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Accenture

Advises businesses and runs their technology

Custom Software Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of experience is required.
  • Must have hands-on experience with Python.
  • Must have experience designing and consuming RESTful APIs.
  • Must have familiarity with OpenAPI or Swagger specifications.
  • Must have working knowledge of React and JavaScript.
  • Must have experience integrating frontend applications with backend APIs.
  • Must have hands-on experience working with large language models.
  • Must have knowledge of agentic system design patterns.
  • Must have experience building retrieval-augmented generation applications.
  • Must have knowledge of embeddings, vector search, and context management.
  • Must have practical experience with prompt engineering.
  • Must have experience with LangChain, including chains, tools, agents, and memory.
  • Must have experience with LangSmith for prompt tracing, debugging, evaluation, and monitoring.
  • Must have experience with agentic frameworks such as AutoGen or similar.
  • Must have experience with multi-agent orchestration, tool-calling agents, planners, and executors.
  • Must have experience with protocols such as MCP or A2A.
  • Must have experience with Docker and Kubernetes.
  • Must understand cloud setup and deployment on AWS, Azure, or GCP.
  • Must have working knowledge of AI productivity tools such as GitHub Copilot and Claude, Cursor, Cline, or similar.
  • Must have 15 years of full-time education.
  • Must be able to solve problems and debug technical issues.
  • Must be able to work independently and take ownership.
  • Must have clear communication and collaboration skills.

Responsibilities

  • Design and develop LLM-powered backend services using Python and FastAPI.
  • Build retrieval-augmented generation pipelines using vector databases.
  • Implement agentic workflows using frameworks such as AutoGen or similar.
  • Design and expose RESTful APIs following OpenAPI or REST API specifications.
  • Integrate backend AI services with React and JavaScript frontend applications.
  • Deploy, manage, and scale AI services on Kubernetes.
  • Use LangChain to orchestrate prompts, tools, chains, memory, and agents.
  • Use LangSmith for prompt and version tracking, LLM tracing and debugging, and evaluation and performance monitoring.
  • Apply prompt engineering best practices and maintain reusable prompt libraries.
  • Collaborate with cross-functional teams to deliver end-to-end AI solutions.
  • Ensure the security, reliability, observability, and performance of AI systems.

Desired Qualifications

  • Agentic design.
  • Basic CI/CD knowledge.
  • Working knowledge or experience with vector databases such as Pinecone, FAISS, Weaviate, or Chroma, or equivalent.
  • Working knowledge or experience with graph databases such as Apache AGE or Neo4j.
  • Strong basics in security and authentication/authorization, including JWT and OAuth2.
  • Working knowledge of monitoring and observability tools.
  • High curiosity about fast-evolving AI and generative AI ecosystems.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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