Full Stack AI Engineer
First seen by Alion on Nov 11, 2026.
Full Stack AI Engineer | Bengaluru
About our client :
Our client is an international marketing and experiential agency group, working with global technology and enterprise brands from a large India presence. Its Bengaluru team builds digital products and campaigns for clients, and is now making AI part of how the agency runs and what it sells. This is a senior role.
The role :
You will build AI systems that the agency's own account, creative, production and operations teams rely on every day, and AI - powered features that ship inside client products. The work is split roughly evenly between internal platform and client delivery, and each feeds the other: what is proven internally becomes what the agency can credibly sell.
This is a hands - on, high - autonomy position. You will often be the person who spots the problem, scopes it, builds it and gets people to adopt it. Prototype cycles run about two weeks, and the default is to use existing models and tools rather than build from scratch.
What you will do :
Internal platform :
- Build and maintain internal AI tools and automations, from scoping with the teams who need them through deployment, adoption tracking and iteration
- Design retrieval systems over the agency's past projects, proposals, case studies and creative work
- Build AI - assisted authoring for briefs, estimates, scopes of work, status reports and recaps
- Create brand - consistent, AI - assisted asset generation at scale, with rule - based checks and human review
- Automate handoffs between project management, time tracking, Google Workspace, HR and finance systems
- Build automated QA testing and continuous security assessment into delivery
- Set practical guardrails for AI use: output evaluation, data handling and cost monitoring
Client delivery :
- Act as the AI engineering lead on client engagements, from discovery and feasibility to prototype, production build and handoff
- Build AI features inside client platforms: personalisation, content generation, search and retrieval, compliance review, workflow automation
- Run quick proof - of - concept cycles and give clients an honest read on what a model can and cannot do reliably
- Support new business with working prototypes and act as the technical voice in pitches, RFPs and scoping
- Turn solutions that work into repeatable capabilities
What we are looking for :
- 8+ years of software development experience
- 3+ years building generative AI systems that reached production with substantial user adoption
- Hands - on agentic systems work with frameworks such as LangChain, LangGraph, CrewAI, Strands, Claude SDK or OpenAI Agents SDK, including orchestrator and multi - agent patterns, tool use via MCP, and state persistence
- Production RAG experience, including self - reflective, corrective and adaptive patterns, hybrid semantic and graph retrieval, and semantic caching
- Working knowledge of vector databases, and of when a knowledge graph serves better than embeddings
- Strong Python and core AI/ML libraries, with solid NLP and comfort with unstructured text
- Deployment experience on AWS, Azure or GCP, with Docker, Kubernetes and CI/CD
- Evaluation and observability for AI systems: OTEL - based tracing, output evaluation, cost monitoring, model and prompt versioning
- Guardrails for generated content, including brand or compliance review and human - in - the - loop design
- Security and privacy practice for AI systems handling sensitive data
- Automated testing for agentic systems
- Ability to explain complex ideas to non - technical colleagues, from account teams to creative directors
- Comfort with ambiguity and imperfect, fragmented data
Good to have :
- Marketing, advertising, digital product or events industry exposure
- Experience building internal tools for a services business
- Leading or mentoring peers
- Client - facing or consulting experience, including RFP responses
- Familiarity with agency operations systems (project management, time tracking, finance, HR)
- Conference talks, published work or open - source contributions in AI engineering
Location :
Bengaluru, office - based with flexibility as required
Skills
Full Stack, AI Integration, Generative AI, Python, LangChain, AWS, Azure, VectorDB