Job Summary:
We are seeking an experienced AI/ML Copilot Consultant with a strong background in AI engineering, natural language processing (NLP), LLMs, and enterprise application integration. The ideal candidate will be responsible for designing, developing, and deploying AI-powered copilots tailored to business functions such as software development, customer service, business intelligence, and operational automation. You will work with cross-functional teams to transform user experiences with intelligent, context-aware assistants using LLMs and multimodal AI models.
Key Responsibilities:
- Strategy & Consulting
- Partner with stakeholders to identify and assess opportunities for AI Copilot integrations across business functions.
- Translate business use cases into AI solution architectures using LLMs, retrieval-augmented generation (RAG), and prompt engineering.
- Develop and deliver PoCs, prototypes, and production-ready solutions.
- Design & Development
- Architect and build Copilot systems using technologies like OpenAI, Azure AI Studio, AWS Bedrock, or custom LLM frameworks.
- Implement chat interfaces, voice UIs, or embedded copilots in tools like VS Code, Teams, Salesforce, or SAP.
- Develop pipelines for fine-tuning, RAG, embeddings, and tool use (e.g., LangChain, LlamaIndex).
- Integration & Deployment
- Integrate AI assistants with enterprise systems (ERP, CRM, knowledge bases, cloud services).
- Ensure robust APIs, low-latency inference, and secure access controls.
- Monitor Copilot usage, performance, and feedback loops for continuous improvement.
- Governance & Ethics
- Ensure adherence to responsible AI practices including transparency, fairness, and data privacy.
- Define policies around prompt safety, hallucination control, and user consent.
- Contribute to risk assessments, audits, and compliance frameworks.
Required Skills & Qualifications:
- 10+ years of experience in AI/ML, software engineering, or data science.
- Proven experience designing and deploying intelligent assistants or copilots.
- Deep understanding of LLMs (GPT, Claude, LLaMA, Gemini, etc.) and NLP concepts.
- Hands-on with prompt engineering, fine-tuning, vector databases, and toolchains (LangChain, Pinecone, Weaviate, etc.).
- Strong backend/API development experience (Python, Node.js, or similar).
- Experience with cloud platforms: Azure (OpenAI), AWS (SageMaker/Bot), or GCP.
- Familiarity with human-centered AI design and UX for conversational AI.
- Knowledge of security, data privacy (GDPR, HIPAA), and AI governance.
Preferred Qualifications:
- Certifications in AI/ML, cloud platforms, or relevant tools (e.g., Azure AI Engineer Associate).
- Experience in MLOps, CI/CD for ML pipelines, and A/B testing for copilots.
- Exposure to domain-specific Copilots (e.g., Legal AI Assistants, Developer Copilots, Finance AI).
- Experience in building multilingual or multimodal (voice, image, text) assistants.
Soft Skills:
- Strong client-facing communication and presentation skills.
- Strategic thinking and ability to work independently and as part of cross-functional teams.
- Agile mindset with rapid prototyping capabilities.
- Analytical and problem-solving approach with attention to detail.
Tools & Technologies:
- LLMs: OpenAI GPT-4/5, Claude, LLaMA, Mistral
- Copilot,LLM,NLP,AZURE
- Frameworks: LangChain, LlamaIndex, HuggingFace
- Vector DBs: Pinecone, FAISS, ChromaDB, Weaviate
- Cloud: Azure AI Studio, AWS Bedrock/SageMaker, GCP Vertex AI
- Dev: Python, FastAPI, Flask, Node.js, GitHub Copilot
- MLOps: MLflow, Kubeflow, Airflow
Job Type: Full-time
Pay: ₹90,000.00 - ₹130,000.00 per month
Benefits:
- Health insurance
- Work from home
Schedule: