Infosys

Infosys

Infosys specializes in providing comprehensive consulting and IT services that facilitate digital transformation for clients across various industries, leveraging advanced technologies and innovative solutions to enhance business processes and drive me...

Internet Software & Services
100K+
Founded 1981

Description

  • Design and implement AI agents for enterprise-grade use cases using frameworks such as LangChain, CrewAI, or AutoGen.
  • Develop modular code for task decomposition, memory handling, and API-based tool integration.
  • Collaborate with AI strategists and architects on solution design and MVP delivery.
  • Test and fine-tune agent behavior using LLM APIs and embeddings.
  • Participate in internal code reviews, documentation, and reusable framework development.
  • Support pre-sales demos, client innovation sessions, and hands-on prototype creation.
  • Contribute to enterprise solutioning and business growth through strategic consulting support.
  • Work across functional business pillars in a collaborative, high-growth consulting environment.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, AI, or a related field; PhD preferred for architect-level roles.
  • 3+ years of experience in AI/ML, with recent hands-on experience in agentic systems and LLM-based applications.
  • Strong Python experience and familiarity with orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar.
  • Deep knowledge of LLMs such as GPT, Claude, LLaMA, or Mistral, including prompt engineering, agent memory, tool calling, and autonomous task execution.
  • Experience supporting RFP/RFI responses and proposal creation in a consulting or enterprise services environment.
  • Understanding of enterprise solutioning with cloud platforms such as AWS, Azure, or GCP, plus API integration and data security best practices.
  • Exceptional communication and consulting skills with the ability to present to both technical and non-technical stakeholders.
  • Preferred: strong proficiency in Python, Java, Spring, Maven, JSON, and object-oriented programming.
  • Preferred: exposure to cognitive architectures, planning-based agents, or reinforcement learning in real-world deployments.
  • Preferred: experience integrating AI agents into enterprise applications such as Salesforce, ServiceNow, SAP, or custom apps via APIs.
  • Preferred: understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems.

Benefits

  • Industry-leading compensation and benefits.
  • Top training and development opportunities.
  • Inclusive and entrepreneurial culture.
  • Global reach and the ability to work with market-leading brands across sectors.
  • Recognized employer with strong career paths and dedicated training in Europe.
  • Access to a globally renowned consulting firm at the cutting edge of technology.
  • Opportunity to grow your career and achieve personal ambitions.

Interested in this position?

Apply directly on the company website

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