Wood

1 month ago

Engineer – Digital Integration

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Join Wood in Chennai as an AI Engineer focused on designing, developing, and deploying end-to-end AI solutions with emphasis on Large Language Models, Prompt Engineering, and RAG architectures. You’ll build scalable AI systems, expose APIs and microservices, and collaborate across disciplines to deliver impactful AI-driven outcomes.

Location: Chennai

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design, develop, and deploy end-to-end AI applications and scalable AI systems including data ingestion, processing, and deployment pipelines.
•Build and integrate RESTful APIs and microservices to expose AI functionalities and enable seamless integration with business systems.
•Implement data ingestion and preprocessing pipelines (text, images, documents) including OCR components and vector-based retrieval.
•Develop and maintain vector databases, embedding pipelines, and chunking strategies for efficient semantic search and retrieval.
•Lead the application of LLMs with prompt engineering, RAG architectures, and model fine-tuning to solve real business problems.
•Collaborate with cross-functional teams to translate business requirements into AI solutions and ensure delivery against timelines.

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field (Ph.D. is an advantage).
•3+ years of experience in AI/ML, NLP, or related domains.
•Strong proficiency in Python and experience with AI/ML and NLP libraries (e.g., Hugging Face, spaCy, OpenCV).
•Proven understanding of Large Language Models (LLMs) such as GPT, BERT, and their real-world applications.
•Hands-on experience in Prompt Engineering, RAG architectures, chatbot development, and AI system integration.

Experience:3+ yearsAIAI/MLNLPLLMsPrompt engineering

Education:Bachelor's in Computer Science

Skills:PythonHugging FaceSpaCyOpenCVTensorFlowPyTorchREST APIsMicroservicesVector databasesEmbeddingsSemantic searchOCRCloud platforms

Languages:English

Tech Stack:PythonHugging FaceSpaCyOpenCVTensorFlowPyTorchRESTAPIsAWSAzureGoogle CloudVector databasesEmbeddingsSemantic searchOCR

Company Brief

Wood

Provides engineering, project delivery and technical consultancy services across energy, built environment and industrial sectors, delivering integrated solutions for oil & gas, renewables, infrastructure and environmental projects worldwide.

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Aberdeen, United Kingdom

Founded: 1982

Website LinkedIn

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Wood

1 month ago

Engineer – Digital Integration

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Chennai

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design, develop, and deploy end-to-end AI applications and scalable AI systems including data ingestion, processing, and deployment pipelines.
•Build and integrate RESTful APIs and microservices to expose AI functionalities and enable seamless integration with business systems.
•Implement data ingestion and preprocessing pipelines (text, images, documents) including OCR components and vector-based retrieval.
•Develop and maintain vector databases, embedding pipelines, and chunking strategies for efficient semantic search and retrieval.
•Lead the application of LLMs with prompt engineering, RAG architectures, and model fine-tuning to solve real business problems.
•Collaborate with cross-functional teams to translate business requirements into AI solutions and ensure delivery against timelines.

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field (Ph.D. is an advantage).
•3+ years of experience in AI/ML, NLP, or related domains.
•Strong proficiency in Python and experience with AI/ML and NLP libraries (e.g., Hugging Face, spaCy, OpenCV).
•Proven understanding of Large Language Models (LLMs) such as GPT, BERT, and their real-world applications.
•Hands-on experience in Prompt Engineering, RAG architectures, chatbot development, and AI system integration.

Experience:3+ yearsAIAI/MLNLPLLMsPrompt engineering

Education:Bachelor's in Computer Science

Skills:PythonHugging FaceSpaCyOpenCVTensorFlowPyTorchREST APIsMicroservicesVector databasesEmbeddingsSemantic searchOCRCloud platforms

Languages:English

Tech Stack:PythonHugging FaceSpaCyOpenCVTensorFlowPyTorchRESTAPIsAWSAzureGoogle CloudVector databasesEmbeddingsSemantic searchOCR

Company Brief

Wood

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Aberdeen, United Kingdom

Founded: 1982

Website LinkedIn