AI Engineer

Digile
India

We are looking for an experienced AI Consultant to lead end-to-end AI transformation initiatives and deliver measurable business value. The ideal candidate will identify enterprise challenges, develop AI roadmaps, and design scalable solutions using Generative AI, LLMs, RAG, and agentic frameworks.

The role requires strong client engagement, hands-on prototyping, and expertise in modern AI technologies. A strong consulting mindset, problem-solving skills, and passion for staying current with emerging GenAI trends are essential.

  • AI Engagements: Independently manage end-to-end delivery of AI-led transformation projects across industries, ensuring value realization and high client satisfaction.
  • Strategic Consulting & Roadmapping: Identify key enterprise challenges and translate them into AI solution opportunities, crafting transformation roadmaps that leverage RAG, LLMs, and intelligent agent frameworks.
  • LLM/RAG Solution Design & Implementation: Architect and deliver cutting-edge AI systems using Python, LangChain, LlamaIndex, OpenAI function calling, semantic search, and vector store integrations (FAISS, Qdrant, Pinecone, ChromaDB).
  • Agentic Systems: Design and deploy multi-step agent workflows using frameworks like CrewAI, LangGraph, AutoGen or ReAct, optimizing tool-augmented reasoning pipelines.
  • Client Engagement & Advisory: Build lasting client relationships as a trusted AI advisor, delivering technical insight and strategic direction on generative AI initiatives.
  • Hands-on Prototyping: Rapidly prototype PoCs using Python and modern ML/LLM stacks to demonstrate feasibility and business impact.
  • Thought Leadership: Conduct market research, stay updated with the latest in GenAI and RAG/Agentic systems, and contribute to whitepapers, blogs, and new offerings.

Essential Skills

  • Leadership Quality: Proven track record in leading cross-functional teams and delivering enterprise-grade AI projects with tangible business impact.
  • Business Consulting Mindset: Strong problem-solving, stakeholder communication, and business analysis skills to bridge technical and business domains.
  • Python & AI Proficiency: Advanced proficiency in Python and popular AI/ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, spaCy, NLTK). Solid understanding of NLP, embeddings, semantic search, and transformer models.
  • LLM Ecosystem Fluency: Experience with OpenAI, Cohere, Hugging Face models; prompt engineering; tool/function calling; and structured task orchestration.
  • Independent Contributor: Ability to own initiatives end-to-end, take decisions independently, and operate in fast-paced environments. – Education: Bachelor’s or Master’s in Computer Science, AI, Engineering, or related field. – Experience: Minimum 5 years of experience in consulting or technology roles, with at least 3 years focused on AI & ML solutions.

Preferred Skills

  • Cloud Platform Expertise: Strong familiarity with Microsoft Azure (preferred), AWS, or GCP — including compute instances, storage, managed services, and serverless/cloud-native deployment models.
  • Programming Paradigms: Hands-on experience with both functional and object-oriented programming in AI system design.
  • Hugging Face Ecosystem: Proficiency in using Hugging Face Transformers, Datasets, and Model Hub.
  • Vector Store Experience: Hands-on experience with FAISS, Qdrant, Pinecone, ChromaDB.
  • LangChain Expertise: Strong proficiency in LangChain for agentic task orchestration and RAG pipelines.
  • MLOps & Deployment: CI/CD for ML pipelines, MLOps tools (MLflow, Azure ML), containerization (Docker/Kubernetes).
  • Cloud & Service Architecture: Knowledge of microservices, scaling strategies, inter-service communication.
  • Programming Languages: Proficiency in Python and C# for enterprise-grade AI solution development.

Additional Skills

  • Excellent customer interfacing and stakeholder engagement skills.
  • Strong verbal and written communication in business and technical contexts.
  • High attention to detail and structured problem-solving.
  • Passion for AI ethics, safety, performance, and optimization in enterprise-grade systems.

Score my resume against this job, free →

Questions about this job

How do I apply for the AI Engineer job at Digile?

Use the apply link on this page: you apply directly with Digile on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Digile want for this AI Engineer role?

The job description asks for Python, scikit-learn, PyTorch, TensorFlow, spaCy, NLTK, NLP and embeddings. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Digile?

Apply to the Digile roles that match your experience, and tailor your resume to each job description: for this role that means showing Python, scikit-learn, PyTorch. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this AI Engineer job remote or onsite?

This is based in India.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with Digile, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

Will you get shortlisted for this role? Check your match free →