Senior AI Engineer
Digiqt Technolabs · Ahmedabad · onsite · Posted 40d ago
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About this role
Senior AI Engineer
Location: Ahmedabad, Gujarat (Onsite only)
Employment Type: Full-Time
Experience: 3+ Years
Industry: Technology / AI Services
Job Description
Senior AI Engineer — Python, LLMs, AI Agents, RAG
Location: Ahmedabad, Gujarat (Onsite only) Employment Type: Full-Time Experience: 4+ Years Availability: Immediate / Early Joiner Preferred Domain: Enterprise AI | Agentic Systems | Production ML
About the Role
We are looking for an AI Systems Builder — a Senior AI Engineer who can take an AI problem all the way from business requirement to solution architecture, development, deployment, and production ownership.
This is not a role for someone who just experiments with LLMs or ships demos. We need someone who can understand a real business problem, identify where AI can genuinely create value, build the solution, integrate it with existing systems, deploy it to production, and own the outcome end-to-end.
Key Responsibilities
- Translate ambiguous business problems into practical, production-ready AI solutions
- Design and build LLM-powered applications and AI agents
- Build production-grade RAG systems, AI workflows, and intelligent automation
- Integrate AI solutions with existing APIs, backend systems, and enterprise applications
- Work with documents, unstructured data, and real business workflows
- Design prompts, evaluation frameworks, and end-to-end AI system architectures
- Deploy and operate AI solutions on the cloud
- Partner with engineering and business teams to continuously improve AI systems
- Evaluate new AI models, frameworks, and techniques for real business value
- Own performance, reliability, scalability, and business outcomes of what you ship
Technical Requirements
Must-Have
- Strong Python development experience
- Hands-on experience with LLMs and Generative AI
- Experience building AI Agents / Agentic AI systems
- Strong understanding of RAG (Retrieval-Augmented Generation)
- Prompt engineering expertise
- REST APIs and backend system integration
- AI application architecture design
- Cloud deployment experience
- Proven ability to build production-ready systems, not just proofs of concept
Good to Have
- OCR / Document Intelligence
- LangGraph, LangChain, LlamaIndex, CrewAI
- OpenAI APIs, Claude / Anthropic, Gemini
- Docker
- Vector Databases
- Experience with AI evaluation, observability, and optimization
- Prior Machine Learning experience
Experience
- 4+ years of professional software/AI engineering experience
- Proven track record of shipping projects from requirements through production deployment
- Demonstrated ability to move between business discussions, architecture, coding, and deployment
- Willingness to train custom models when required
Who We're Looking For
- Someone who asks What business problem are we solving — not just What model should we use
- Can independently convert an ambiguous problem into a working AI solution
- Understands that a successful AI system is more than an LLM API call
- Makes pragmatic technology decisions instead of over-engineering
- Takes ownership when something doesn't work
- Strong problem-solving and analytical skills
- Communicates clearly with both technical and non-technical stakeholders
- Excited about building real-world AI systems that go into production
Important
- Interview Mode: Offline / In-person only
- Apply only if you meet the required experience, location, and skills
- Only shortlisted candidates will be contacted
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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