AI Engineer
Experience: 5–7 Years
Work Mode: Remote (1–2 days/month onsite at any HCL location)
Shift Timing: 3:00 PM – 12:00 AM IST
Role Overview
We are seeking a Senior AI Engineer to design, develop, and deploy scalable AI-driven solutions leveraging Large Language Models (LLMs) and modern AI frameworks. The ideal candidate will have strong hands-on experience with Python, OpenAI/GPT models, Gemini, backend development, and cloud deployment on GCP. You will work in an Agile environment delivering enterprise-grade, secure, and high-performance AI systems.
Key ResponsibilitiesAI & Backend Development
Design and integrate LLM-based solutions using OpenAI, Gemini, GPT-3.5, and GPT-4.0.
Implement prompt engineering, RAG (Retrieval-Augmented Generation), and structured AI workflows.
Develop scalable APIs and microservices using FastAPI and FastMCP.
Ensure efficient data exchange between AI models and application layers.
Data & Cloud Engineering
Design and optimize PostgreSQL schemas for AI-driven applications.
Build secure data pipelines for model training and inference.
Deploy and manage AI workloads on Google Cloud Platform (GCP), including Vertex AI.
Optimize infrastructure for scalability, performance, and cost efficiency.
Agile Delivery & Operations
Collaborate with Scrum teams and actively participate in sprint ceremonies.
Deliver sprint commitments aligned with planned capacity.
Identify and escalate risks, blockers, and dependencies proactively.
Support production incidents with root cause analysis and resolution.
Quality, Security & Best Practices
Apply testing, monitoring, and validation best practices for AI systems.
Ensure compliance with ethical AI standards including fairness and transparency.
Follow CI/CD and MLOps practices for AI model lifecycle management.
Mentor junior engineers and contribute to internal AI knowledge sharing.
Required Skills & Qualifications
5+ years of experience in AI/ML engineering or related roles.
Strong proficiency in Python, YAML, and backend frameworks like FastAPI.
Hands-on experience with OpenAI, Gemini, GPT-3.5, GPT-4.0.
Experience with PydanticAI and FastMCP.
Strong knowledge of PostgreSQL database design and optimization.
Hands-on experience deploying AI solutions on GCP.
Understanding of MLOps, CI/CD pipelines, and distributed systems.
Preferred Qualifications
Experience with LangChain or similar AI orchestration frameworks.
Knowledge of prompt engineering and AI safety practices.
Experience with Docker and Kubernetes for AI workloads.
Basic understanding of full-stack development concepts.
Strong communication and stakeholder collaboration skills.
Core Competencies
Automation-first mindset with strong software engineering fundamentals.
Ability to design scalable, secure, and maintainable solutions.
Strong analytical and problem-solving skills using data-driven approaches.
Customer-centric thinking with focus on business impact and usability.
Awareness of application security, performance, and operational standards.
Job Type: Contractual / Temporary
Contract length: 6-12 months
Pay: ₹70,000.00 - ₹90,000.00 per month
Experience:
LLM: 4 years (Required)
Work Location: Remote