Build and deploy end-to-end AI agent architectures with reasoning, planning, and self-correction capabilities.
  • Fine-tune and optimize large language models to enable agentic behavior grounded in real-world data and context.
  • Develop advanced prompts, workflows, and coordination strategies for multi-agent systems and task orchestration.
  • Integrate AI agents with external APIs, tools, and databases; ensure scalable and performant backend infrastructure.
  • Apply MLOps best practices for deployment, monitoring, versioning, and observability of agentic systems.
  • Explore and adopt emerging agentic AI frameworks and techniques to continuously improve system intelligence.
  • Perform exploratory data analysis and build dashboards to track KPIs and system performance.
  • Collaborate with data, engineering, and product teams to translate business needs into impactful AI solutions.
  • Identify and optimize high-impact automation opportunities through process mapping and systems thinking.
  • Build secure, reliable, and scalable MLOps pipelines, balancing strong technical execution with business value and ROI.

WHAT WE EXPECT FROM YOU:

  • Programming Proficiency:
  • Proven experience in developing and deploying AI agents or autonomous systems.
  • Strong command of Python and AI/ML libraries such as PyTorch and TensorFlow.
  • AI/ML Expertise:
  • Hands-on work with LLMs and generative AI frameworks.
  • Deep knowledge of prompt engineering, RAG pipelines, and vector databases.
  • Data Wrangling EDA:
  • Skilled in data acquisition, transformation (ETL), and validation for AI model readiness.
  • Software Engineering (AI-Infused):
  • Strong system design, testing, and version control (Git) fundamentals.
  • Backend development experience for AI/ML pipelines.
  • Familiarity with Google cloud platform.
  • Proven track record using AI-assisted workflows for solution development.
  • Agentic Frameworks:
  • Practical experience with Claude Code, CrewAI, LangChain, LlamaIndex.
  • Additional experience:
  • Experience with conversational AI and chatbot systems.
  • Awareness of LLM security challenges (e.g., prompt injection).
  • Exposure to high-scale AI model deployment in low-latency environments.
  • A public portfolio or GitHub projects demonstrating applied AI agent development.

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